A predictive model for assistive technology adoption for people with dementia.

PubMed

Zhang, Shuai; McClean, Sally I; Nugent, Chris D; Donnelly, Mark P; Galway, Leo; Scotney, Bryan W; Cleland, Ian

2014-01-01

Assistive technology has the potential to enhance the level of independence of people with dementia, thereby increasing the possibility of supporting home-based care. In general, people with dementia are reluctant to change; therefore, it is important that suitable assistive technologies are selected for them. Consequently, the development of predictive models that are able to determine a person's potential to adopt a particular technology is desirable. In this paper, a predictive adoption model for a mobile phone-based video streaming system, developed for people with dementia, is presented. Taking into consideration characteristics related to a person's ability, living arrangements, and preferences, this paper discusses the development of predictive models, which were based on a number of carefully selected data mining algorithms for classification. For each, the learning on different relevant features for technology adoption has been tested, in conjunction with handling the imbalance of available data for output classes. Given our focus on providing predictive tools that could be used and interpreted by healthcare professionals, models with ease-of-use, intuitive understanding, and clear decision making processes are preferred. Predictive models have, therefore, been evaluated on a multi-criterion basis: in terms of their prediction performance, robustness, bias with regard to two types of errors and usability. Overall, the model derived from incorporating a k-Nearest-Neighbour algorithm using seven features was found to be the optimal classifier of assistive technology adoption for people with dementia (prediction accuracy 0.84 ± 0.0242).

Interorganizational Systems Adoption: A Socio-Technical Perspective

NASA Astrophysics Data System (ADS)

Bunker, Deborah; Kautz, Karlheinz; Pyne, Clayton

This paper discusses a case study of an electronic data interchange (EDI) interorganizational system (IOS) adoption project between two organizations (ProvideCo and BuildCo) highlighting that IOS adoption is not only technological in nature and orientation but that organizational factors also play their part. As a result of the case analysis and key findings, an interorganizational collaboration model (Barratt 2004) is amended to explain and highlight the effect of organizational factors on IOS adoption. The amended model includes the relationship of technology (IOS) adoption to cross-functional collaborative activities and risk, power, opportunism, and trust.

An Exploration of the Factors Influencing the Adoption of an IS Governance Framework

ERIC Educational Resources Information Center

Parker, Sharon L.

2013-01-01

This research explored IT governance framework adoption, leveraging established IS theories. It applied both the technology acceptance model (TAM) and the technology, organization, environment (TOE) models. The study consisted of developing a model utilizing TOE and TAM, deriving relevant hypotheses. Interviews with a group of practitioners…

Factors of adoption of mobile information technology by homecare nurses: a technology acceptance model 2 approach.

PubMed

Zhang, Huiying; Cocosila, Mihail; Archer, Norm

2010-01-01

Pervasive healthcare support through mobile information technology solutions is playing an increasing role in the attempt to improve healthcare and reduce costs. Despite the apparent attractiveness, many mobile applications have failed or have not been implemented as predicted. Among factors possibly leading to such outcomes, technology adoption is a key problem. This must be investigated early in the development process because healthcare is a particularly sensitive area with vital social implications. Moreover, it is important to investigate technology acceptance using the support of scientific tools validated for relevant information systems research. This article presents an empirical study based on the Technology Acceptance Model 2 in mobile homecare nursing. The study elicited the perceptions of 91 Canadian nurses who used personal digital assistants for 1 month in their daily activities. A partial least squares modeling data analysis revealed that nurse's perception of usefulness is the main factor in the adoption of mobile technology, having subjective norm and image within the organization as significant antecedents. Overall, this study was the first attempt at investigating scientifically, through a pertinent information systems research model, user adoption of mobile systems by homecare nursing personnel.

Applying the Precaution Adoption Process Model to the Acceptance of Mine Safety and Health Technologies

PubMed Central

2018-01-01

Mineworkers are continually introduced to protective technologies on the job. Yet, their perceptions toward the technologies are often not addressed until they are actively trying to use them, which may halt safe technology adoption and associated work practices. This study explored management and worker perspectives toward three technologies to forecast adoption and behavioral intention on the job. Interviews and focus groups were conducted with 21 mineworkers and 19 mine managers to determine the adoption process stage algorithm for workers and managers, including perceived barriers to using new safety and health technologies. Differences between workers and managers were revealed in terms of readiness, perceptions, and initial trust in using technologies. Workers, whether they had or had not used a particular technology, still had negative perceptions toward its use in the initial introduction and integration at their mine site, indicating a lengthy time period needed for full adoption. The key finding from these results is that a carefully considered and extended introduction of technology for workers in Stage 3 (undecided to act) is most important to promote progression to Stage 5 (decided to act) and to avoid Stage 4 (decided not to act). In response, organizational management may need to account for workers’ particular stage algorithm, using the Precaution Adoption Process Model, to understand how to tailor messages about protective technologies, administer skill-based trainings and interventions that raise awareness and knowledge, and ultimately encourage safe adoption of associated work practices. PMID:29862314

Applying the Precaution Adoption Process Model to the Acceptance of Mine Safety and Health Technologies.

PubMed

Haas, Emily J

2018-03-01

Mineworkers are continually introduced to protective technologies on the job. Yet, their perceptions toward the technologies are often not addressed until they are actively trying to use them, which may halt safe technology adoption and associated work practices. This study explored management and worker perspectives toward three technologies to forecast adoption and behavioral intention on the job. Interviews and focus groups were conducted with 21 mineworkers and 19 mine managers to determine the adoption process stage algorithm for workers and managers, including perceived barriers to using new safety and health technologies. Differences between workers and managers were revealed in terms of readiness, perceptions, and initial trust in using technologies. Workers, whether they had or had not used a particular technology, still had negative perceptions toward its use in the initial introduction and integration at their mine site, indicating a lengthy time period needed for full adoption. The key finding from these results is that a carefully considered and extended introduction of technology for workers in Stage 3 (undecided to act) is most important to promote progression to Stage 5 (decided to act) and to avoid Stage 4 (decided not to act). In response, organizational management may need to account for workers' particular stage algorithm, using the Precaution Adoption Process Model, to understand how to tailor messages about protective technologies, administer skill-based trainings and interventions that raise awareness and knowledge, and ultimately encourage safe adoption of associated work practices.

Technological Adoption and Organizational Adaptation: Developing a Model for Human Resource Management in an International Business Environment.

ERIC Educational Resources Information Center

Gattiker, Urs E.

A model of technological training has two dimensions: level of cultural stability and employee's level of cognitive ability. Each dimension has two variables. The variables of cultural stability are (1) technological adoption and organizational adaptation and (2) structure of work and work processes. For cognitive ability, the variables are…

Factors of Online Learning Adoption: A Comparative Juxtaposition of the Theory of Planned Behaviour and the Technology Acceptance Model

ERIC Educational Resources Information Center

Ndubisi, Nelson

2006-01-01

Organisational investments in information technologies have increased significantly in the past few decades. All around the globe and in Malaysia particularly, a number of educational institutions are experimenting with e-learning. Adopting the theory of planned behaviour (TPB) and the technology acceptance model (TAM) this article tries to…

Modeling the adoption of innovations in the presence of geographic and media influences.

PubMed

Toole, Jameson L; Cha, Meeyoung; González, Marta C

2012-01-01

While there is a large body of work examining the effects of social network structure on innovation adoption, models to date have lacked considerations of real geography or mass media. In this article, we show these features are crucial to making more accurate predictions of a social contagion and technology adoption at a city-to-city scale. Using data from the adoption of the popular micro-blogging platform, Twitter, we present a model of adoption on a network that places friendships in real geographic space and exposes individuals to mass media influence. We show that homophily both among individuals with similar propensities to adopt a technology and geographic location is critical to reproducing features of real spatiotemporal adoption. Furthermore, we estimate that mass media was responsible for increasing Twitter's user base two to four fold. To reflect this strength, we extend traditional contagion models to include an endogenous mass media agent that responds to those adopting an innovation as well as influencing agents to adopt themselves.

Empirical study of the perceived ease of use and relative advantage on load-bearing masonry (LBM) technology adoption

NASA Astrophysics Data System (ADS)

Ramli, Nor Azlinda; Abdullah, Che Sobry; Nawi, Mohd Nasrun Mohd

2017-11-01

Load-bearing masonry (LBM) technology has been identified as an alternative method that can potentially encourage the sustainability of the housing industry. The adoption of LBM technology is believed to bring beneficial effects to the housing industry as well as company productivity. The factors related to the adoption LBM technology was revealed to strongly influence the implementation of this system in the housing industry. The aim of this study is to determine the factors influencing the adoption of LBM technology among the developer firms in Malaysia as well as the factors that are highly related to perceived ease of use and relative advantage. A random sampling technique was applied and a questionnaire-based field survey was carried out to obtain the data from the respondents. All the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings of this paper have revealed that perceived ease of use and relative advantage are related to the adoption of LBM technology. The findings also indicated the validity of Technology Acceptance Model TAM (perceived ease of use) and Innovation Diffusion Theory IDT (relative advantage) as the determinant factors in the adoption of LBM technology. Finally, some recommendations for future research are suggested in the final section of this paper.

Towards understanding healthcare professionals' adoption and use of technologies in clinical practice: Using Qmethodology and models of technology acceptance.

PubMed

Ladan, Muhammad Awwal; Wharrad, Heather; Windle, Richard

2018-03-09

Technologies have globally been recognised to improve productivity across different areas of practice including healthcare. This has been achieved due to the expansion of computers and other forms of information technologies. Despite this advancement, there has also been the growing challenge of the adoption and use of these technologies within practice and especially in healthcare. The evolution of information technologies and more specifically e-health within the healthcare practice has its own barriers and facilitators. This paper describes a pilot study to explore these factors that influence information and technology adoption and use by health professionals in the clinical area in Sub-Saharan Africa. We report on the use of Q-methodology and the models of technology acceptance used in combination for the first time. The methodology used for this study aims to explore the subjectivity of healthcare professionals and present their shared views (factors) on their adoption and use of e-health within clinical practice.

Awareness and Adoption of Soil and Water Conservation Technologies in a Developing Country: A Case of Nabajuzi Watershed in Central Uganda

NASA Astrophysics Data System (ADS)

Kagoya, Sarah; Paudel, Krishna P.; Daniel, Nadhomi L.

2018-02-01

Soil and water conservation technologies have been widely available in most parts of Uganda. However, not only has the adoption rate been low but also many farmers seem not to be aware of these technologies. This study aims at identifying the factors that influence awareness and adoption of soil and water conservation technologies in Nabajuzi watershed in central Uganda. A bivariate probit model was used to examine farmers' awareness and adoption of soil and water conservation technologies in the watershed. We use data collected from the interview of 400 households located in the watershed to understand the factors affecting the awareness and adoption of these technologies in the study area. Findings indicate that the likelihood of being aware and adopting the technologies are explained by the age of household head, being a tenant, and number of years of access to farmland. To increase awareness and adoption of technologies in Uganda, policymakers may expedite the process of land titling as farmers may feel secure about landholding and thus adopt these technologies to increase profitability and productivity in the long run. Incentive payments to farmers residing in the vulnerable region to adopt these considered technologies may help to alleviate soil deterioration problems in the affected area.

Awareness and Adoption of Soil and Water Conservation Technologies in a Developing Country: A Case of Nabajuzi Watershed in Central Uganda.

PubMed

Kagoya, Sarah; Paudel, Krishna P; Daniel, Nadhomi L

2018-02-01

Soil and water conservation technologies have been widely available in most parts of Uganda. However, not only has the adoption rate been low but also many farmers seem not to be aware of these technologies. This study aims at identifying the factors that influence awareness and adoption of soil and water conservation technologies in Nabajuzi watershed in central Uganda. A bivariate probit model was used to examine farmers' awareness and adoption of soil and water conservation technologies in the watershed. We use data collected from the interview of 400 households located in the watershed to understand the factors affecting the awareness and adoption of these technologies in the study area. Findings indicate that the likelihood of being aware and adopting the technologies are explained by the age of household head, being a tenant, and number of years of access to farmland. To increase awareness and adoption of technologies in Uganda, policymakers may expedite the process of land titling as farmers may feel secure about landholding and thus adopt these technologies to increase profitability and productivity in the long run. Incentive payments to farmers residing in the vulnerable region to adopt these considered technologies may help to alleviate soil deterioration problems in the affected area.

A Model to Predict Educators' Attitudes towards Technology and Thus Technology Adoption

ERIC Educational Resources Information Center

Govender, D. W.

2012-01-01

"Technology," the buzz word for the last ten to fifteen years in South Africa. Technology availability is quite often mistaken for technology adoption and use. Technology has been made available to almost all tertiary institutions and at least some public schools. However, in most tertiary institutions many professors still refuse to use…

Network Centric Warfare in the U.S. Navy’s Fifth Fleet. Network-Supported Operational Level Command and Control in Operation Enduring Freedom

DTIC Science & Technology

2004-06-01

Mark Adkins Director of Research Ph.D Human Communication adkins@arizona.edu Dr. John Kruse Director of Programming Ph.D Management Information Systems...Theory • Network Centric Warfare • Technology Adoption – Technology Adoption Model – Technology Transition Model • Human Communication – Social Context

A University Engagement Model for Achieving Technology Adoption and Performance Improvement Impacts in Healthcare, Manufacturing, and Government

ERIC Educational Resources Information Center

McKinnis, David R.; Sloan, Mary Anne; Snow, L. David; Garimella, Suresh V.

2014-01-01

The Purdue Technical Assistance Program (TAP) offers a model of university engagement and service that is achieving technology adoption and performance improvement impacts in healthcare, manufacturing, government, and other sectors. The TAP model focuses on understanding and meeting the changing and challenging needs of those served, always…

Comparison of Vehicle Choice Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephens, Thomas S.; Levinson, Rebecca S.; Brooker, Aaron

Five consumer vehicle choice models that give projections of future sales shares of light-duty vehicles were compared by running each model using the same inputs, where possible, for two scenarios. The five models compared — LVCFlex, MA3T, LAVE-Trans, ParaChoice, and ADOPT — have been used in support of the Energy Efficiency and Renewable Energy (EERE) Vehicle Technologies Office in analyses of future light-duty vehicle markets under different assumptions about future vehicle technologies and market conditions. The models give projections of sales shares by powertrain technology. Projections made using common, but not identical, inputs showed qualitative agreement, with the exception ofmore » ADOPT. ADOPT estimated somewhat lower advanced vehicle shares, mostly composed of hybrid electric vehicles. Other models projected large shares of multiple advanced vehicle powertrains. Projections of models differed in significant ways, including how different technologies penetrated cars and light trucks. Since the models are constructed differently and take different inputs, not all inputs were identical, but were the same or very similar where possible.« less

Informatics technology mimics ecology: dense, mutualistic collaboration networks are associated with higher publication rates.

PubMed

Sorani, Marco D

2012-01-01

Information technology (IT) adoption enables biomedical research. Publications are an accepted measure of research output, and network models can describe the collaborative nature of publication. In particular, ecological networks can serve as analogies for publication and technology adoption. We constructed network models of adoption of bioinformatics programming languages and health IT (HIT) from the literature.We selected seven programming languages and four types of HIT. We performed PubMed searches to identify publications since 2001. We calculated summary statistics and analyzed spatiotemporal relationships. Then, we assessed ecological models of specialization, cooperativity, competition, evolution, biodiversity, and stability associated with publications.Adoption of HIT has been variable, while scripting languages have experienced rapid adoption. Hospital systems had the largest HIT research corpus, while Perl had the largest language corpus. Scripting languages represented the largest connected network components. The relationship between edges and nodes was linear, though Bioconductor had more edges than expected and Perl had fewer. Spatiotemporal relationships were weak. Most languages shared a bioinformatics specialization and appeared mutualistic or competitive. HIT specializations varied. Specialization was highest for Bioconductor and radiology systems. Specialization and cooperativity were positively correlated among languages but negatively correlated among HIT. Rates of language evolution were similar. Biodiversity among languages grew in the first half of the decade and stabilized, while diversity among HIT was variable but flat. Compared with publications in 2001, correlation with publications one year later was positive while correlation after ten years was weak and negative.Adoption of new technologies can be unpredictable. Spatiotemporal relationships facilitate adoption but are not sufficient. As with ecosystems, dense, mutualistic, specialized co-habitation is associated with faster growth. There are rapidly changing trends in external technological and macroeconomic influences. We propose that a better understanding of how technologies are adopted can facilitate their development.

Adopting MOOCs for Affordable Quality Education

ERIC Educational Resources Information Center

Mohapatra, Sanjay; Mohanty, Rituparna

2017-01-01

Devgun ["International Journal of Information and Computation Technology," 3(7), 641-646, (2013)] and Sarkar et al. (2016) have discussed models those help in overcoming challenges while adopting technology with higher education. But these models need to be modified in the context of MOOCS. To overcome these challenges, we have developed…

Dynamic Modeling of New Technology Succession: Projecting the Impact of Macro Events and Micro Behaviors On Software Market Cycles

NASA Astrophysics Data System (ADS)

Mertz, Sharon A.; Groothuis, Adam; Fellman, Philip Vos

The subject of technology succession and new technology adoption in a generalized sense has been addressed by numerous authors for over one hundred years. Models which accommodate macro-level events as well as micro-level actions are needed to gain insight to future market outcomes. In the ICT industry, macro-level factors affecting technology adoption include global events and shocks, economic factors, and global regulatory trends. Micro-level elements involve individual agent actions and interactions, such as the behaviors of buyers and suppliers in reaction to each other, and to macro events. Projecting technology adoption and software market composition and growth requires evaluating a special set of technology characteristics, buyer behaviors, and supplier issues and responses which make this effort particularly challenging.

Ethical adoption: A new imperative in the development of technology for dementia.

PubMed

Robillard, Julie M; Cleland, Ian; Hoey, Jesse; Nugent, Chris

2018-06-19

Technology interventions are showing promise to assist persons with dementia and their carers. However, low adoption rates for these technologies and ethical considerations have impeded the realization of their full potential. Building on recent evidence and an iterative framework development process, we propose the concept of "ethical adoption": the deep integration of ethical principles into the design, development, deployment, and usage of technology. Ethical adoption is founded on five pillars, supported by empirical evidence: (1) inclusive participatory design; (2) emotional alignment; (3) adoption modelling; (4) ethical standards assessment; and (5) education and training. To close the gap between adoption research, ethics and practice, we propose a set of 18 practical recommendations based on these ethical adoption pillars. Through the implementation of these recommendations, researchers and technology developers alike will benefit from evidence-informed guidance to ensure their solution is adopted in a way that maximizes the benefits to people with dementia and their carers while minimizing possible harm. Copyright © 2018 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Bridging the gap between sustainable technology adoption and protecting natural resources: Predicting intentions to adopt energy management technologies in California

DOE PAGES

Chen, Bingye; Sintov, Nicole

2016-10-24

To achieve energy savings, emerging energy management technologies and programs require customer adoption. Although a variety of models can be used to explain the adoption of energy management technologies and programs, they overlook the seemingly unconventional element of level of affiliation with nature. In fact, connectedness to nature has been identified as an important driver of many pro-environmental behaviors, but its role in pro-environmental technology adoption is also not well understood. Can affiliation with nature help to bridge the apparent gap—and complex chain of events—between sustainable technology adoption and protecting natural resources? Based on survey data from 856 southern Californiamore » residents, this study investigated the influence of connectedness to nature and other factors on intentions to adopt five energy management technologies and programs: using three platforms to monitor home energy use (website, mobile phone application, in-home display); signing up for a time-of-use pricing plan; and participating in demand response events. Regression results showed that nature connectedness was the strongest predictor of all outcomes such that higher nature connectedness predicted greater likelihood of technology and program adoption. In conclusion, these findings suggest that connectedness to nature may facilitate “bridging the logic gap” between sustainable innovation adoption and environmental protection.« less

Drivers for precision livestock technology adoption: A study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales

PubMed Central

Hopkins, Thomas; Gurney, Emma; Shortall, Orla; Lovatt, Fiona; Davies, Peers; Williamson, George; Kaler, Jasmeet

2018-01-01

The UK is the largest lamb meat producer in Europe. However, the low profitability of sheep farming sector suggests production efficiency could be improved. Although the use of technologies such as Electronic Identification (EID) tools could allow a better use of flock resources, anecdotal evidence suggests they are not widely used. The aim of this study was to assess uptake of EID technology, and explore drivers and barriers of adoption of related tools among English and Welsh farmers. Farm beliefs and management practices associated with adoption of this technology were investigated. A total of 2000 questionnaires were sent, with a response rate of 22%. Among the respondents, 87 had adopted EID tools for recording flock information, 97 intended to adopt it in the future, and 222 neither had adopted it, neither intended to adopt it. Exploratory factor analysis (EFA) and multivariable logistic regression modelling were used to identify farmer beliefs and management practices significantly associated with adoption of EID technology. EFA identified three factors expressing farmer’s beliefs–external pressure and negative feelings, usefulness and practicality. Our results suggest farmer’s beliefs play a significant role in technology uptake. Non-adopters were more likely than adopters to believe that ‘government pressurise farmers to adopt technology’. In contrast, adopters were significantly more likely than non-adopters to see EID as practical and useful (p≤0.05). Farmers with higher information technologies literacy and intending to intensify production in the future were significantly more likely to adopt EID technology (p≤0.05). Importantly, flocks managed with EID tools had significantly lower farmer- reported flock lameness levels (p≤0.05). These findings bring insights on the dynamics of adoption of EID tools. Communicating evidence of the positive effects EID tools on flock performance and strengthening farmer’s capability in use of technology are likely to enhance the uptake of this technology in sheep farms. PMID:29293617

Meeting the Challenge of Providing Flexible Learning Opportunities: Considerations for Technology Adoption amongst Academic Staff (Relever le défi de fournir des occasions d'apprentissage flexibles: considérations pour l'adoption de la technologie par le personnel universitaire)

ERIC Educational Resources Information Center

Mirriahi, Negin; Vaid, Bhuvinder S.; Burns, David P.

2015-01-01

This paper reports on a subset of findings from a larger study investigating resistance from academic staff to the integration of technology with on-campus foreign language teaching at one North American higher education institution. The study revealed that the factors influencing technology adoption paralleled Davis' Technology Acceptance Model's…

The Bring Your Own Technology Initiative: An Examination of Teachers' Adoption

ERIC Educational Resources Information Center

Cardoza, Yanet; Tunks, Jeanne

2014-01-01

This case study explored teachers' concerns, use, and actual practices in their adoption of the Bring Your Own Technology (BYOT) initiative. Participants were 12 secondary teachers in a private school setting. The Concerns-Based Adoption Model tools provided data: Stages of Concern Questionnaire (SoCQ), Levels of Use interview, and the Innovation…

Experts on Super Innovators: Understanding Staff Adoption of Learning Management Systems

ERIC Educational Resources Information Center

Sinclair, Jane; Aho, Anne-Maria

2018-01-01

Learning management systems (LMSs) are widely used in higher education and offer a gateway to innovative, technology-enhanced teaching and learning. However, many university staff still choose not to adopt them or do not explore the more creative functionality. Previous research has developed models of technology adoption which map observed…

The Adoption and Diffusion of Web Technologies into Mainstream Teaching.

ERIC Educational Resources Information Center

Hansen, Steve; Salter, Graeme

2001-01-01

Discusses various adoption and diffusion frameworks and methodologies to enhance the use of Web technologies by teaching staff. Explains the use of adopter-based models for product development; discusses the innovation-decision process; and describes PlatformWeb, a Web information system that was developed to help integrate a universities'…

Adoption of innovations with contrarian agents and repentance

NASA Astrophysics Data System (ADS)

Gordon, Mirta B.; Laguna, M. F.; Gonçalves, S.; Iglesias, J. R.

2017-11-01

The dynamics of adoption of innovations is an important subject in many fields and areas, like technological development, industrial processes, social behavior, fashion or marketing. The number of adopters of a new technology generally increases following a kind of logistic function. However, empirical data provide evidences that this behavior may be more complex, as many factors influence the decision to adopt an innovation. On the one hand, although some individuals are inclined to adopt an innovation if many people do the same, there are others who act in the opposite direction, trying to differentiate from the ;herd;. People who prefer to behave like the others are called mimetic, whereas individuals who resist adopting new products, the stronger the greater the number of adopters, are named contrarians. Besides, in the real world new adopters may have second thoughts and change their decisions accordingly. In this contribution we include this possibility by means of repentance, a feature which was absent in previous models. The model of adoption of an innovation has all the ingredients of a previous version, in which the agents decision to adopt depends on the appeal of the novelty, the inertia or resistance to adopt it, and the social interactions with other agents, but now agents can repent and turn back to the old technology. We present analytic calculations and numerical simulations to determine the conditions for the establishment of the new technology. The inclusion of repentance can modify the balance between the global incentive to adopt and the number of contrarians who prevent full adoption, generating a rich landscape of temporal evolution that includes cycles of adoption.

Factors Affecting Faculty Use of Learning Technologies: Implications for Models of Technology Adoption

ERIC Educational Resources Information Center

Buchanan, Tom; Sainter, Phillip; Saunders, Gunter

2013-01-01

This study examines factors associated with the use of learning technologies by higher education faculty. In an online survey in a UK university, 114 faculty respondents completed a measure of Internet self-efficacy, and reported on their use of learning technologies along with barriers to their adoption. Principal components analysis suggested…

A Case for Adapting and Applying Continuance Theory to Education: Understanding the Role of Student Feedback in Motivating Teachers to Persist with Including Digital Technologies in Learning

ERIC Educational Resources Information Center

Wright, Noeline

2015-01-01

In New Zealand schools, the adoption and persistent use of digital tools to aid learning is a growing but uneven, trend, often linked to the practices of early adopters and/or robust wifi infrastructure. The Technology Adoption Model is used internationally to gauge levels of uptake of technological tools, particularly in commerce and also in…

Examining the Antecedents of ICT Adoption in Education Using an Extended Technology Acceptance Model (TAM)

ERIC Educational Resources Information Center

Teeroovengadum, Viraiyan; Heeraman, Nabeel; Jugurnath, Bhavish

2017-01-01

This study assesses the determinants of ICT adoption by educators in the teaching and learning process in the context of a developing country, Mauritius. A hierarchical regression analysis is used, to firstly determine the incremental effects of factors from the technology acceptance model (TAM) while controlling for demographic variables such as…

Testing of technology readiness index model based on exploratory factor analysis approach

NASA Astrophysics Data System (ADS)

Ariani, AF; Napitupulu, D.; Jati, RK; Kadar, JA; Syafrullah, M.

2018-04-01

SMEs readiness in using ICT will determine the adoption of ICT in the future. This study aims to evaluate the model of technology readiness in order to apply the technology on SMEs. The model is tested to find if TRI model is relevant to measure ICT adoption, especially for SMEs in Indonesia. The research method used in this paper is survey to a group of SMEs in South Tangerang. The survey measures the readiness to adopt ICT based on four variables which is Optimism, Innovativeness, Discomfort, and Insecurity. Each variable contains several indicators to make sure the variable is measured thoroughly. The data collected through survey is analysed using factor analysis methodwith the help of SPSS software. The result of this study shows that TRI model gives more descendants on some indicators and variables. This result can be caused by SMEs owners’ knowledge is not homogeneous about either the technology that they are used, knowledge or the type of their business.

Understanding the Adoption Process of National Security Technology: An Integration of Diffusion of Innovations and Volitional Behavior Theories.

PubMed

Iles, Irina A; Egnoto, Michael J; Fisher Liu, Brooke; Ackerman, Gary; Roberts, Holly; Smith, Daniel

2017-11-01

After the 9/11 terrorist attacks, the U.S. government initiated several national security technology adoption programs. The American public, however, has been skeptical about these initiatives and adoption of national security technologies has been mandated, rather than voluntary. We propose and test a voluntary behavioral intention formation model for the adoption of one type of new security technology: portable radiation detectors. Portable radiation detectors are an efficient way of detecting radiological and nuclear threats and could potentially prevent loss of life and damage to individuals' health. However, their functioning requires that a critical mass of individuals use them on a daily basis. We combine the explanatory advantages of diffusion of innovation with the predictive power of two volitional behavior frameworks: the theory of reasoned action and the health belief model. A large sample survey (N = 1,482) investigated the influence of factors identified in previous diffusion of innovation research on portable radiation detector adoption intention. Results indicated that nonfinancial incentives, as opposed to financial incentives, should be emphasized in persuasive communications aimed at fostering adoption. The research provides a new integration of diffusion of innovation elements with determinants of volitional behavior from persuasion literature, and offers recommendations on effective communication about new security technologies to motivate public adoption and enhance national safety. © 2017 Society for Risk Analysis.

Informatics Technology Mimics Ecology: Dense, Mutualistic Collaboration Networks Are Associated with Higher Publication Rates

PubMed Central

Sorani, Marco D.

2012-01-01

Information technology (IT) adoption enables biomedical research. Publications are an accepted measure of research output, and network models can describe the collaborative nature of publication. In particular, ecological networks can serve as analogies for publication and technology adoption. We constructed network models of adoption of bioinformatics programming languages and health IT (HIT) from the literature. We selected seven programming languages and four types of HIT. We performed PubMed searches to identify publications since 2001. We calculated summary statistics and analyzed spatiotemporal relationships. Then, we assessed ecological models of specialization, cooperativity, competition, evolution, biodiversity, and stability associated with publications. Adoption of HIT has been variable, while scripting languages have experienced rapid adoption. Hospital systems had the largest HIT research corpus, while Perl had the largest language corpus. Scripting languages represented the largest connected network components. The relationship between edges and nodes was linear, though Bioconductor had more edges than expected and Perl had fewer. Spatiotemporal relationships were weak. Most languages shared a bioinformatics specialization and appeared mutualistic or competitive. HIT specializations varied. Specialization was highest for Bioconductor and radiology systems. Specialization and cooperativity were positively correlated among languages but negatively correlated among HIT. Rates of language evolution were similar. Biodiversity among languages grew in the first half of the decade and stabilized, while diversity among HIT was variable but flat. Compared with publications in 2001, correlation with publications one year later was positive while correlation after ten years was weak and negative. Adoption of new technologies can be unpredictable. Spatiotemporal relationships facilitate adoption but are not sufficient. As with ecosystems, dense, mutualistic, specialized co-habitation is associated with faster growth. There are rapidly changing trends in external technological and macroeconomic influences. We propose that a better understanding of how technologies are adopted can facilitate their development. PMID:22279593

Introducing Electronic Textbooks as Daily-Use Technology in Schools: A Top-Down Adoption Process

ERIC Educational Resources Information Center

Chiu, Thomas K. F.

2017-01-01

This study took frequency of use and the adoption process into account to define the participants and external variables of the research model. School electronic textbooks are a daily-use technology and they are adopted in a compulsory, top-down way. Their introduction can evoke feelings of anxiety among teachers because of a possible increase in…

Factors affecting RFID adoption in the agricultural product distribution industry: empirical evidence from China.

PubMed

Shi, Ping; Yan, Bo

2016-01-01

We conducted an exploratory investigation of factors influencing the adoption of radio frequency identification (RFID) methods in the agricultural product distribution industry. Through a literature review and field research, and based on the technology-organization-environment (TOE) theoretical framework, this paper analyzes factors influencing RFID adoption in the agricultural product distribution industry in reference to three contexts: technological, organizational, and environmental contexts. An empirical analysis of the TOE framework was conducted by applying structural equation modeling based on actual data from a questionnaire survey on the agricultural product distribution industry in China. The results show that employee resistance and uncertainty are not supported by the model. Technological compatibility, perceived effectiveness, organizational size, upper management support, trust between enterprises, technical knowledge, competitive pressure and support from the Chinese government, which are supported by the model, have significantly positive effects on RFID adoption. Meanwhile, organizational size has the strongest positive effect, while competitive pressure levels have the smallest effect. Technological complexities and costs have significantly negative effects on RFID adoption, with cost being the most significantly negative influencing factor. These research findings will afford enterprises in the agricultural products supply chain with a stronger understanding of the factors that influence RFID adoption in the agricultural product distribution industry. In addition, these findings will help enterprises remain aware of how these factors affect RFID adoption and will thus help enterprises make more accurate and rational decisions by promoting RFID application in the agricultural product distribution industry.

External factors in hospital information system (HIS) adoption model: a case on Malaysia.

PubMed

Lee, Heng Wei; Ramayah, Thurasamy; Zakaria, Nasriah

2012-08-01

Studies related to healthcare ICT integration in Malaysia are relatively little, thus this paper provide a literature review of the integration of information and communication technologies (ICT) in the healthcare sector in Malaysia through the hospital information system (HIS). Our study emphasized on secondary data to investigate the factors related to ICT integration in healthcare through HIS. Therefore this paper aimed to gather an in depth understanding of issues related to HIS adoption, and contributing in fostering HIS adoption in Malaysia and other countries. This paper provides a direction for future research to study the correlation of factors affecting HIS adoption. Finally a research model is proposed using current adoption theories and external factors from human, technology, and organization perspectives.

Essays in energy, environment and technological change

NASA Astrophysics Data System (ADS)

Zhou, Yichen Christy

This dissertation studies technological change in the context of energy and environmental economics. Technology plays a key role in reducing greenhouse gas emissions from the transportation sector. Chapter 1 estimates a structural model of the car industry that allows for endogenous product characteristics to investigate how gasoline taxes, R&D subsidies and competition affect fuel efficiency and vehicle prices in the medium-run, both through car-makers' decisions to adopt technologies and through their investments in knowledge capital. I use technology adoption and automotive patents data for 1986-2006 to estimate this model. I show that 92% of fuel efficiency improvements between 1986 and 2006 were driven by technology adoption, while the role of knowledge capital is largely to reduce the marginal production costs of fuel-efficient cars. A counterfactual predicts that an additional 1/gallon gasoline tax in 2006 would have increased the technology adoption rate, and raised average fuel efficiency by 0.47 miles/gallon, twice the annual fuel efficiency improvement in 2003-2006. An R&D subsidy that would reduce the marginal cost of knowledge capital by 25% in 2006 would have raised investment in knowledge capital. This subsidy would have raised fuel efficiency only by 0.06 miles/gallon in 2006, but would have increased variable profits by 2.3 billion over all firms that year. Passenger vehicle fuel economy standards in the United States will require substantial improvements in new vehicle fuel economy over the next decade. Economic theory suggests that vehicle manufacturers adopt greater fuel-saving technologies for vehicles with larger market size. Chapter 2 documents a strong connection between market size, measured by sales, and technology adoption. Using variation consumer demographics and purchasing pattern to account for the endogeneity of market size, we find that a 10 percent increase in market size raises vehicle fuel efficiency by 0.3 percent, as compared to a mean improvement of 1.4 percent per year over 1997-2013. Historically, fuel price and demographic-driven market size changes have had large effects on technology adoption. Furthermore, fuel taxes would induce firms to adopt fuel-saving technologies on their most efficient cars, thereby polarizing the fuel efficiency distribution of the new vehicle fleet.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, Bingye; Sintov, Nicole

To achieve energy savings, emerging energy management technologies and programs require customer adoption. Although a variety of models can be used to explain the adoption of energy management technologies and programs, they overlook the seemingly unconventional element of level of affiliation with nature. In fact, connectedness to nature has been identified as an important driver of many pro-environmental behaviors, but its role in pro-environmental technology adoption is also not well understood. Can affiliation with nature help to bridge the apparent gap—and complex chain of events—between sustainable technology adoption and protecting natural resources? Based on survey data from 856 southern Californiamore » residents, this study investigated the influence of connectedness to nature and other factors on intentions to adopt five energy management technologies and programs: using three platforms to monitor home energy use (website, mobile phone application, in-home display); signing up for a time-of-use pricing plan; and participating in demand response events. Regression results showed that nature connectedness was the strongest predictor of all outcomes such that higher nature connectedness predicted greater likelihood of technology and program adoption. In conclusion, these findings suggest that connectedness to nature may facilitate “bridging the logic gap” between sustainable innovation adoption and environmental protection.« less

Handheld technology acceptance in radiologic science education and training programs

NASA Astrophysics Data System (ADS)

Powers, Kevin Jay

The purpose of this study was to explore the behavioral intention of directors of educational programs in the radiologic sciences to adopt handheld devices to aid in managing student clinical data. Handheld devices were described to participants as a technology representing a class of mobile electronic devices including, but not limited to, personal digital assistants such as a Palm TX, Apple iPod Touch, Apple iPad or Hewlett Packard iPaq, and cellular or smartphones with third generation mobile capabilities such as an Apple iPhone, Blackberry or Android device. The study employed a non-experimental, cross-sectional survey design to determine the potential of adopting handheld technologies based on the constructs of Davis's (1989) Technology Acceptance Model. An online self-report questionnaire survey instrument was used to gather study data from 551 entry level radiologic science programs specializing in radiography, radiation therapy, nuclear medicine and medical sonography. The study design resulted in a single point in time assessment of the relationship between the primary constructs of the Technology Acceptance Model: perceived usefulness and perceived ease of use, and the behavioral intention of radiography program directors to adopt the information technology represented by hand held devices. Study results provide justification for investing resources to promote the adoption of mobile handheld devices in radiologic science programs and study findings serve as a foundation for further research involving technology adoption in the radiologic sciences.

More than just a question of technology: factors related to hospitals' adoption and implementation of health information exchange.

PubMed

Vest, Joshua R

2010-12-01

The provisions of the American Recovery & Reinvestment Act increased the likelihood of more widespread health information exchange (HIE), the electronic transfer of patient-level information between organizations, by essentially mandating the use of electronic health record systems. While important, the sparse body of research on HIE efforts and anecdotal reports indicate the barriers to HIE adoption and implementation include factors beyond simply the presence or absence of a specific technology. This paper examines those technological, organizational, and environmental factors that are associated with both HIE adoption and implementation in a sample of 4830 U.S. hospitals. Factors associated with adoption and implementation were modeled using random-intercept logistic regression. Consistent with a perspective that adoption and implementation are different phenomena, many factors associated with an increased odds of adoption, were unassociated with implementation and vice versa. Non-profit status, public hospitals, more live and operation applications, more emergency room visits, network membership, and the presence of physician portals all increased hospitals' odds of HIE adoption. However, only network membership increased the odds of HIE implementation, whereas competition decreased those odds significantly. This study agreed with earlier case-studies and anecdotal reports that factors beyond technology were important to both adoption and implementation. While current U.S. policy on healthcare information technology adoption focuses on technological barriers, many other non-technological factors may ultimately hinder effective HIE. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article.

PubMed

Garavand, A; Samadbeik, M; Kafashi, M; Abhari, Sh

2017-12-01

Mobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system. This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015. Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health. Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.

An analysis of the adoption of managerial innovation: cost accounting systems in hospitals.

PubMed

Glandon, G L; Counte, M A

1995-11-01

The adoption of new medical technologies has received significant attention in the hospital industry, in part, because of its observed relation to hospital cost increases. However, few comprehensive studies exist regarding the adoption of non-medical technologies in the hospital setting. This paper develops and tests a model of the adoption of a managerial innovation, new to the hospital industry, that of cost accounting systems based upon standard costs. The conceptual model hypothesizes that four organizational context factors (size, complexity, ownership and slack resources) and two environmental factors (payor mix and interorganizational dependency) influence hospital adoption of cost accounting systems. Based on responses to a mail survey of hospitals in the Chicago area and AHA annual survey information for 1986, a sample of 92 hospitals was analyzed. Greater hospital size, complexity, slack resources, and interorganizational dependency all were associated with adoption. Payor mix had no significant influence and the hospital ownership variables had a mixed influence. The logistic regression model was significant overall and explained over 15% of the variance in the adoption decision.

An Investigation of Micro-Enterprise Capability-Building via Access and Use of Technology

ERIC Educational Resources Information Center

Good, Travis Godwin

2011-01-01

Micro-enterprises (businesses with one to five employees) lie at the heart of the American economy but are not well-researched. It is believed that technology adoption has the potential to spark strong growth among micro-enterprises, but current technology adoption models are tailored for large businesses and do not consider the human, social, and…

A Framework for Seeking the Connections between Technology, Pedagogy, and Culture: A Study in the Maldives

ERIC Educational Resources Information Center

Adam, Aminath

2017-01-01

Educational technology researchers have often overlooked the effect of culture on teachers' use of digital technologies in their pedagogical practice. Several technology integration models, such as the Technology Adoption Model (TAM) and Technological, Pedagogical and Content Knowledge (TPACK), have also failed to explain the connections between…

Factors associated with adoption of health information technology: a conceptual model based on a systematic review.

PubMed

Kruse, Clemens Scott; DeShazo, Jonathan; Kim, Forest; Fulton, Lawrence

2014-05-23

The Health Information Technology for Economic and Clinical Health Act (HITECH) allocated $19.2 billion to incentivize adoption of the electronic health record (EHR). Since 2009, Meaningful Use Criteria have dominated information technology (IT) strategy. Health care organizations have struggled to meet expectations and avoid penalties to reimbursements from the Center for Medicare and Medicaid Services (CMS). Organizational theories attempt to explain factors that influence organizational change, and many theories address changes in organizational strategy. However, due to the complexities of the health care industry, existing organizational theories fall short of demonstrating association with significant health care IT implementations. There is no organizational theory for health care that identifies, groups, and analyzes both internal and external factors of influence for large health care IT implementations like adoption of the EHR. The purpose of this systematic review is to identify a full-spectrum of both internal organizational and external environmental factors associated with the adoption of health information technology (HIT), specifically the EHR. The result is a conceptual model that is commensurate with the complexity of with the health care sector. We performed a systematic literature search in PubMed (restricted to English), EBSCO Host, and Google Scholar for both empirical studies and theory-based writing from 1993-2013 that demonstrated association between influential factors and three modes of HIT: EHR, electronic medical record (EMR), and computerized provider order entry (CPOE). We also looked at published books on organizational theories. We made notes and noted trends on adoption factors. These factors were grouped as adoption factors associated with various versions of EHR adoption. The resulting conceptual model summarizes the diversity of independent variables (IVs) and dependent variables (DVs) used in articles, editorials, books, as well as quantitative and qualitative studies (n=83). As of 2009, only 16.30% (815/4999) of nonfederal, acute-care hospitals had adopted a fully interoperable EHR. From the 83 articles reviewed in this study, 16/83 (19%) identified internal organizational factors and 9/83 (11%) identified external environmental factors associated with adoption of the EHR, EMR, or CPOE. The conceptual model for EHR adoption associates each variable with the work that identified it. Commonalities exist in the literature for internal organizational and external environmental factors associated with the adoption of the EHR and/or CPOE. The conceptual model for EHR adoption associates internal and external factors, specific to the health care industry, associated with adoption of the EHR. It becomes apparent that these factors have some level of association, but the association is not consistently calculated individually or in combination. To better understand effective adoption strategies, empirical studies should be performed from this conceptual model to quantify the positive or negative effect of each factor.

Modeling the Adoption Process of the Flight Training Synthetic Environment Technology (FTSET) in the Turkish Army Aviation (TUAA)

DTIC Science & Technology

2006-12-01

meet expectations. Moreover, instead of establishing cost-effective training, resources would be consumed inefficiently. Marketing and advertising are...earlier the involvement of an end user, the better a product’s design and the faster its technology adoption. Marketing and advertising techniques

Evolutionary technology adoption in an oligopoly market with forward-looking firms

NASA Astrophysics Data System (ADS)

Lamantia, F.; Radi, D.

2018-05-01

In this paper, we propose an evolutionary oligopoly game of technology adoption in a market with isoelastic demand and two possible (linear) production technologies. While one technology is characterized by lower marginal costs, the magnitude of fixed costs entails that a technology does not necessarily dominate the other. Firms are forward-looking as they assess the profitability of employing either technology according to the corresponding expected profits. The dynamics of the system is studied through a piecewise-smooth map, for which we present a local stability analysis of equilibria and show the occurrence of smooth and border collision bifurcations. Global analysis of the model is also presented to show the coexistence of attractors and its economic significance. This investigation reveals that firms can fail to learn to adopt the more efficient technology.

Evolutionary technology adoption in an oligopoly market with forward-looking firms.

PubMed

Lamantia, F; Radi, D

2018-05-01

In this paper, we propose an evolutionary oligopoly game of technology adoption in a market with isoelastic demand and two possible (linear) production technologies. While one technology is characterized by lower marginal costs, the magnitude of fixed costs entails that a technology does not necessarily dominate the other. Firms are forward-looking as they assess the profitability of employing either technology according to the corresponding expected profits. The dynamics of the system is studied through a piecewise-smooth map, for which we present a local stability analysis of equilibria and show the occurrence of smooth and border collision bifurcations. Global analysis of the model is also presented to show the coexistence of attractors and its economic significance. This investigation reveals that firms can fail to learn to adopt the more efficient technology.

Factors Affecting ICT Adoption among Distance Education Students Based on the Technology Acceptance Model--A Case Study at a Distance Education University in Iran

ERIC Educational Resources Information Center

Dastjerdi, Negin Barat

2016-01-01

The incorporation of Information and Communication Technologies (ICT) into education systems is an active program and movement in education that illustrates modern education and enables an all-encompassing presence in the third millennium; however, prior to applying ICT, the factors affecting the adoption and use of these technologies should be…

Examining Engineering & Technology Students' Acceptance of Network Virtualization Technology Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Yousif, Wael K.

2010-01-01

This causal and correlational study was designed to extend the Technology Acceptance Model (TAM) and to test its applicability to Valencia Community College (VCC) Engineering and Technology students as the target user group when investigating the factors influencing their decision to adopt and to utilize VMware as the target technology. In…

Can Economics Provide Insights into Trust Infrastructure?

NASA Astrophysics Data System (ADS)

Vishik, Claire

Many security technologies require infrastructure for authentication, verification, and other processes. In many cases, viable and innovative security technologies are never adopted on a large scale because the necessary infrastructure is slow to emerge. Analyses of such technologies typically focus on their technical flaws, and research emphasizes innovative approaches to stronger implementation of the core features. However, an observation can be made that in many cases the success of adoption pattern depends on non-technical issues rather than technology-lack of economic incentives, difficulties in finding initial investment, inadequate government support. While a growing body of research is dedicated to economics of security and privacy in general, few theoretical studies in this area have been completed, and even fewer that look at the economics of “trust infrastructure” beyond simple “cost of ownership” models. This exploratory paper takes a look at some approaches in theoretical economics to determine if they can provide useful insights into security infrastructure technologies and architectures that have the best chance to be adopted. We attempt to discover if models used in theoretical economics can help inform technology developers of the optimal business models that offer a better chance for quick infrastructure deployment.

Electronic health records: postadoption physician satisfaction and continued use.

PubMed

Wright, Edward; Marvel, Jon

2012-01-01

One goal of public-policy makers in general and health care managers in particular is the adoption and efficient utilization of electronic health record (EHR) systems throughout the health care industry. Consequently, this investigation focused on the effects of known antecedents of technology adoption on physician satisfaction with EHR technology and the continued use of such systems. The American Academy of Family Physicians provided support in the survey of 453 physicians regarding their satisfaction with their EHR use experience. A conceptual model merging technology adoption and computer user satisfaction models was tested using structural equation modeling. Results indicate that effort expectancy (ease of use) has the most substantive effect on physician satisfaction and the continued use of EHR systems. As such, health care managers should be especially sensitive to the user and computer interface of prospective EHR systems to avoid costly and disruptive system selection mistakes.

Factors Impacting Teachers' Adoption of Mobile Learning

ERIC Educational Resources Information Center

Mac Callum, Kathryn; Jeffrey, Lynn; Kinshuk

2014-01-01

As mobile technology has advanced, awareness is growing that these technologies may benefit teaching and learning. However, despite this interest, the factors that will determine the acceptance of mobile technology by lecturers have been limited. This study proposed and tested a new model that extends the technology acceptance model (TAM) with…

A Quantitative Investigation of Cloud Computing Adoption in Nigeria: Testing an Enhanced Technology Acceptance Model

ERIC Educational Resources Information Center

Ishola, Bashiru Abayomi

2017-01-01

Cloud computing has recently emerged as a potential alternative to the traditional on-premise computing that businesses can leverage to achieve operational efficiencies. Consequently, technology managers are often tasked with the responsibilities to analyze the barriers and variables critical to organizational cloud adoption decisions. This…

An Integrated Model for the Adoption of Information Technologies in U.S. Colleges and Universities

ERIC Educational Resources Information Center

Garcia Molina, Pablo

2013-01-01

This thesis fulfills the requirements of a Doctor of Liberal Studies degree at Georgetown University. It advances our knowledge of the rationale and mechanisms surrounding the spread, adoption and abandonment of information and communication technologies in tertiary education institutions in the United States. This interdisciplinary thesis…

Acceptance Factors Influencing Adoption of National Institute of Standards and Technology Information Security Standards: A Quantitative Study

ERIC Educational Resources Information Center

Kiriakou, Charles M.

2012-01-01

Adoption of a comprehensive information security governance model and security controls is the best option organizations may have to protect their information assets and comply with regulatory requirements. Understanding acceptance factors of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) comprehensive…

Cost-effectiveness on a local level: whether and when to adopt a new technology.

PubMed

Woertman, Willem H; Van De Wetering, Gijs; Adang, Eddy M M

2014-04-01

Cost-effectiveness analysis has become a widely accepted tool for decision making in health care. The standard textbook cost-effectiveness analysis focuses on whether to make the switch from an old or common practice technology to an innovative technology, and in doing so, it takes a global perspective. In this article, we are interested in a local perspective, and we look at the questions of whether and when the switch from old to new should be made. A new approach to cost-effectiveness from a local (e.g., a hospital) perspective, by means of a mathematical model for cost-effectiveness that explicitly incorporates time, is proposed. A decision rule is derived for establishing whether a new technology should be adopted, as well as a general rule for establishing when it pays to postpone adoption by 1 more period, and a set of decision rules that can be used to determine the optimal timing of adoption. Finally, a simple example is presented to illustrate our model and how it leads to optimal decision making in a number of cases.

Evaluating the impact of virtualization characteristics on SaaS adoption

NASA Astrophysics Data System (ADS)

Tomás, Sara; Thomas, Manoj; Oliveira, Tiago

2018-03-01

Software as a service (SaaS) is a service model in which the applications are accessible from various client devices through internet. Several studies report possible factors driving the adoption of SaaS but none have considered the perception of the SaaS features and the organization's context. We propose an integrated research model that combines the process virtualization theory (PVT), the technology-organization-environment (TOE) framework and the institutional theory (INT). PVT seeks to explain whether processes are suitable for migration into virtual environments via an information technology-based mechanism as SaaS. The TOE framework seeks to explain the effects of the intra-organizational factors, while INT seeks to explain the effects of the inter-organizational factors on the technology adoption. This research addresses a gap in the SaaS adoption literature by studying the internal perception of the technical features of SaaS and technology, organization, and environment perspectives. Additionally, the integration of PVT, the TOE framework, and INT contributes to the information system (IS) discipline, deepening the applicability and strengths of these theories.

Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article

PubMed Central

Garavand, A.; Samadbeik, M.; Kafashi, M.; Abhari, Sh.

2017-01-01

Background: Mobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system. Methods: This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015. Results: Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health. Conclusion: Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems. PMID:29445717

Adoption of health information technologies by physicians for clinical practice: The Andalusian case.

PubMed

Villalba-Mora, Elena; Casas, Isabel; Lupiañez-Villanueva, Francisco; Maghiros, Ioannis

2015-07-01

We investigated the level of adoption of Health Information Technologies (HIT) services, and the factors that influence this, amongst specialised and primary care physicians; in Andalusia, Spain. We analysed the physicians' responses to an online survey. First, we performed a statistical descriptive analysis of the data; thereafter, a principal component analysis; and finally an order logit model to explain the effect of the use in the adoption and to analyse which are the existing barriers. The principal component analysis revealed three main uses of Health Information Technologies: Electronic Health Records (EHR), ePrescription and patient management and telemedicine services. Results from an ordered logit model showed that the frequency of use of HIT is associated with the physicians' perceived usefulness. Lack of financing appeared as a common barrier to the adoption of the three types of services. For ePrescription and patient management, the physician's lack of skills is still a barrier. In the case of telemedicine services, lack of security and lack of interest amongst professionals are the existing barriers. EHR functionalities are fully adopted, in terms of perceived usefulness. EPrescription and patient management are almost fully adopted, while telemedicine is in an early stage of adoption. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Why, when, and how fast innovations are adopted

NASA Astrophysics Data System (ADS)

Gonçalves, S.; Laguna, M. F.; Iglesias, J. R.

2012-06-01

When the full stock of a new product is quickly sold in a few days or weeks, one has the impression that new technologies develop and conquer the market in a very easy way. This may be true for some new technologies, for example the cell phone, but not for others, like the blue-ray. Novelty, usefulness, advertising, price, and fashion are the driving forces behind the adoption of a new product. But, what are the key factors that lead to adopt a new technology? In this paper we propose and investigate a simple model for the adoption of an innovation which depends mainly on three elements: the appeal of the novelty, the inertia or resistance to adopt it, and the interaction with other agents. Social interactions are taken into account in two ways: by imitation and by differentiation, i.e., some agents will be inclined to adopt an innovation if many people do the same, but other will act in the opposite direction, trying to differentiate from the "herd". We determine the conditions for a successful implantation of the new technology, by considering the strength of advertising and the effect of social interactions. We find a balance between the advertising and the number of anti-herding agents that may block the adoption of a new product. We also compare the effect of social interactions, when agents take into account the behavior of the whole society or just a part of it. In a nutshell, the present model reproduces qualitatively the available data on adoption of innovation.

Antecedents to the adoption of ASPS in healthcare.

PubMed

Randeree, Ebrahim; Judd, Susan P; Kishore, Rajiv; Rao, H Raghav

2003-01-01

The objective of this exploratory study was to identify drivers of adoption for a new form of information technology outsourcing--the ASP model--in the healthcare industry. Primary data were collected in January 2002 from a nationwide survey of senior-level healthcare information technology executives. Cost management (supplier presence, asset specificity, production costs, transaction costs, resource availability) and relative advantage (reliability, customizability, strategic alignment, and magnitude of potential loss) were found to have the largest influences on adoption behavior.

A theoretical model to explain the smart technology adoption behaviors of elder consumers (Elderadopt).

PubMed

Golant, Stephen M

2017-08-01

A growing global population of older adults is potential consumers of a category of products referred to as smart technologies, but also known as telehealth, telecare, information and communication technologies, robotics, and gerontechnology. This paper constructs a theoretical model to explain whether older people will adopt smart technology options to cope with their discrepant individual or environmental circumstances, thereby enabling them to age in place. Its proposed constructs and relationships are drawn from multiple academic disciplines and professional specialties, and an extensive literature focused on the factors influencing the acceptance of these smart technologies. It specifically examines whether older adults will substitute these new technologies for traditional coping solutions that rely on informal and formal care assistance and low technology related products. The model argues that older people will more positively evaluate smart technology alternatives when they feel more stressed because of their unmet needs, have greater resilience (stronger perceptions of self-efficacy and greater openness to new information), and are more strongly persuaded by their sources of outside messaging (external information) and their past experiences (internal information). It proposes that older people distinguish three attributes of these coping options when they appraise them: perceived efficaciousness, perceived usability, and perceived collateral damages. The more positively older people evaluate these attributes, the more likely that they will adopt these smart technology products. Copyright © 2017 Elsevier Inc. All rights reserved.

High-level managers' considerations for RFID adoption in hospitals: an empirical study in Taiwan.

PubMed

Lai, Hui-Min; Lin, I-Chun; Tseng, Ling-Tzu

2014-02-01

Prior researches have indicated that an appropriate adoption of information technology (IT) can help hospitals significantly improve services and operations. Radio Frequency Identification (RFID) is believed to be the next generation innovation technology for automatic data collection and asset/people tracking. Based on the Technology-Organization-Environment (TOE) framework, this study investigated high-level managers' considerations for RFID adoption in hospitals. This research reviewed literature related IT adoption in business and followed the results of a preliminary survey with 37 practical experts in hospitals to theorize a model for the RFID adoption in hospitals. Through a field survey of 102 hospitals and hypotheses testing, this research identified key factors influencing RFID adoption. Follow-up in-depth interviews with three high-level managers of IS department from three case hospitals respectively also presented an insight into the decision of RFID's adoption. Based on the research findings, cost, ubiquity, compatibility, security and privacy risk, top management support, hospital scale, financial readiness and government policy were concluded to be the key factors influencing RFID adoption in hospitals. For practitioners, this study provided a comprehensive overview of government policies able to promote the technology, while helping the RFID solution providers understand how to reduce the IT barriers in order to enhance hospitals' willingness to adopt RFID.

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

PubMed

Tavares, Jorge; Oliveira, Tiago

2016-03-02

The future of health care delivery is becoming more citizen centered, as today's user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. The aim of this study is to understand the factors that drive individuals to adopt EHR portals. We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals.

Pedagogical Beliefs and Attitudes toward Information and Communication Technology: A Survey of Teachers of English as a Foreign Language in China

ERIC Educational Resources Information Center

Liu, Haixia; Lin, Chin-Hsi; Zhang, Dongbo

2017-01-01

Though pedagogical beliefs have been identified as critical factors in the success of technology integration, very few studies have included them in technology-adoption models. The present study revises the Technology Acceptance Model (TAM) by adding teachers' pedagogical beliefs, and tests the revised model among university-level…

Distributed generation capabilities of the national energy modeling system

DOE Office of Scientific and Technical Information (OSTI.GOV)

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01

This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. Themore » goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.« less

Determinants affecting consumer adoption of contactless credit card: an empirical study.

PubMed

Wang, Yu-Min

2008-12-01

The contactless credit card is one of the most promising technological innovations in the field of electronic payments. It provides consumers with greater control of payments, convenience, and transaction speed. However, contactless credit cards have yet to gain significant rates of adoption in the marketplace. Thus, effort must be made to identify factors affecting consumer adoption of contactless credit cards. Based on the technology acceptance model, innovation diffusion theory, and the relevant literature, seven variables (perceived usefulness, perceived ease of use, compatibility, perceived risk, trust, consumer involvement, availability of infrastructure) are proposed to help predict consumer adoption of contactless credit cards. Data collected from 312 respondents in Taiwan is tested against the proposed prediction model using the logistic regression approach. The results and implications of our study contribute to an expanded understanding of the factors that affect consumer adoption of contactless credit cards.

Artificial pancreas (AP) clinical trial participants' acceptance of future AP technology.

PubMed

Bevier, Wendy C; Fuller, Serena M; Fuller, Ryan P; Rubin, Richard R; Dassau, Eyal; Doyle, Francis J; Jovanovič, Lois; Zisser, Howard C

2014-09-01

Artificial pancreas (AP) systems are currently an active field of diabetes research. This pilot study examined the attitudes of AP clinical trial participants toward future acceptance of the technology, having gained firsthand experience. After possible influencers of AP technology adoption were considered, a 34-question questionnaire was developed. The survey assessed current treatment satisfaction, dimensions of clinical trial participant motivation, and variables of the technology acceptance model (TAM). Forty-seven subjects were contacted to complete the survey. The reliability of the survey scales was tested using Cronbach's α. The relationship of the factors to the likelihood of AP technology adoption was explored using regression analysis. Thirty-six subjects (76.6%) completed the survey. Of the respondents, 86.1% were either highly likely or likely to adopt the technology once available. Reliability analysis of the survey dimensions revealed good internal consistency, with scores of >0.7 for current treatment satisfaction, convenience (motivation), personal health benefit (motivation), perceived ease of use (TAM), and perceived usefulness (TAM). Linear modeling showed that future acceptance of the AP was significantly associated with TAM and the motivation variables of convenience plus the individual item benefit to others (R(2)=0.26, P=0.05). When insulin pump and continuous glucose monitor use were added, the model significance improved (R(2)=0.37, P=0.02). This pilot study demonstrated that individuals with direct AP technology experience expressed high likelihood of future acceptance. Results support the factors of personal benefit, convenience, perceived usefulness, and perceived ease of use as reliable scales that suggest system adoption in this highly motivated patient population.

Can Coolness Predict Technology Adoption? Effects of Perceived Coolness on User Acceptance of Smartphones with Curved Screens.

PubMed

Kim, Ki Joon; Shin, Dong-Hee; Park, Eunil

2015-09-01

This study proposes an acceptance model for curved-screen smartphones, and explores how the sense of coolness induced by attractiveness, originality, subcultural appeal, and the utility of the curved screen promotes smartphone adoption. The results of structural equation modeling analyses (N = 246) show that these components of coolness (except utility) increase the acceptance of the technology by enhancing the smartphones' affectively driven qualities rather than their utilitarian ones. The proposed coolness model is then compared with the original technology acceptance model to validate that the coolness factors are indeed equally effective determinants of usage intention, as are the extensively studied usability factors such as perceived ease of use and usefulness.

The Utility of the UTAUT Model in Explaining Mobile Learning Adoption in Higher Education in Guyana

ERIC Educational Resources Information Center

Thomas, Troy Devon; Singh, Lenandlar; Gaffar, Kemuel

2013-01-01

In this paper, we compare the utility of modified versions of the unified theory of acceptance and use of technology (UTAUT) model in explaining mobile learning adoption in higher education in a developing country and evaluate the size and direction of the impacts of the UTAUT factors on behavioural intention to adopt mobile learning in higher…

Participatory Evaluation of Monitoring and Modeling of Sustainable Land Management Technologies in Areas Prone to Land Degradation

NASA Astrophysics Data System (ADS)

Stringer, L. C.; Fleskens, L.; Reed, M. S.; de Vente, J.; Zengin, M.

2014-11-01

Examples of sustainable land management (SLM) exist throughout the world. In many cases, SLM has largely evolved through local traditional practices and incremental experimentation rather than being adopted on the basis of scientific evidence. This means that SLM technologies are often only adopted across small areas. The DESIRE (DESertIfication mitigation and REmediation of degraded land) project combined local traditional knowledge on SLM with empirical evaluation of SLM technologies. The purpose of this was to evaluate and select options for dissemination in 16 sites across 12 countries. It involved (i) an initial workshop to evaluate stakeholder priorities (reported elsewhere), (ii) field trials/empirical modeling, and then, (iii) further stakeholder evaluation workshops. This paper focuses on workshops in which stakeholders evaluated the performance of SLM technologies based on the scientific monitoring and modeling results from 15 study sites. It analyses workshop outcomes to evaluate how scientific results affected stakeholders' perceptions of local SLM technologies. It also assessed the potential of this participatory approach in facilitating wider acceptance and implementation of SLM. In several sites, stakeholder preferences for SLM technologies changed as a consequence of empirical measurements and modeling assessments of each technology. Two workshop examples are presented in depth to: (a) explore the scientific results that triggered stakeholders to change their views; and (b) discuss stakeholders' suggestions on how the adoption of SLM technologies could be up-scaled. The overall multi-stakeholder participatory approach taken is then evaluated. It is concluded that to facilitate broad-scale adoption of SLM technologies, de-contextualized, scientific generalisations must be given local context; scientific findings must be viewed alongside traditional beliefs and both scrutinized with equal rigor; and the knowledge of all kinds of experts must be recognised and considered in decision-making about SLM, whether it has been formally codified or not. The approach presented in this paper provided this opportunity and received positive feedback from stakeholders.

Landowner interest in multifunctional agroforestry riparian buffers.

Treesearch

Katie Trozzo; John Munsell; James Chamberlain

2014-01-01

Adoption of temperate agroforestry practices generally remains limited despite considerable advances in basic science. This study builds on temperate agroforestry adoption research by empirically testing a statistical model of interest in native fruit and nut tree riparian buffers using technology and agroforestry adoption theory. Data...

Inquiry of Pre-Service Teachers' Concern about Integrating Web 2.0 into Instruction

ERIC Educational Resources Information Center

Hao, Yungwei; Lee, Kathryn S.

2017-01-01

To promote technology integration, it is essential to address pre-service teacher (PST) concerns about facilitating technology-enhanced learning environments. This study adopted the Concerns-Based Adoption Model to investigate PST concern on Web 2.0 integration. Four hundred and eighty-nine PSTs in a teacher education university in north Taiwan…

Problem severity, technology adoption, and intent to seek online counseling among overseas Filipino workers.

PubMed

Hechanova, Ma Regina M; Tuliao, Antover P; Teh, Lota A; Alianan, Arsenio S; Acosta, Avegale

2013-08-01

This study examined the factors that influence the intent to seek online counseling among overseas Filipino workers (OFWs). A survey among 365 OFWs revealed that problem severity and technology adoption predict intent to use online counseling. Among the three factors of technology adoption, perceived ease in the use of technology and perceived presence of organization and technological infrastructure to support use predicted intent to use online counseling. Our hypothesis about the presence of interaction between problem severity and facilitating conditions was supported. Among individuals with low problem severity, those who perceive the presence of organization and technological infrastructure to support use have a higher intent to use online counseling. However, at higher levels of problem severity, the effect of facilitating conditions seems to disappear. These findings highlight the crucial role of preventive online mental health services. The study contributes to theory by integrating the stage model of help-seeking behaviors and technology adoption theory in predicting intent to use online counseling. Specifically, that intent to seek online counseling is affected by the existence and perceived gravity of a problem, moderated by technology adoption factors, particularly facilitating conditions. These have implications on the need to educate potential users on the advantages of counseling and ensure that migrant workers have access to technology and that the technology is easy to use.

A study of factors affecting the adoption of server virtualization technology

NASA Astrophysics Data System (ADS)

Lu, Hsin-Ke; Lin, Peng-Chun; Chiang, Chang-Heng; Cho, Chien-An

2018-04-01

It has become a trend that worldwide enterprises and organizations apply new technologies to improve their operations; besides, it has higher cost and less flexibility to construct and manage traditional servers, therefore the current mainstream is to use server virtualization technology. However, from these new technology organizations will not necessarily get the expected benefits because each one has its own level of organizational complexity and abilities to accept changes. The researcher investigated key factors affecting the adoption of virtualization technology through two phases. In phase I, the researcher reviewed literature and then applied the dimensions of "Information Systems Success Model" (ISSM) to generalize the factors affecting the adoption of virtualization technology to be the preliminary theoretical framework and develop a questionnaire; in phase II, a three-round Delphi Method was used to integrate the opinions of experts from related fields which were then gradually converged in order to obtain a stable and objective questionnaire of key factors so that these results were expected to provide references for organizations' adoption of server virtualization technology and future studies.

Is managed care restraining the adoption of technology by hospitals?

PubMed

Mas, Núria; Seinfeld, Janice

2008-07-01

As health care costs increase, cost-control mechanisms become more widespread and it is crucial to understand their implications for the health care market. This paper examines the effect that managed care activity (based on the aim to control health care expenditure) has on the adoption of technologies by hospitals. We use a hazard rate model to investigate whether higher levels of managed care market share are associated with a decrease on medical technology adoption during the period 1982-1995. We analyze annual data on 5390 US hospitals regarding the adoption of 13 different technologies. Our results are threefold: first, we find that managed care has a negative effect on hospitals' technology acquisition for each of the 13 medical technologies in our study, and its effect is stronger for those technologies diffusing in the 1990s, when the managed care sector is at its largest. If managed care enrollment had remained at its 1984 level, there would be 5.3%, 7.3% and 4.1% more hospitals with diagnostic radiology, radiation therapy and cardiac technologies, respectively. Second, we find that the rise in managed care leads to long-term reductions in medical cost growth. Finally, we take into account that profitability analysis is one of the main dimensions considered by hospitals when deciding about the adoption of new technologies. In order to determine whether managed care affects technologies differently if they have a different cost-reimbursement ratio (CRR), we have created a unique data set with information on the cost-reimbursement for each of the 13 technologies and we find that managed care enrollment has a considerably larger negative effect on the adoption of less profitable technologies.

Ergonomics Perspective in Agricultural Research: A User-Centred Approach Using CAD and Digital Human Modeling (DHM) Technologies

NASA Astrophysics Data System (ADS)

Patel, Thaneswer; Sanjog, J.; Karmakar, Sougata

2016-09-01

Computer-aided Design (CAD) and Digital Human Modeling (DHM) (specialized CAD software for virtual human representation) technologies endow unique opportunities to incorporate human factors pro-actively in design development. Challenges of enhancing agricultural productivity through improvement of agricultural tools/machineries and better human-machine compatibility can be ensured by adoption of these modern technologies. Objectives of present work are to provide the detailed scenario of CAD and DHM applications in agricultural sector; and finding out means for wide adoption of these technologies for design and development of cost-effective, user-friendly, efficient and safe agricultural tools/equipment and operator's workplace. Extensive literature review has been conducted for systematic segregation and representation of available information towards drawing inferences. Although applications of various CAD software have momentum in agricultural research particularly for design and manufacturing of agricultural equipment/machinery, use of DHM is still at its infancy in this sector. Current review discusses about reasons of less adoption of these technologies in agricultural sector and steps to be taken for their wide adoption. It also suggests possible future research directions to come up with better ergonomic design strategies for improvement of agricultural equipment/machines and workstations through application of CAD and DHM.

Impact of the HITECH Act on physicians' adoption of electronic health records.

PubMed

Mennemeyer, Stephen T; Menachemi, Nir; Rahurkar, Saurabh; Ford, Eric W

2016-03-01

The Health Information Technology for Economic and Clinical Health (HITECH) Act has distributed billions of dollars to physicians as incentives for adopting certified electronic health records (EHRs) through the meaningful use (MU) program ultimately aimed at improving healthcare outcomes. The authors examine the extent to which the MU program impacted the EHR adoption curve that existed prior to the Act. Bass and Gamma Shifted Gompertz (G/SG) diffusion models of the adoption of "Any" and "Basic" EHR systems in physicians' offices using consistent data series covering 2001-2013 and 2006-2013, respectively, are estimated to determine if adoption was stimulated during either a PrePay (2009-2010) period of subsidy anticipation or a PostPay (2011-2013) period when payments were actually made. Adoption of Any EHR system may have increased by as much as 7 percentage points above the level predicted in the absence of the MU subsidies. This estimate, however, lacks statistical significance and becomes smaller or negative under alternative model specifications. No substantial effects are found for Basic systems. The models suggest that adoption was largely driven by "imitation" effects (q-coefficient) as physicians mimic their peers' technology use or respond to mandates. Small and often insignificant "innovation" effects (p-coefficient) are found suggesting little enthusiasm by physicians who are leaders in technology adoption. The authors find weak evidence of the impact of the MU program on EHR uptake. This is consistent with reports that many current EHR systems reduce physician productivity, lack data sharing capabilities, and need to incorporate other key interoperability features (e.g., application program interfaces). © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Final Report: Towards an Emergent Model of Technology Adoption for Accelerating the Diffusion of Residential Solar PV

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rai, Varun

This project sought to enable electric utilities in Texas to accelerate diffusion of residential solar photovoltaic (PV) by systematically identifying and targeting existing barriers to PV adoption. A core goal of the project was to develop an integrated research framework that combines survey research, econometric modeling, financial modeling, and implementation and evaluation of pilot projects to study the PV diffusion system. This project considered PV diffusion as an emergent system, with attention to the interactions between the constituent parts of the PV socio-technical system including: economics of individual decision-making; peer and social influences; behavioral responses; and information and transaction costs.more » We also conducted two pilot projects, which have yielded new insights into behavioral and informational aspects of PV adoption. Finally, this project has produced robust and generalizable results that will provide deeper insights into the technology-diffusion process that will be applicable for the design of utility programs for other technologies such as home-energy management systems and plug-in electric vehicles. When we started this project in 2013 there was little systematic research on characterizing the decision-making process of households interested in adopting PV. This project was designed to fill that research gap by analyzing the PV adoption process from the consumers' decision-making perspective and with the objective to systematically identifying and addressing the barriers that consumers face in the adoption of PV. The two key components of that decision-making process are consumers' evaluation of: (i) uncertainties and non-monetary costs associated with the technology and (ii) the direct monetary cost-benefit. This project used an integrated approach to study both the non-monetary and the monetary components of the consumer decision-making process.« less

The Role of Experience and Innovation Characteristics in the Adoption and Continued Use of E-Learning Websites

ERIC Educational Resources Information Center

Liao, Hsiu-Li; Lu, Hsi-Peng

2008-01-01

With the advent of e-learning technologies in the past decade, the accessibility of training, teaching, and learning has drastically increased. The challenge for the education enterprise now is how to attract learners to their e-learning services. In this study, a technology adoption model is developed to predict the users' intention of adoption…

A Behavioural Approach to Understanding Semi-Subsistence Farmers' Technology Adoption Decisions: The Case of Improved Paddy-Prawn System in Indonesia

ERIC Educational Resources Information Center

Sambodo, Leonardo A. A. T.; Nuthall, Peter L.

2010-01-01

Purpose: This study traced the origins of subsistence Farmers' technology adoption attitudes and extracted the critical elements in their decision making systems. Design/Methodology/Approach: The analysis was structured using a model based on the Theory of Planned Behaviour (TPB). The role of a "bargaining process" was particularly…

Building Information Model: advantages, tools and adoption efficiency

NASA Astrophysics Data System (ADS)

Abakumov, R. G.; Naumov, A. E.

2018-03-01

The paper expands definition and essence of Building Information Modeling. It describes content and effects from application of Information Modeling at different stages of a real property item. Analysis of long-term and short-term advantages is given. The authors included an analytical review of Revit software package in comparison with Autodesk with respect to: features, advantages and disadvantages, cost and pay cutoff. A prognostic calculation is given for efficiency of adoption of the Building Information Modeling technology, with examples of its successful adoption in Russia and worldwide.

Impact of information technology reliance and innovativeness on rural healthcare services: study of dindigul district in Tamilnadu, India.

PubMed

Lakshmi, K Bhagya; Rajaram, M

2012-06-01

The aim of this report was to analyze the influence of information technology (IT) applications and innovativeness on the acceptance of rural healthcare services. The impact of IT application, domain-specific innovativeness, and technology acceptance model (TAM) variables on future health IT (HIT) utilization intention has been tested through structural equation modeling techniques. The sample consisted of 465 rural health personnel from the Dindigul District of Tamilnadu, India, who had never had access to IT. Data analysis showed that health workers' innovativeness and IT application have a direct and positive influence on future HIT utilization intention and that the basic TAM hypotheses are fulfilled. IT application can be increased with interfaces that are easier to use, but only if perceived usefulness remains high. Health personnel's innovativeness positively influences technology exposure and the ease of use perception of the IT medium, referred to throughout this article as the "health channel." This research enables health departments to know which aspects of their communication strategies to highlight in order to get health personnel and other service providers to adopt IT. Perceived ease of use and IT application has a significant influence on health personnel's willingness to adopt HIT. This shows that health information and adoption by health personnel are key tools in the increase of future HIT. It is also recommended that health directors target some of their health campaigns to the more innovative beneficiaries. There are still too few studies that have analyzed the effects of innovativeness and IT adoption on behavior of health personnel. This work aimed to combine the influence of IT adoption, innovativeness, and the traditional TAM in order to construct an improved model for HIT acceptance. It will require an integrated model to do so.

Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS).

PubMed

Clarke, Neville; Bizimana, Jean-Claude; Dile, Yihun; Worqlul, Abeyou; Osorio, Javier; Herbst, Brian; Richardson, James W; Srinivasan, Raghavan; Gerik, Thomas J; Williams, Jimmy; Jones, Charles A; Jeong, Jaehak

2017-01-31

This study investigates multi-dimensional impacts of adopting new technology in agriculture at the farm/village and watershed scale in sub-Saharan Africa using the Integrated Decision Support System (IDSS). Application of IDSS as an integrated modeling tool helps solve complex issues in agricultural systems by simultaneously assessing production, environmental, economic, and nutritional consequences of adopting agricultural technologies for sustainable increases in food production and use of scarce natural resources. The IDSS approach was applied to the Amhara region of Ethiopia, where the scarcity of resources and agro-environmental consequences are critical to agricultural productivity of small farm, to analyze the impacts of alternative agricultural technology interventions. Results show significant improvements in family income and nutrition, achieved through the adoption of irrigation technologies, proper use of fertilizer, and improved seed varieties while preserving environmental indicators in terms of soil erosion and sediment loadings. These pilot studies demonstrate the usefulness of the IDSS approach as a tool that can be used to predict and evaluate the economic and environmental consequences of adopting new agricultural technologies that aim to improve the livelihoods of subsistence farmers.

Software Engineering Technology Infusion Within NASA

NASA Technical Reports Server (NTRS)

Zelkowitz, Marvin V.

1996-01-01

Abstract technology transfer is of crucial concern to both government and industry today. In this paper, several software engineering technologies used within NASA are studied, and the mechanisms, schedules, and efforts at transferring these technologies are investigated. The goals of this study are: 1) to understand the difference between technology transfer (the adoption of a new method by large segments of an industry) as an industry-wide phenomenon and the adoption of a new technology by an individual organization (called technology infusion); and 2) to see if software engineering technology transfer differs from other engineering disciplines. While there is great interest today in developing technology transfer models for industry, it is the technology infusion process that actually causes changes in the current state of the practice.

Technology Adoption Applied to Educational Settings: Predicting Interventionists' Use of Video-Self Modeling

ERIC Educational Resources Information Center

Heckman, Andrew R.

2010-01-01

Technology provides educators with a significant advantage in working with today's students. One particular application of technology for the purposes of academic and behavioral interventions is the use of video self-modeling (VSM). Although VSM is an evidence-based intervention, it is rarely used in educational settings. The present research…

Cloud Computing Value Chains: Understanding Businesses and Value Creation in the Cloud

NASA Astrophysics Data System (ADS)

Mohammed, Ashraf Bany; Altmann, Jörn; Hwang, Junseok

Based on the promising developments in Cloud Computing technologies in recent years, commercial computing resource services (e.g. Amazon EC2) or software-as-a-service offerings (e.g. Salesforce. com) came into existence. However, the relatively weak business exploitation, participation, and adoption of other Cloud Computing services remain the main challenges. The vague value structures seem to be hindering business adoption and the creation of sustainable business models around its technology. Using an extensive analyze of existing Cloud business models, Cloud services, stakeholder relations, market configurations and value structures, this Chapter develops a reference model for value chains in the Cloud. Although this model is theoretically based on porter's value chain theory, the proposed Cloud value chain model is upgraded to fit the diversity of business service scenarios in the Cloud computing markets. Using this model, different service scenarios are explained. Our findings suggest new services, business opportunities, and policy practices for realizing more adoption and value creation paths in the Cloud.

Educators' Percpetions of the Substitution, Augmentation, Modification, Redefinition Model for Technology Integration

ERIC Educational Resources Information Center

Savignano, Mark Angelo

2017-01-01

The Substitution, Augmentation, Modification, Redefinition (SAMR) model has been introduced (Puentedura, 2006) claims that use of technology could predict student outcomes. School districts and educational institutions have been adopting this model in hopes to enhance the educational experience and outcomes for their students (SAMR Model, n.d.).…

Colorblind and Multicultural Ideologies Are Associated with Faculty Adoption of Inclusive Teaching Practices

ERIC Educational Resources Information Center

Aragón, Oriana R.; Dovidio, John F.; Graham, Mark J.

2017-01-01

Professional workshops aimed at increasing student diversity typically urge college-level science, technology, engineering, and math (STEM) educators to implement inclusive teaching practices. A model of the process by which educators adopt such practices, and the relationship between adoption and 2 ideologies of diversity is tested here. One…

Vehicle Technology Simulation and Analysis Tools | Transportation Research

Science.gov Websites

| NREL Vehicle Technology Simulation and Analysis Tools Vehicle Technology Simulation and vehicle technologies with the potential to achieve significant fuel savings and emission reductions. NREL : Automotive Deployment Options Projection Tool The ADOPT modeling tool estimates vehicle technology

Schools Going Mobile: A Study of the Adoption of Mobile Handheld Technologies in Western Australian Independent Schools

ERIC Educational Resources Information Center

Pegrum, Mark; Oakley, Grace; Faulkner, Robert

2013-01-01

This paper reports on the adoption of mobile handheld technologies in ten Western Australian independent schools, based on interviews with staff conducted in 2011. iPads were the most popular device, followed by iPod Touches and iPhones. Class sets were common at lower levels, with 1:1 models becoming increasingly common at higher levels. Mobile…

Organizational Learning and Large-Scale Change: Adoption of Electronic Medical Records

ERIC Educational Resources Information Center

Chavis, Virginia D.

2010-01-01

Despite implementation of electronic medical record (EMR) systems in the United States and other countries, there is no organizational development model that addresses medical professionals' attitudes toward technology adoption in a learning organization. The purpose of this study was to assess whether a model would change those attitudes toward…

Land ownership and technology adoption revisited: Improved maize varieties in Ethiopia.

PubMed

Zeng, Di; Alwang, Jeffrey; Norton, George; Jaleta, Moti; Shiferaw, Bekele; Yirga, Chilot

2018-03-01

The lack of land ownership can discourage agricultural technology adoption, yet there is scarce evidence of the impact of land rental contracts on the adoption of improved crop varieties in developing countries. The current study investigates such impact using a nationally representative survey of Ethiopian maize farmers. In contrast to many previous studies, we show in a simple model that cash-renters are as likely to adopt improved maize varieties as owner-operators, while sharecroppers are more likely to adopt given that such varieties are profitable. Empirical analysis reveals a significant impact of sharecropping on improved maize variety adoption, and no significant impact from cash-rental, lending support to the above hypotheses. These results imply that improvements in land rental markets can potentially enhance household welfare through crop variety adoption in agrarian economies where land sales markets are incomplete or missing.

Cultural hitchhiking on the wave of advance of beneficial technologies.

PubMed

Ackland, Graeme J; Signitzer, Markus; Stratford, Kevin; Cohen, Morrel H

2007-05-22

The wave-of-advance model was introduced to describe the spread of advantageous genes in a population. It can be adapted to model the uptake of any advantageous technology through a population, such as the arrival of neolithic farmers in Europe, the domestication of the horse, and the development of the wheel, iron tools, political organization, or advanced weaponry. Any trait that preexists alongside the advantageous one could be carried along with it, such as genetics or language, regardless of any intrinsic superiority. Decoupling of the advantageous trait from other "hitchhiking" traits depends on its adoption by the preexisting population. Here, we adopt a similar wave-of-advance model based on food production on a heterogeneous landscape with multiple populations. Two key results arise from geographic inhomogeneity: the "subsistence boundary," land so poor that the wave of advance is halted, and the temporary "diffusion boundary" where the wave cannot move into poorer areas until its gradient becomes sufficiently large. At diffusion boundaries, farming technology may pass to indigenous people already in those poorer lands, allowing their population to grow and resist encroachment by farmers. Ultimately, this adoption of technology leads to the halt in spread of the hitchhiking trait and establishment of a permanent "cultural boundary" between distinct cultures with equivalent technology.

Cultural hitchhiking on the wave of advance of beneficial technologies

PubMed Central

Ackland, Graeme J.; Signitzer, Markus; Stratford, Kevin; Cohen, Morrel H.

2007-01-01

The wave-of-advance model was introduced to describe the spread of advantageous genes in a population. It can be adapted to model the uptake of any advantageous technology through a population, such as the arrival of neolithic farmers in Europe, the domestication of the horse, and the development of the wheel, iron tools, political organization, or advanced weaponry. Any trait that preexists alongside the advantageous one could be carried along with it, such as genetics or language, regardless of any intrinsic superiority. Decoupling of the advantageous trait from other “hitchhiking” traits depends on its adoption by the preexisting population. Here, we adopt a similar wave-of-advance model based on food production on a heterogeneous landscape with multiple populations. Two key results arise from geographic inhomogeneity: the “subsistence boundary,” land so poor that the wave of advance is halted, and the temporary “diffusion boundary” where the wave cannot move into poorer areas until its gradient becomes sufficiently large. At diffusion boundaries, farming technology may pass to indigenous people already in those poorer lands, allowing their population to grow and resist encroachment by farmers. Ultimately, this adoption of technology leads to the halt in spread of the hitchhiking trait and establishment of a permanent “cultural boundary” between distinct cultures with equivalent technology. PMID:17517663

Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.

PubMed

Hoque, Rakibul; Sorwar, Golam

2017-05-01

mHealth (mobile health) services are becoming an increasingly important form of information and communication technology (ICT) enabled delivery for healthcare, especially in low-resource environments such as developing countries like Bangladesh. Despite widespread adoption of mobile phones and the acknowledged potential of using them to improve healthcare services, the adoption and acceptance of this technology among the elderly is significantly low. However, little research has been done to draw any systematic study of the elderly's intention to adopt mHealth services. The aim of this study was to develop a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and then empirically test it for determining the key factors influencing elderly users' intention to adopt and use the mHealth services. A face-to-face structured questionnaire survey method was used to collect data from nearly 300 participants of age 60 years and above from the capital city of Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based upon Structural Equation Modeling (SEM). The study determined that performance expectancy, effort expectancy, social influence, technology anxiety, and resistance to change (p<0.05) had a significant impact on the users' behavioral intention to adopt mHealth services. The study, however, revealed no significant relation between the facilitating condition and the users' behavioral intention to use the mHealth services (p>0.05). This study confirms the applicability of UTAUT model in the context of mHealth services among the elderly in developing countries like Bangladesh. It provides valuable information for mHealth service providers and policy makers in understanding the adoption challenges and the issues and also provides practical guidance for the successful implementation of mHealth services. Additionally the empirical findings identify implications related to the design and development of mHealth services that influence potential users. Furthermore, due to a generic approach, the findings of this study could be easily modified to assist other developing countries in the planning and up-take of mHealth services. Copyright © 2017 Elsevier B.V. All rights reserved.

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

PubMed Central

2016-01-01

Background The future of health care delivery is becoming more citizen centered, as today’s user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. Objective The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. Results The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Conclusions Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals. PMID:26935646

Diffusion of environmentally-friendly energy technologies: buy versus lease differences in residential PV markets

NASA Astrophysics Data System (ADS)

Rai, Varun; Sigrin, Benjamin

2013-03-01

Diffusion of microgeneration technologies, particularly rooftop photovoltaic (PV), represents a key option in reducing emissions in the residential sector. We use a uniquely rich dataset from the burgeoning residential PV market in Texas to study the nature of the consumer’s decision-making process in the adoption of these technologies. In particular, focusing on the financial metrics and the information decision-makers use to base their decisions upon, we study how the leasing and buying models affect individual choices and, thereby, the adoption of capital-intensive energy technologies. Overall, our findings suggest that the leasing model more effectively addresses consumers’ informational requirements and that, contrary to some other studies, buyers and lessees of PV do not necessarily differ significantly along socio-demographic variables. Instead, we find that the leasing model has opened up the residential PV market to a new, and potentially very large, consumer segment—those with a tight cash-flow situation.

Factors influencing the adoption of E-learning in Tabriz University of Medical Sciences.

PubMed

Abdekhoda, Mohammadhiwa; Dehnad, Afsaneh; Ghazi Mirsaeed, Sayd Javad; Zarea Gavgani, Vahideh

2016-01-01

Background: Electronic Learning (E-learning), is the use of electronic technology in education via computer and the internet. Despite its slow adoption by faculty members, e-learning provides several benefits to individuals and organizations. This study was conducted to determine the factors influencing the adoption of e-learning by faculty members in Tabriz University of Medical Sciences. Methods: This was a cross- sectional study, in which a sample of 190 faculty members of Tabriz University of Medical Sciences was randomly selected, using stratified sampling. A Conceptual Path Model of Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to assess the faculty members' attitude towards e-learning. The collected data were analyzed by SPSS16, using descriptive statistics and regression analysis. The model was tested by structural equation modeling (SEM) and was finally represented by Analysis of Moment Structures. Results: The results evidenced that UTAUT model explains about 56% of the variance for adoption of elearning. The findings also revealed that performance expectancy, effort expectancy, social influences and behavior indentation had direct and significant effects on faculty members' behavior towards the use of e-learning. However, facilitated condition had no significant effects on the use of e-learning. Conclusion: The authorized model provides considerable insight for perception and anticipation of faculty members' behaviors in adopting e-learning. The survey clearly identified significant and non-significant factors that may affect the adoption of e-learning. The results of this study could help the policy makers when successful adoption of e-learning is in their agenda.

A strategic gaming model for health information exchange markets.

PubMed

Martinez, Diego A; Feijoo, Felipe; Zayas-Castro, Jose L; Levin, Scott; Das, Tapas K

2018-03-01

Current market conditions create incentives for some providers to exercise control over patient data in ways that unreasonably limit its availability and use. Here we develop a game theoretic model for estimating the willingness of healthcare organizations to join a health information exchange (HIE) network and demonstrate its use in HIE policy design. We formulated the model as a bi-level integer program. A quasi-Newton method is proposed to obtain a strategy Nash equilibrium. We applied our modeling and solution technique to 1,093,177 encounters for exchanging information over a 7.5-year period in 9 hospitals located within a three-county region in Florida. Under a set of assumptions, we found that a proposed federal penalty of up to $2,000,000 has a higher impact on increasing HIE adoption than current federal monetary incentives. Medium-sized hospitals were more reticent to adopt HIE than large-sized hospitals. In the presence of collusion among multiple hospitals to not adopt HIE, neither federal incentives nor proposed penalties increase hospitals' willingness to adopt. Hospitals' apathy toward HIE adoption may threaten the value of inter-connectivity even with federal incentives in place. Competition among hospitals, coupled with volume-based payment systems, creates no incentives for smaller hospitals to exchange data with competitors. Medium-sized hospitals need targeted actions (e.g., outside technological assistance, group purchasing arrangements) to mitigate market incentives to not adopt HIE. Strategic game theoretic models help to clarify HIE adoption decisions under market conditions at play in an extremely complex technology environment.

Factors influencing the adoption of E-learning in Tabriz University of Medical Sciences

PubMed Central

Abdekhoda, Mohammadhiwa; Dehnad, Afsaneh; Ghazi Mirsaeed, Sayd Javad; Zarea Gavgani, Vahideh

2016-01-01

Background: Electronic Learning (E-learning), is the use of electronic technology in education via computer and the internet. Despite its slow adoption by faculty members, e-learning provides several benefits to individuals and organizations. This study was conducted to determine the factors influencing the adoption of e-learning by faculty members in Tabriz University of Medical Sciences. Methods: This was a cross- sectional study, in which a sample of 190 faculty members of Tabriz University of Medical Sciences was randomly selected, using stratified sampling. A Conceptual Path Model of Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to assess the faculty members’ attitude towards e-learning. The collected data were analyzed by SPSS16, using descriptive statistics and regression analysis. The model was tested by structural equation modeling (SEM) and was finally represented by Analysis of Moment Structures. Results: The results evidenced that UTAUT model explains about 56% of the variance for adoption of elearning. The findings also revealed that performance expectancy, effort expectancy, social influences and behavior indentation had direct and significant effects on faculty members’ behavior towards the use of e-learning. However, facilitated condition had no significant effects on the use of e-learning. Conclusion: The authorized model provides considerable insight for perception and anticipation of faculty members’ behaviors in adopting e-learning. The survey clearly identified significant and non-significant factors that may affect the adoption of e-learning. The results of this study could help the policy makers when successful adoption of e-learning is in their agenda. PMID:28491832

Agent-based Modeling to Simulate the Diffusion of Water-Efficient Innovations and the Emergence of Urban Water Sustainability

NASA Astrophysics Data System (ADS)

Kanta, L.; Giacomoni, M.; Shafiee, M. E.; Berglund, E.

2014-12-01

The sustainability of water resources is threatened by urbanization, as increasing demands deplete water availability, and changes to the landscape alter runoff and the flow regime of receiving water bodies. Utility managers typically manage urban water resources through the use of centralized solutions, such as large reservoirs, which may be limited in their ability balance the needs of urbanization and ecological systems. Decentralized technologies, on the other hand, may improve the health of the water resources system and deliver urban water services. For example, low impact development technologies, such as rainwater harvesting, and water-efficient technologies, such as low-flow faucets and toilets, may be adopted by households to retain rainwater and reduce demands, offsetting the need for new centralized infrastructure. Decentralized technologies may create new complexities in infrastructure and water management, as decentralization depends on community behavior and participation beyond traditional water resources planning. Messages about water shortages and water quality from peers and the water utility managers can influence the adoption of new technologies. As a result, feedbacks between consumers and water resources emerge, creating a complex system. This research develops a framework to simulate the diffusion of water-efficient innovations and the sustainability of urban water resources, by coupling models of households in a community, hydrologic models of a water resources system, and a cellular automata model of land use change. Agent-based models are developed to simulate the land use and water demand decisions of individual households, and behavioral rules are encoded to simulate communication with other agents and adoption of decentralized technologies, using a model of the diffusion of innovation. The framework is applied for an illustrative case study to simulate water resources sustainability over a long-term planning horizon.

Understanding E-Learning Adoption in Brazil: Major Determinants and Gender Effects

ERIC Educational Resources Information Center

Okazaki, Shintaro; dos Santos, Luiz Miguel Renda

2012-01-01

The objective of this study is to examine factors influencing e-learning adoption and the moderating role of gender. This study extends the technology acceptance model (TAM) by adding attitude and social interaction. The new construct of social interaction is applied to the South American context. Gender effects on e-learning adoption from…

Simulating the Effects of Widespread Adoption of Efficient Irrigation Technologies on Irrigation Water Use

NASA Astrophysics Data System (ADS)

Kendall, A. D.; Deines, J. M.; Hyndman, D. W.

2017-12-01

Irrigation technologies are changing: becoming more efficient, better managed, and capable of more precise targeting. Widespread adoption of these technologies is shifting water balances and significantly altering the hydrologic cycle in some of the largest irrigated regions in the world, such as the High Plains Aquifer of the USA. There, declining groundwater resources, increased competition from alternate uses, changing surface water supplies, and increased subsidies and incentives are pushing farmers to adopt these new technologies. Their decisions about adoption, irrigation extent, and total water use are largely unrecorded, limiting critical data for what is the single largest consumptive water use globally. Here, we present a novel data fusion of an annual water use and technology database in Kansas with our recent remotely-sensed Annual Irrigation Maps (AIM) dataset to produce a spatially and temporally complete record of these decisions. We then use this fusion to drive the Landscape Hydrologic Model (LHM), which simulates the full terrestrial water cycle at hourly timesteps for large regions. The irrigation module within LHM explicitly simulates each major irrigation technology, allowing for a comprehensive evaluation of changes in irrigation water use over time and space. Here we simulate 2000 - 2016, a period which includes a major increase in the use of modern efficient irrigation technology (such as Low Energy Precision Application, LEPA) as well as both drought and relative wet periods. Impacts on water use are presented through time and space, along with implications for adopting these technologies across the USA and globally.

The Conceptualization of the Mathematical Modelling Process in Technology-Aided Environment

ERIC Educational Resources Information Center

Hidiroglu, Çaglar Naci; Güzel, Esra Bukova

2017-01-01

The aim of the study is to conceptualize the technology-aided mathematical modelling process in the frame of cognitive modelling perspective. The grounded theory approach was adopted in the study. The research was conducted with seven groups consisting of nineteen prospective mathematics teachers. The data were collected from the video records of…

Effective information channels for reducing costs of environmentally- friendly technologies: evidence from residential PV markets

NASA Astrophysics Data System (ADS)

Rai, Varun; Robinson, Scott A.

2013-03-01

Realizing the environmental benefits of solar photovoltaics (PV) will require reducing costs associated with perception, informational gaps and technological uncertainties. To identify opportunities to decrease costs associated with residential PV adoption, in this letter we use multivariate regression models to analyze a unique, household-level dataset of PV adopters in Texas (USA) to systematically quantify the effect of different information channels on aspiring PV adopters’ decision-making. We find that the length of the decision period depends on the business model, such as whether the system was bought or leased, and on special opportunities to learn, such as the influence of other PV owners in the neighborhood. This influence accrues passively through merely witnessing PV systems in the neighborhood, increasing confidence and motivation, as well as actively through peer-to-peer communications. Using these insights we propose a new framework to provide public information on PV that could drastically reduce barriers to PV adoption, thereby accelerating its market penetration and environmental benefits. This framework could also serve as a model for other distributed generation technologies.

Characterisation of adopters and non-adopters of dairy technologies in Ethiopia and Kenya.

PubMed

Kebebe, E G; Oosting, S J; Baltenweck, I; Duncan, A J

2017-04-01

While there is a general consensus that using dairy technologies, such as improved breeds of dairy cows, can substantially increase farm productivity and income, adoption of such technologies has been generally low in developing countries. The underlying reasons for non-adoption of beneficial technologies in the dairy sector are not fully understood. In this study, we characterised adopters and non-adopters of dairy technologies in Ethiopia and Kenya based on farmers' resources ownership in order to identify why many farmers in Ethiopia and Kenya have not adopted improved dairy technologies. As compared to non-adopters, farmers who adopt dairy technology own relatively more farm resources. The result signals that differences in resource endowments could lead to divergent technology adoption scenarios. Results show that a higher proportion of sample smallholders in Kenya have adopted dairy technologies than those in Ethiopia. Except for the use of veterinary services, fewer than 10% of sample farmers in Ethiopia have adopted dairy technologies-less than half the number of adopters in Kenya. The higher level of dairy technology adoption in Kenya can be ascribed partly to the long history of dairy development, including improvements in the value chain for the delivery of inputs, services and fluid milk marketing. Interventions that deal with the constraints related to access to farm resources and input and output markets could facilitate uptake of dairy technology in developing countries.

Use of Technology in the Household: An Exploratory Study

ERIC Educational Resources Information Center

Jackson, Barcus C.

2010-01-01

Since the 1980s, personal computer ownership has become ubiquitous, and people are increasingly using household technologies for a wide variety of purposes. Extensive research has resulted in useful models to explain workplace technology acceptance and household technology adoption. Studies have also found that the determinants underlying…

The relationship between cost estimates reliability and BIM adoption: SEM analysis

NASA Astrophysics Data System (ADS)

Ismail, N. A. A.; Idris, N. H.; Ramli, H.; Rooshdi, R. R. Raja Muhammad; Sahamir, S. R.

2018-02-01

This paper presents the usage of Structural Equation Modelling (SEM) approach in analysing the effects of Building Information Modelling (BIM) technology adoption in improving the reliability of cost estimates. Based on the questionnaire survey results, SEM analysis using SPSS-AMOS application examined the relationships between BIM-improved information and cost estimates reliability factors, leading to BIM technology adoption. Six hypotheses were established prior to SEM analysis employing two types of SEM models, namely the Confirmatory Factor Analysis (CFA) model and full structural model. The SEM models were then validated through the assessment on their uni-dimensionality, validity, reliability, and fitness index, in line with the hypotheses tested. The final SEM model fit measures are: P-value=0.000, RMSEA=0.079<0.08, GFI=0.824, CFI=0.962>0.90, TLI=0.956>0.90, NFI=0.935>0.90 and ChiSq/df=2.259; indicating that the overall index values achieved the required level of model fitness. The model supports all the hypotheses evaluated, confirming that all relationship exists amongst the constructs are positive and significant. Ultimately, the analysis verified that most of the respondents foresee better understanding of project input information through BIM visualization, its reliable database and coordinated data, in developing more reliable cost estimates. They also perceive to accelerate their cost estimating task through BIM adoption.

An Examination of Interactive Whiteboard Perceptions using the Concerns-Based Adoption Model Stages of Concern and the Apple Classrooms of Tomorrow Model of Instructional Evolution

ERIC Educational Resources Information Center

Hall, Jeffrey; Chamblee, Gregory; Slough, Scott

2013-01-01

Two high school mathematics teachers who use Interactive Whiteboards (IWBs) in the classroom were interviewed annually over the course of three years regarding their perceptions of the technology. During the third year, the two teachers were asked to complete the Concerns-Based Adoption Model Stages of Concern Questionnaire. The data obtained from…

Update on Electronic Dental Record and Clinical Computing Adoption Among Dental Practices in the United States

PubMed Central

Schroeder, Dixie; Schwei, Kelsey; Chyou, Po-Huang

2017-01-01

This study sought to re-characterize trends and factors affecting electronic dental record (EDR) and technologies adoption by dental practices and the impact of the Health Information Technology for Economic and Clinical Health (HITECH) act on adoption rates through 2012. A 39-question survey was disseminated nationally over 3 months using a novel, statistically-modeled approach informed by early response rates to achieve a predetermined sample. EDR adoption rate for clinical support was 52%. Adoption rates were higher among: (1) younger dentists; (2) dentists ≤ 15 years in practice; (3) females; and (4) group practices. Top barriers to adoption were EDR cost/expense, cost-benefit ratio, electronic format conversion, and poor EDR usability. Awareness of the Federal HITECH incentive program was low. The rate of chairside computer implementation was 72%. Adoption of EDR in dental offices in the United States was higher in 2012 than electronic health record adoption rates in medical offices and was not driven by the HITECH program. Patient portal adoption among dental practices in the United States remained low. PMID:29229631

Socio-Economic Factors Affecting Adoption of Modern Information and Communication Technology by Farmers in India: Analysis Using Multivariate Probit Model

ERIC Educational Resources Information Center

Mittal, Surabhi; Mehar, Mamta

2016-01-01

Purpose: The paper analyzes factors that affect the likelihood of adoption of different agriculture-related information sources by farmers. Design/Methodology/Approach: The paper links the theoretical understanding of the existing multiple sources of information that farmers use, with the empirical model to analyze the factors that affect the…

Organizational factors influencing health information technology adoption in long-term-care facilities.

PubMed

Wang, Tiankai; Wang, Yangmei; Moczygemba, Jackie

2014-01-01

Long-term care (LTC) is an important sector of the health care industry. However, the adoption of health information technology (HIT) systems in LTC facilities lags behind that in other sectors of health care. Previous literature has focused on the financial and technical barriers. This study examined the organizational factors associated with HIT adoption in LTC facilities. A survey of 500 LTC facilities in Texas enabled researchers to compile HIT indexes for further statistical analyses. A general linear model was used to study the associations between the clinical/administrative HIT indexes and organizational factors. The empirical outcomes show that the size of an LTC facility has a significant association with HIT adoption. Rural LTC facilities, especially freestanding ones, adopt less HIT than their urban counterparts, whereas freestanding LTC facilities have the lowest HIT adoption overall. There is not enough evidence to support ownership status as a significant factor in HIT adoption. Some implications are proposed, but further research is necessary.

Moderating factors influencing adoption of a mobile chronic disease management system in China.

PubMed

Zhu, Zhangxiang; Liu, Yongmei; Che, Xiaoling; Chen, Xiaohong

2018-01-01

Mobile chronic disease management systems (MCDMS) have become increasingly important in recent years, but in China, challenges remain for their adoption. Existing empirical studies have not completely explored the adoption behavior of potential MCDMS users. This article presents a study in which we investigated factors that influence chronically ill patients in China and their families to adopt or decline to use MCDMS. We applied a research model based on the technology acceptance model (TAM) as well as four contextual constructs (perceived disease threat, perceived risk, initial trust, and technology anxiety) to a survey of 279 potential MCDMS service participants in China. Our key findings include: (1) as consistent with current research, both perceived usefulness and perceived ease of use have positive impact on potential users' MCDMS adoption intention; (2) both perceived disease threat and initial trust have positive impact on MCDMS adoption intention; (3) the impact of perceived risk is negative, and technology anxiety has negative impact on perceived ease of use of MCDMS; (4) young people place more importance on their perceptions of usefulness, ease of operation, and disease threat than middle-aged and older users; (5) family members are more influenced by their perception of ease of use and disease threat than chronically ill patients, while chronically ill patients place more importance on perceived usefulness than family members. This article concludes by discussing the implications of our study for research and practice, as well as limitations and future research directions.

An Exploration of Scenarios to Support Sustainable Land Management Using Integrated Environmental Socio-economic Models

NASA Astrophysics Data System (ADS)

Fleskens, L.; Nainggolan, D.; Stringer, L. C.

2014-11-01

Scenario analysis constitutes a valuable deployment method for scientific models to inform environmental decision-making, particularly for evaluating land degradation mitigation options, which are rarely based on formal analysis. In this paper we demonstrate such an assessment using the PESERA-DESMICE modeling framework with various scenarios for 13 global land degradation hotspots. Starting with an initial assessment representing land degradation and productivity under current conditions, options to combat instances of land degradation are explored by determining: (1) Which technologies are most biophysically appropriate and most financially viable in which locations; we term these the "technology scenarios"; (2) how policy instruments such as subsidies influence upfront investment requirements and financial viability and how they lead to reduced levels of land degradation; we term these the "policy scenarios"; and (3) how technology adoption affects development issues such as food production and livelihoods; we term these the "global scenarios". Technology scenarios help choose the best technology for a given area in biophysical and financial terms, thereby outlining where policy support may be needed to promote adoption; policy scenarios assess whether a policy alternative leads to a greater extent of technology adoption; while global scenarios demonstrate how implementing technologies may serve wider sustainable development goals. Scenarios are applied to assess spatial variation within study sites as well as to compare across different sites. Our results show significant scope to combat land degradation and raise agricultural productivity at moderate cost. We conclude that scenario assessment can provide informative input to multi-level land management decision-making processes.

An exploration of scenarios to support sustainable land management using integrated environmental socio-economic models.

PubMed

Fleskens, L; Nainggolan, D; Stringer, L C

2014-11-01

Scenario analysis constitutes a valuable deployment method for scientific models to inform environmental decision-making, particularly for evaluating land degradation mitigation options, which are rarely based on formal analysis. In this paper we demonstrate such an assessment using the PESERA-DESMICE modeling framework with various scenarios for 13 global land degradation hotspots. Starting with an initial assessment representing land degradation and productivity under current conditions, options to combat instances of land degradation are explored by determining: (1) Which technologies are most biophysically appropriate and most financially viable in which locations; we term these the "technology scenarios"; (2) how policy instruments such as subsidies influence upfront investment requirements and financial viability and how they lead to reduced levels of land degradation; we term these the "policy scenarios"; and (3) how technology adoption affects development issues such as food production and livelihoods; we term these the "global scenarios". Technology scenarios help choose the best technology for a given area in biophysical and financial terms, thereby outlining where policy support may be needed to promote adoption; policy scenarios assess whether a policy alternative leads to a greater extent of technology adoption; while global scenarios demonstrate how implementing technologies may serve wider sustainable development goals. Scenarios are applied to assess spatial variation within study sites as well as to compare across different sites. Our results show significant scope to combat land degradation and raise agricultural productivity at moderate cost. We conclude that scenario assessment can provide informative input to multi-level land management decision-making processes.

Technology-Supported Change: A Staff Development Opportunity.

ERIC Educational Resources Information Center

Bradshaw, Lynn K.

1997-01-01

Implementing technology in a classroom is a personal process that varies from teacher to teacher. The Concerns-Based Adoption Model identifies seven stages of concern that teachers may experience, from awareness to refocusing ideas. Innovative staff development strategies include establishing organizational structures to support technological and…

A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption

DOE Office of Scientific and Technical Information (OSTI.GOV)

Moezzi, Mithra; Ingle, Aaron; Lutzenhiser, Loren

Although U.S. deployment of residential rooftop solar photovoltaic (PV) systems has accelerated in recent years, PV is still installed on less than 1 percent of single-family homes. Most research on household PV adoption focuses on scaling initial markets and modeling predicted growth rather than considering more broadly why adoption occurs. Among the studies that have investigated the characteristics of PV adoption, most collected data from adopters, sometimes with additional non-adopter data, and rarely from people who considered but did not adopt PV. Yet the vast majority of Americans are non-adopters, and they are a diverse group - understanding their waysmore » of evaluating PV adoption is important. Similarly, PV is a unique consumer product, which makes it difficult to apply findings from studies of other technologies to PV. In addition, little research addresses the experience of households after they install PV. This report helps fill some of these gaps in the existing literature. The results inform a more detailed understanding of residential PV adoption, while helping ensure that adoption is sufficiently beneficial to adopters and even non-adopters.« less

A Quantitative Assessment of the Factors that Influence Technology Acceptance in Emergency Response

ERIC Educational Resources Information Center

Seiter, Thomas C.

2012-01-01

Traditional models for studying user acceptance and adoption of technology focused on the factors that identify and tested the relationships forged between the user and the technology in question. In emergency response, implementing technology without user acceptance may affect the safety of the responders and citizenry. Integrating the factors…

Influences on physicians' adoption of electronic detailing (e-detailing).

PubMed

Alkhateeb, Fadi M; Doucette, William R

2009-01-01

E-detailing means using digital technology: internet, video conferencing and interactive voice response. There are two types of e-detailing: interactive (virtual) and video. Currently, little is known about what factors influence physicians' adoption of e-detailing. The objectives of this study were to test a model of physicians' adoption of e-detailing and to describe physicians using e-detailing. A mail survey was sent to a random sample of 2000 physicians practicing in Iowa. Binomial logistic regression was used to test the model of influences on physician adoption of e-detailing. On the basis of Rogers' model of adoption, the independent variables included relative advantage, compatibility, complexity, peer influence, attitudes, years in practice, presence of restrictive access to traditional detailing, type of specialty, academic affiliation, type of practice setting and control variables. A total of 671 responses were received giving a response rate of 34.7%. A total of 141 physicians (21.0%) reported using of e-detailing. The overall adoption model for using either type of e-detailing was found to be significant. Relative advantage, peer influence, attitudes, type of specialty, presence of restrictive access and years of practice had significant influences on physician adoption of e-detailing. The model of adoption of innovation is useful to explain physicians' adoption of e-detailing.

Perceived Compatibility and the Adoption of B2C E-Commerce by Non-buyers

NASA Astrophysics Data System (ADS)

Hernández-García, Ángel; Iglesias-Pradas, Santiago; Chaparro-Peláez, Julián; Pascual-Miguel, Félix

The purpose of this article is to study the factors which affect the intention to buy online for users who have never made any prior purchase using the electronic channel, with special focus to the role of perceived compatibility. To do so, an adoption model for e-commerce was proposed on the basis of the Technology Adoption Model (TAM) and the Innovations Diffusion Theory (IDT). In order to validate the model, data gathered amongst Spanish consumers who had no experience using e-commerce, were analyzed using the partial least squares (PLS) method. The results have demonstrated the importance of perceived compatibility as a significant factor to foster non-buyers' adoption of electronic business-to-consumer e-commerce (eB2C).

Organizational decision to adopt hospital information system: an empirical investigation in the case of Malaysian public hospitals.

PubMed

Ahmadi, Hossein; Nilashi, Mehrbakhsh; Ibrahim, Othman

2015-03-01

This study mainly integrates the mature Technology-Organization-Environment (TOE) framework and recently developed Human-Organization-Technology (HOT) fit model to identify factors that affect the hospital decision in adopting Hospital Information System (HIS). Accordingly, a hybrid Multi-Criteria-Decision-Making (MCDM) model is used to address the dependence relationships of factors with the aid of Analytic Network Processes (ANP) and Decision Making Trial and Evaluation Laboratory (DEMATEL) approaches. The initial model of the study is designed by considering four main dimensions with 13 variables as organizational innovation adoption factors with respect to HIS. By using DEMATEL, the interdependencies strength among the dimensions and variables are tested. The ANP method is then adopted in order to determine the relative importance of the adoption factors, and is used to identify how these factors are weighted and prioritized by the public hospital professionals, who are wholly familiar with the HIS and have years of experience in decision making in hospitals' Information System (IS) department. The results of this study indicate that from the experts' viewpoint "Perceived Technical Competence" is the most important factor in the Human dimension. In the Technology dimension, the experts agree that the "Relative Advantage" is more important in relation to the other factors. In the Organization dimension, "Hospital Size" is considered more important rather than others. And, in the Environment dimension, according to the experts judgment, "Government Policy" is the most important factor. The results of ANP survey from experts also reveal that the experts in the HIS field believed that these factors should not be overlooked by managers of hospitals and the adoption of HIS is more related to more consideration of these factors. In addition, from the results, it is found that the experts are more concerned about Environment and Technology for the adoption HIS. The findings of this study make a novel contribution in the context of healthcare industry that is to improve the decision process of innovation in adoption stage and to help enhance more the diffusion of IS in the hospital setting, which by doing so, can provide plenty of profits to the patient community and the hospitals. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Adequate Security Protocols Adopt in a Conceptual Model in Identity Management for the Civil Registry of Ecuador

NASA Astrophysics Data System (ADS)

Toapanta, Moisés; Mafla, Enrique; Orizaga, Antonio

2017-08-01

We analyzed the problems of security of the information of the civil registries and identification at world level that are considered strategic. The objective is to adopt the appropriate security protocols in a conceptual model in the identity management for the Civil Registry of Ecuador. In this phase, the appropriate security protocols were determined in a Conceptual Model in Identity Management with Authentication, Authorization and Auditing (AAA). We used the deductive method and exploratory research to define the appropriate security protocols to be adopted in the identity model: IPSec, DNSsec, Radius, SSL, TLS, IEEE 802.1X EAP, Set. It was a prototype of the location of the security protocols adopted in the logical design of the technological infrastructure considering the conceptual model for Identity, Authentication, Authorization, and Audit management. It was concluded that the adopted protocols are appropriate for a distributed database and should have a direct relationship with the algorithms, which allows vulnerability and risk mitigation taking into account confidentiality, integrity and availability (CIA).

Decision to adopt medical technology: case study of breast cancer radiotherapy techniques.

PubMed

Gold, Heather Taffet; Pitrelli, Kimberly; Hayes, Mary Katherine; Murphy, Madhuvanti Mahadeo

2014-11-01

To understand decision making concerning adoption and nonadoption of accelerated partial breast radiotherapy (RT) prior to long-term randomized trial evidence. A total of 36 radiation oncologists and surgeons were recruited through purposive and snowball sampling strategies from September 2010 through January 2013. Semistructured phone interviews were conducted and audio-recorded and lasted 20-45 minutes. Qualitative analysis was conducted using a framework approach, iteratively exploring key concepts and emerging issues raised by subjects. Interviews were transcribed and imported into Atlas.ti v6. Transcripts were independently coded by 3 researchers shortly after each interview, followed by consensus development on each coded transcript. Barriers and facilitators of adoption, practice patterns, and informational/educational sources concerning accelerated partial breast RT were all assessed to determine major themes. Nearly half of physicians were surgeons (47%), and half were radiation oncologists (53%), with 61% overall in urban settings. Twenty-nine of the 36 physicians interviewed used brachytherapy-based partial breast RT. Five major factors were involved in physicians' decisions to adopt accelerated partial breast RT: facilitators encouraging adoption (e.g., enthusiastic colleagues and patient convenience), financial and prestige incentives, pressures to adopt (e.g., potential declines in referrals), judgment concerning acceptable level of scientific evidence, and barriers (e.g., not having appropriate machinery or referral mechanism in place). If technology was adopted, clinical guideline adherence varied. Technology adoption is based on financial and social pressures, along with often-limited scientific evidence and what seems "best" for patients. For technology adoption and diffusion to be rational and evidence-based, we must encourage appropriate financial payment models to curb use outside of research studies and promote development of additional treatment registries until sufficient evidence is gathered. © The Author(s) 2014.

Using the UTAUT Model to Analyze Students' ICT Adoption

ERIC Educational Resources Information Center

Attuquayefio, Samuel NiiBoi; Addo, Hillar

2014-01-01

This paper seeks to provide further understanding of issues surrounding acceptance of information and communication technology (ICT) by students of tertiary institutions. The Unified Theory of Acceptance and Use of Technology (UTAUT) model Venkatesh et al (2003) was employed by the researchers to determine the strength of predictors for students'…

Students Perception towards the Implementation of Computer Graphics Technology in Class via Unified Theory of Acceptance and Use of Technology (UTAUT) Model

NASA Astrophysics Data System (ADS)

Binti Shamsuddin, Norsila

Technology advancement and development in a higher learning institution is a chance for students to be motivated to learn in depth in the information technology areas. Students should take hold of the opportunity to blend their skills towards these technologies as preparation for them when graduating. The curriculum itself can rise up the students' interest and persuade them to be directly involved in the evolvement of the technology. The aim of this study is to see how deep is the students' involvement as well as their acceptance towards the adoption of the technology used in Computer Graphics and Image Processing subjects. The study will be towards the Bachelor students in Faculty of Industrial Information Technology (FIIT), Universiti Industri Selangor (UNISEL); Bac. In Multimedia Industry, BSc. Computer Science and BSc. Computer Science (Software Engineering). This study utilizes the new Unified Theory of Acceptance and Use of Technology (UTAUT) to further validate the model and enhance our understanding of the adoption of Computer Graphics and Image Processing Technologies. Four (4) out of eight (8) independent factors in UTAUT will be studied towards the dependent factor.

Synthesizing Technology Adoption and Learners' Approaches towards Active Learning in Higher Education

ERIC Educational Resources Information Center

Chan, Kevin; Cheung, George; Wan, Kelvin; Brown, Ian; Luk, Green

2015-01-01

In understanding how active and blended learning approaches with learning technologies engagement in undergraduate education, current research models tend to undermine the effect of learners' variations, particularly regarding their styles and approaches to learning, on intention and use of learning technologies. This study contributes to further…

Post Advanced Technology Implementation Effects on School Psychologist Job Performance

ERIC Educational Resources Information Center

Hobson, Rana Dirice

2017-01-01

The technology acceptance model (TAM) has been widely used to assess technology adoption in business, education, and health care. The New York City Department of Education (NYCDOE) launched a web-based Individualized Educational Program (IEP) system for school psychologists to use in conducting evaluations and reviews. This quantitative study…

Technological Pedagogical Content Knowledge of Secondary Mathematics Teachers

ERIC Educational Resources Information Center

Handal, Boris; Campbell, Chris; Cavanagh, Michael; Petocz, Peter; Kelly, Nick

2013-01-01

The integration of technology, pedagogy, and content in the teaching of secondary mathematics was explored among 280 secondary mathematics teachers in the State of New South Wales, Australia. The study adopted the technological pedagogical content knowledge (TPCK) model through the administration of a 30-item instrument called TPCK-M. The…

Validating and Modelling Technological Pedagogical Content Knowledge Framework among Asian Preservice Teachers

ERIC Educational Resources Information Center

Chai, Ching Shing; Ng, Eugenia M. W.; Li, Wenhao; Hong, Huang-Yao; Koh, Joyce H. L.

2013-01-01

The Technological Pedagogical Content Knowledge (TPCK) framework has been adopted by many educational technologists and teacher educators for the research and development of knowledge about the pedagogical uses of Information and Communication Technologies (ICT) in classrooms. While the framework is potentially very important, efforts to survey…

Investigating Faculty Technology Mentoring as a University-Wide Professional Development Model

ERIC Educational Resources Information Center

Baran, Evrim

2016-01-01

A growing and increasingly important area of research in higher education is the investigation of how different forms of support and training programs facilitate faculty adoption of technology into pedagogical practices. This study explored the implementation of a faculty technology mentoring (FTM) program as a university-wide professional…

Factors affecting the adoption of healthcare information technology.

PubMed

Phichitchaisopa, Nisakorn; Naenna, Thanakorn

2013-01-01

In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions.

Factors affecting the adoption of healthcare information technology

PubMed Central

Phichitchaisopa, Nisakorn; Naenna, Thanakorn

2013-01-01

In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions. PMID:26417235

Where Did Google Get Its Value?

ERIC Educational Resources Information Center

Caufield, James

2005-01-01

Google's extraordinary success is usually attributed to innovative technology and new business models. By contrast, this paper argues that Google's success is mostly due to its adoption of certain library values. First, Google has refused to adopt the standard practices of the search engine business, practices that compromised service to the user…

Diffusion models for innovation: s-curves, networks, power laws, catastrophes, and entropy.

PubMed

Jacobsen, Joseph J; Guastello, Stephen J

2011-04-01

This article considers models for the diffusion of innovation would be most relevant to the dynamics of early 21st century technologies. The article presents an overview of diffusion models and examines the adoption S-curve, network theories, difference models, influence models, geographical models, a cusp catastrophe model, and self-organizing dynamics that emanate from principles of network configuration and principles of heat diffusion. The diffusion dynamics that are relevant to information technologies and energy-efficient technologies are compared. Finally, principles of nonlinear dynamics for innovation diffusion that could be used to rehabilitate the global economic situation are discussed.

3D design terrain models for construction plans and GPS control of highway construction equipment.

DOT National Transportation Integrated Search

2010-03-01

Research was conducted with the objectives of 1) identifying and characterizing benefits and technological, institutional, cultural, and : legal impediments associated with adoption of 3D design and construction technologies, identifying strategies t...

Quantifying Adoption Rates and Energy Savings Over Time for Advanced Manufacturing Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hanes, Rebecca; Carpenter Petri, Alberta C; Riddle, Matt

Energy-efficient manufacturing technologies can reduce energy consumption and lower operating costs for an individual manufacturing facility, but increased process complexity and the resulting risk of disruption means that manufacturers may be reluctant to adopt such technologies. In order to quantify potential energy savings at scales larger than a single facility, it is necessary to account for how quickly and how widely the technology will be adopted by manufacturers. This work develops a methodology for estimating energy-efficient manufacturing technology adoption rates using quantitative, objectively measurable technology characteristics, including energetic, economic and technical criteria. Twelve technology characteristics are considered, and each characteristicmore » is assigned an importance weight that reflects its impact on the overall technology adoption rate. Technology characteristic data and importance weights are used to calculate the adoption score, a number between 0 and 1 that represents how quickly the technology is likely to be adopted. The adoption score is then used to estimate parameters for the Bass diffusion curve, which quantifies the change in the number of new technology adopters in a population over time. Finally, energy savings at the sector level are calculated over time by multiplying the number of new technology adopters at each time step with the technology's facility-level energy savings. The proposed methodology will be applied to five state-of-the-art energy-efficient technologies in the carbon fiber composites sector, with technology data obtained from the Department of Energy's 2016 bandwidth study. Because the importance weights used in estimating the Bass curve parameters are subjective, a sensitivity analysis will be performed on the weights to obtain a range of parameters for each technology. The potential energy savings for each technology and the rate at which each technology is adopted in the sector are quantified and used to identify the technologies which offer the greatest cumulative sector-level energy savings over a period of 20 years. Preliminary analysis indicates that relatively simple technologies, such as efficient furnaces, will be adopted more quickly and result in greater cumulative energy savings compared to more complex technologies that require process retrofitting, such as advanced control systems.« less

Comparison of Vehicle Choice Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephens, Thomas S.; Levinson, Rebecca S.; Brooker, Aaron

Five consumer vehicle choice models that give projections of future sales shares of light-duty vehicles were compared by running each model using the same inputs, where possible, for two scenarios. The five models compared — LVCFlex, MA3T, LAVE-Trans, ParaChoice, and ADOPT — have been used in support of the Energy Efficiency and Renewable Energy (EERE) Vehicle Technologies Office in analyses of future light-duty vehicle markets under different assumptions about future vehicle technologies and market conditions. The models give projections of sales shares by powertrain technology. Projections made using common, but not identical, inputs showed qualitative agreement, with the exception ofmore » ADOPT. ADOPT estimated somewhat lower advanced vehicle shares, mostly composed of hybrid electric vehicles. Other models projected large shares of multiple advanced vehicle powertrains. Projections of models differed in significant ways, including how different technologies penetrated cars and light trucks. Since the models are constructed differently and take different inputs, not all inputs were identical, but were the same or very similar where possible. Projections by all models were in close agreement only in the first few years. Although the projections from LVCFlex, MA3T, LAVE-Trans, and ParaChoice were in qualitative agreement, there were significant differences in sales shares given by the different models for individual powertrain types, particularly in later years (2030 and later). For example, projected sales shares of conventional spark-ignition vehicles in 2030 for a given scenario ranged from 35% to 74%. Reasons for such differences are discussed, recognizing that these models were not developed to give quantitatively accurate predictions of future sales shares, but to represent vehicles markets realistically and capture the connections between sales and important influences. Model features were also compared at a high level, and suggestions for further comparison of models are given to enable better understanding of how different features and algorithms used in these models may give different projections.« less

Measuring the Success of Library 2.0 Technologies in the African Context: The Suitability of the DeLone and McLean's Model

ERIC Educational Resources Information Center

Lwoga, Edda Tandi

2013-01-01

Purpose: This study aims to examine the suitability of information systems (IS) success model in the adoption of library 2.0 technologies among undergraduate students in the African context, and focused at the Muhimbili University of Health and Allied Sciences (MUHAS) of Tanzania. Design/methodology/approach: Based on the IS success model, the…

Anatomy of scientific evolution.

PubMed

Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

2015-01-01

The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making.

Anatomy of Scientific Evolution

PubMed Central

Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

2015-01-01

The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making. PMID:25671617

Health information technology adoption in U.S. acute care hospitals.

PubMed

Zhang, Ning Jackie; Seblega, Binyam; Wan, Thomas; Unruh, Lynn; Agiro, Abiy; Miao, Li

2013-04-01

Previous studies show that the healthcare industry lags behind many other economic sectors in the adoption of information technology. The purpose of this study is to understand differences in structural characteristics between providers that do and that do not adopt Health Information Technology (HIT) applications. Publicly available secondary data were used from three sources: American Hospital Association (AHA) annual survey, Healthcare Information and Management Systems Society (HIMSS) analytics annual survey, and Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) databases. Fifty-two information technologies were grouped into three clusters: clinical, administrative, and strategic decision making ITs. Negative binomial regression was applied with adoption of technology as the dependent variables and eight organizational and contextual factors as the independent variables. Hospitals adopt a relatively larger proportion of administrative information technology as compared to clinical and strategic IT. Large size, urban location and HMO penetration were found to be the most influential hospital characteristics that positively affect information technology adoption. There are still considerable variations in the adoption of information technology across hospitals and in the type of technology adopted. Organizational factors appear to be more influential than market factors when it comes to information technology adoption. The future research may examine whether the Electronic Health Record (EHR) Incentive Program in 2011 would increase the information technology uses in hospitals as it provides financial incentives for HER adoptions and uses among providers.

A framework to analyze emissions implications of manufacturing shifts in the industrial sector through integrating bottom-up energy models and economic input-output environmental life cycle assessment models

EPA Science Inventory

Future year emissions depend highly on the evolution of the economy, technology and current and future regulatory drivers. A scenario framework was adopted to analyze various technology development pathways and societal change while considering existing regulations and future unc...

A framework to analyze emissions implications of manufacturing shifts in the industrial sector through integrating bottom-up energy models and economic input/output environmental life cycle assessment models

EPA Science Inventory

Future year emissions depend highly on economic, technological, societal and regulatory drivers. A scenario framework was adopted to analyze technology development pathways and changes in consumer preferences, and evaluate resulting emissions growth patterns while considering fut...

Education 3.0: Breaking the Mold with Technology

ERIC Educational Resources Information Center

Watson, William R.; Watson, Sunnie Lee; Reigeluth, Charles M.

2015-01-01

In order to meet the needs of today's knowledge economy, education needs to move beyond the industrial age approach of treating all learners as if they are the same and adopt a learner-centered model of education suitable for the information age. To support this model, a new and transformative technology is needed that focuses on mastery and…

Investigating Students' Acceptance of a Statistics Learning Platform Using Technology Acceptance Model

ERIC Educational Resources Information Center

Song, Yanjie; Kong, Siu-Cheung

2017-01-01

The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a…

Cognitive Factors in Predicting Continued Use of Information Systems with Technology Adoption Models

ERIC Educational Resources Information Center

Huang, Chi-Cheng

2017-01-01

Introduction: The ultimate viability of an information system is dependent on individuals' continued use of the information system. In this study, we use the technology acceptance model and the theory of interpersonal behaviour to predict continued use of information systems. Method: We established a Web questionnaire on the mySurvey Website and…

The integrated model of smartphone adoption: hedonic and utilitarian value perceptions of smartphones among Korean college students.

PubMed

Chun, Heasun; Lee, Hyunjoo; Kim, Daejoong

2012-09-01

This study aims to propose an integrated model of smartphone adoption that incorporates social influences (SIs), perceived technicality, as well as hedonic and utilitarian attitudes into the technology acceptance model. The proposed model was empirically evaluated by using survey data collected from 239 Korean college students to investigate their perception and attitudes toward smartphone adoption intention. Our results show that users' attitudes and their adoption intention are highly influenced by SI and positive self-image. This implies that a smartphone is a symbolic product that can signal affiliation and enhance the users' status in a group. The results also indicate that hedonic enjoyment is equally important as utilitarian usefulness in predicting the adoption intention, and the two variables mediate the relationships between SI, positive self-image, perceived technicality, and the intention to use. Consequently, the results reveal that smartphones are convergent media that can be viewed as both task-oriented and entertainment-oriented devices.

Integrating the Technology Acceptance Model and Diffusion of Innovation: Factors Promoting Interest in Energy Efficient and Renewable Energy Technologies at Military Installations, Federal Facilities and Land-Grant Universities

ERIC Educational Resources Information Center

Dudik, C. E. Jane

2017-01-01

Energy managers are tasked with identifying energy savings opportunities and promoting energy independence. Energy-efficient (EE) and renewable-energy (RE) technology demonstrations enable energy managers to evaluate new energy technologies and adopt those that appear most effective. This study examined whether energy technology demonstrations…

Facilitators of and Barriers to mHealth Adoption in Older Adults With Heart Failure.

PubMed

Cajita, Maan Isabella; Hodgson, Nancy A; Lam, Katherine Wai; Yoo, Sera; Han, Hae-Ra

2018-05-04

The purpose of this descriptive, exploratory study was to assess the perceptions of older adults with heart failure regarding the use of mobile technology and to identify potential facilitators of and barriers to mHealth adoption. Semistructured interviews were used to collect data. Transcripts were analyzed using qualitative content analysis. The findings indicated that older adults do not base their intention to use mHealth solely on perceived ease of use and perceived usefulness, as outlined in the Technology Acceptance Model. The following themes emerged from the content analysis: facilitators included previous experience with mobile technology, willingness to learn mHealth, ease of use, presence of useful features, adequate training, free equipment, and doctor's recommendation; barriers included lack of knowledge regarding how to use mHealth, decreased sensory perception, lack of need for technology, poorly designed interface, cost of technology, and limited/fixed income. Overall, the findings suggest that older adults are willing to use mobile health technology, albeit with reservations. Future researchers who seek to implement mHealth-based interventions should address person-related, technology-related, and contextual barriers, and simultaneously capitalize on the influence of potential facilitators, such as a physician's recommendation, to promote mHealth adoption.

Determinant Factors in Applying Picture Archiving and Communication Systems (PACS) in Healthcare.

PubMed

Abdekhoda, Mohammadhiwa; Salih, Kawa Mirza

2017-01-01

Meaningful use of picture archiving and communication systems (PACS) can change the workflow for accessing digital images, lead to faster turnaround time, reduce tests and examinations, and increase patient throughput. This study was carried out to identify determinant factors that affect the adoption of PACS by physicians. This was a cross-sectional study in which 190 physicians working in a teaching hospital affiliated with Tehran University of Medical Sciences were randomly selected. Physicians' perceptions concerning the adoption of PACS were assessed by the conceptual path model of the Unified Theory of Acceptance and Use of Technology (UTAUT). Collected data were analyzed with regression analysis. Structural equation modeling was applied to test the final model that was developed. The results show that the UTAUT model can explain about 61 percent of the variance on in the adoption of PACS ( R 2 = 0.61). The findings also showed that performance expectancy, effort expectancy, social influences, and behavior intention have a direct and significant effect on the adoption of PACS. However, facility condition showed to have no significant effect on physicians' behavior intentions. Implementation of new technology such as PACS in the healthcare sector is unavoidable. Our study clearly identified significant and nonsignificant factors that may affect the adoption of PACS. Also, this study acknowledged that physicians' perception is a key factor to manage the implementation of PACS optimally, and this fact should be considered by healthcare managers and policy makers.

Determinant Factors in Applying Picture Archiving and Communication Systems (PACS) in Healthcare

PubMed Central

Abdekhoda, Mohammadhiwa; Salih, Kawa Mirza

2017-01-01

Objectives Meaningful use of picture archiving and communication systems (PACS) can change the workflow for accessing digital images, lead to faster turnaround time, reduce tests and examinations, and increase patient throughput. This study was carried out to identify determinant factors that affect the adoption of PACS by physicians. Methods This was a cross-sectional study in which 190 physicians working in a teaching hospital affiliated with Tehran University of Medical Sciences were randomly selected. Physicians’ perceptions concerning the adoption of PACS were assessed by the conceptual path model of the Unified Theory of Acceptance and Use of Technology (UTAUT). Collected data were analyzed with regression analysis. Structural equation modeling was applied to test the final model that was developed. Results The results show that the UTAUT model can explain about 61 percent of the variance on in the adoption of PACS (R2 = 0.61). The findings also showed that performance expectancy, effort expectancy, social influences, and behavior intention have a direct and significant effect on the adoption of PACS. However, facility condition showed to have no significant effect on physicians’ behavior intentions. Conclusions Implementation of new technology such as PACS in the healthcare sector is unavoidable. Our study clearly identified significant and nonsignificant factors that may affect the adoption of PACS. Also, this study acknowledged that physicians’ perception is a key factor to manage the implementation of PACS optimally, and this fact should be considered by healthcare managers and policy makers. PMID:28855856

Factors driving aquaculture technology adoption

USDA-ARS?s Scientific Manuscript database

Technology adoption has played a key role in the global development and increase in agricultural productivity. However, the decision to adopt a new technology on farms is complex. While the factors that drive the adoption of new technologies have been well studied in agriculture, less attention has ...

Measuring the post-adoption customer perception of mobile banking services.

PubMed

Yu, Tai-Kuei; Fang, Kwoting

2009-02-01

With liberalization and internalization in the financial market and progress in information technology, banks face dual competitive pressures to provide service quality and administrative efficiency. That these recent developments are fueled by technology might misleadingly suggest that the adoption of mobile banking is largely based on technological criteria. The purpose of this study is to establish a better measurement model for postadoption user perception of mobile banking services. Based on 458 valid responses of mobile banking users, the results show that the instrument, consisting of 21 items and 6 factors, is a reliable, valid, and useful measurement for assessing the postadoption perception of mobile banking.

Changing stress while stressing change: the role of interprofessional education in mediating stress in the introduction of a transformative technology.

PubMed

Gillan, Caitlin; Wiljer, David; Harnett, Nicole; Briggs, Kaleigh; Catton, Pamela

2010-11-01

The introduction of a transformative technology into practice settings can affect the functioning of interprofessional teams, placing stress on interprofessional relationships, thus slowing adoption and change. This study explored the potential of an interprofessional education (IPE) approach to mediate this stress and facilitate the adoption of a transformative technology- Image Guided Radiation Therapy (IGRT). Oncologists, physicists, and therapists in radiation medicine who attended an interprofessional IGRT Education Course were interviewed about perceived benefits and stressors to IPE and to interprofessional practice (IPP) in the IGRT context. A modified grounded theory approach was used to conduct 14 interviews, with 200 minutes of interview time recorded. In introducing IGRT, participants noted interprofessional stress in understanding and adopting new technology. IPE offered common terminology, appreciation for others' knowledge, and a holistic framework for practice. Outcomes were thought to foster collaboration, efficiency, and improved professional role definition. Time constraints and power relations were noted to be residual stressors exacerbated by IPE, but were thought to be transient. IPE can thus be of benefit in the implementation of transformative technologies such as IGRT, through mediation of interprofessional stress inherent in change. Interprofessional knowledge, collaboration, and efficiency in practice facilitate the development and adoption of a new practice model.

Direct and indirect impacts of integrated pest management on pesticide use: a case of rice agriculture in Java, Indonesia.

PubMed

Mariyono, Joko

2008-10-01

Integrated pest management (IPM) technology has been disseminated since 1989 in Indonesia to cut down pesticide use, but the adoption and diffusion of the technology are still debated. This study aims to estimate the models of demand for pesticides and to analyse the impact of IPM technology on pesticide use. Aggregate cross-section time series data from 1990-1998 are used. The results show that IPM technology reduces the use of pesticides by improving the process of rice production, such that pesticides are more efficiently used. In this case, the IPM technology is not a pest control technique. CONCLUSION There is an indication that IPM technology has been adopted by farmers. This is evidence that the IPM programme in Indonesia was successful in this area.

Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals

PubMed Central

Alam, Md Golam Rabiul; Masum, Abdul Kadar Muhammad; Beh, Loo-See; Hong, Choong Seon

2016-01-01

The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh—an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories—Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption decisions in hospitals. Employing non-probability sampling method, a total of 550 copies of structured questionnaires were distributed among HR executives of 92 private hospitals in Bangladesh. Among the respondents, usable questionnaires were 383 that suggesting a valid response rate of 69.63%. We classify the sample into 3 core groups based on the HRIS initial implementation, namely adopters, prospectors, and laggards. The obtained results specify 5 most critical factors i.e. IT infrastructure, top management support, IT capabilities of staff, perceived cost, and competitive pressure. Moreover, the most significant dimension is technological dimension followed by organisational, human, and environmental among the proposed 4 dimensions. Lastly, the study found existence of significant differences in all factors across different adopting groups. The study results also expose constructive proposals to researchers, hospitals, and the government to enhance the likelihood of adopting HRIS. The present study has important implications in understanding HRIS implementation in developing countries. PMID:27494334

Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals.

PubMed

Alam, Md Golam Rabiul; Masum, Abdul Kadar Muhammad; Beh, Loo-See; Hong, Choong Seon

2016-01-01

The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption decisions in hospitals. Employing non-probability sampling method, a total of 550 copies of structured questionnaires were distributed among HR executives of 92 private hospitals in Bangladesh. Among the respondents, usable questionnaires were 383 that suggesting a valid response rate of 69.63%. We classify the sample into 3 core groups based on the HRIS initial implementation, namely adopters, prospectors, and laggards. The obtained results specify 5 most critical factors i.e. IT infrastructure, top management support, IT capabilities of staff, perceived cost, and competitive pressure. Moreover, the most significant dimension is technological dimension followed by organisational, human, and environmental among the proposed 4 dimensions. Lastly, the study found existence of significant differences in all factors across different adopting groups. The study results also expose constructive proposals to researchers, hospitals, and the government to enhance the likelihood of adopting HRIS. The present study has important implications in understanding HRIS implementation in developing countries.

A Model for Integrating ICT into Teacher Training Programs in Bangladesh Based on TPCK

ERIC Educational Resources Information Center

Khan, Shahadat Hossain

2014-01-01

Modern technology increasingly creates new challenges in various professional development and practice. However, in teaching, the mere adoption of new or innovative technology is not enough to meet the students' learning needs and opportunities. Technology alone could not sufficiently bring about the desired changes in students' competencies and…

One Model of Professional Development for Higher Education Faculty

ERIC Educational Resources Information Center

Amburgey, Valeria

2007-01-01

Northern Kentucky University's College of Education's faculty realizes that the infusion of technology into the teacher education program is important. Support for the infusion of technology was evident when the faculty adopted the ISTE Recommended Foundations for Teachers and a five-year technology plan in 1998. Interviews with the faculty during…

Achieving Complex Learning Outcomes through Adoption of a Pedagogical Perspective: A Model for Computer Technology Delivered Instruction

ERIC Educational Resources Information Center

Bellard, Breshanica

2018-01-01

Professionals responsible for the delivery of education and training using technology systems and platforms can facilitate complex learning through application of relevant strategies, principles and theories that support how learners learn and that support how curriculum should be designed in a technology based learning environment. Technological…

A Model for Instructors' Adoption of Learning Management Systems: Empirical Validation in Higher Education Context

ERIC Educational Resources Information Center

Findik Coskuncay, Duygu; Ozkan, Sevgi

2013-01-01

Through the rapid expansion of information technologies, Learning Management Systems have become one of the most important innovations for delivering education. However, successful implementation and management of these systems are primarily based on the instructors' adoption. In this context, this study aims to understand behavioral intentions…

Antecedents of Adopting E-Learning: Toward a Model of Academic E-Learning Acceptance

ERIC Educational Resources Information Center

Kamali, Ali

2013-01-01

This study investigates factors that predict the successful adoption and implementation of e-learning technologies in college level courses. The study employed "availability sample," to collect data via face-to-face interviews with academic professionals in a small liberal arts and sciences college in the Midwest. Two hundred and twelve…

Factors Influencing Students' Adoption of E-Learning: A Structural Equation Modeling Approach

ERIC Educational Resources Information Center

Tarhini, Ali; Masa'deh, Ra'ed; Al-Busaidi, Kamla Ali; Mohammed, Ashraf Bany; Maqableh, Mahmoud

2017-01-01

Purpose: This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach: A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit,…

National-level differences in the adoption of environmental health technologies: a cross-border comparison from Benin and Togo.

PubMed

Wendland, Kelly J; Pattanayak, Subhrendu K; Sills, Erin O

2015-03-01

Environmental health problems such as malaria, respiratory infections, diarrhoea and malnutrition pose very high burdens on the poor rural people in much of the tropics. Recent research on key interventions-the adoption and use of relatively cheap and effective environmental health technologies-has focused primarily on the influence of demand-side household-level drivers. Relatively few studies of the promotion and use of these technologies have considered the role of contextual factors such as governance, the enabling environment and national policies because of the challenges of cross-country comparisons. We exploit a natural experimental setting by comparing household adoption across the Benin-Togo national border that splits the Tamberma Valley in West Africa. Households across the border share the same culture, ethnicity, weather, physiographic features, livelihoods and infrastructure; however, they are located in countries at virtually opposite ends of the institutional spectrum of democratic elections, voice and accountability, effective governance and corruption. Binary choice models and rigorous non-parametric matching estimators confirm that households in Benin are more likely than households in Togo to plant soybeans, build improved cookstoves and purchase mosquito nets, ceteris paribus. Although we cannot identify the exact mechanism for the large and significant national-level differences in technology adoption, our findings suggest that contextual institutional factors can be more important than household characteristics for technology adoption. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.

Climatic and agricultural drivers of soil erosion in Africa

NASA Astrophysics Data System (ADS)

Irvine, Brian; Kirkby, Mike; Fleskens, Luuk

2015-04-01

Soil erosion was the most frequently identified driver of land degradation across a selection of global research sites within the DESIRE-EU project. The PESERA model was adopted in the project to upscale field results and consider the potential biophysical impact both with and without stakeholder selected sustainable land management (SLM) technologies in place. The PESERA model was combined with the DESMICE economic model and focussed on forecasting the regional effects of combating desertification both in environmental and socio-economical terms. The PESERA-DESMICE approach is further developed in the WAHARA project to consider the potential of a range of water harvesting technologies to improve biophysical conditions. Modelling in the WAHARA project considers detail of water harvesting technologies at the study site scale through to a coarser application at the continental scale with the latter being informed by the detail provided by study site observations an approach adopted in DESIRE-EU. The PESERA-DESMICE approach considers the difference between a baseline scenario and a (water harvesting) technology scenario at both scales in terms of productivity, financial viability and scope for reducing erosion risk. This paper considers the continental scale and focuses on estimating the impact of in-situ water harvesting technologies across Africa under current and future agricultural and climate pressure. PESERA is adopted in this continental application as it implicitly considers the impact of land-use and climate and can be readily amended to simulate in-situ WHT. Input data for PESERA; land use, management (crop type and planting dates), soil data and topography are derived from global data resources. Climate data for present and future scenarios are available through the QUEST-GSI initiative, where future scenarios are based on the outputs of seven GCM's.

Adoption of Speech Recognition Technology in Community Healthcare Nursing.

PubMed

Al-Masslawi, Dawood; Block, Lori; Ronquillo, Charlene

2016-01-01

Adoption of new health information technology is shown to be challenging. However, the degree to which new technology will be adopted can be predicted by measures of usefulness and ease of use. In this work these key determining factors are focused on for design of a wound documentation tool. In the context of wound care at home, consistent with evidence in the literature from similar settings, use of Speech Recognition Technology (SRT) for patient documentation has shown promise. To achieve a user-centred design, the results from a conducted ethnographic fieldwork are used to inform SRT features; furthermore, exploratory prototyping is used to collect feedback about the wound documentation tool from home care nurses. During this study, measures developed for healthcare applications of the Technology Acceptance Model will be used, to identify SRT features that improve usefulness (e.g. increased accuracy, saving time) or ease of use (e.g. lowering mental/physical effort, easy to remember tasks). The identified features will be used to create a low fidelity prototype that will be evaluated in future experiments.

Toward understanding Malaysian fishermen's decision making on the use of fishing technology: a mental model approach.

PubMed

Hamzah, Azimi; Krauss, Steven E; Shaffril, Hayrol A M; Suandi, Turiman; Ismail, Ismi A; Abu Samah, Bahaman

2014-10-01

The vast majority of Malaysia's fishermen are located in rural areas, specifically in the Western and Eastern coastal regions of Peninsular Malaysia and the Sabah and Sarawak central zones. In these areas, the fishing industry is relied upon as a major economic contributor to the region's residents. Despite the widespread application of various modern technologies into the fishing industry (i.e., GPS, sonar, echo sounder, remote sensing), and the Malaysian government's efforts to encourage their adoption, many small-scale fishermen in the country's rural areas continue to rely on traditional fishing methods. This refusal to embrace new technologies has resulted in significant losses in fish yields and needed income, and has raised many questions regarding the inputs to decision making of the fishermen. Drawing on multiple literatures, in this article we argue for the use of a mental model approach to gain an in-depth understanding of rural Malaysian fishermen's choices of technology adoption according to four main constructs--prior experience, knowledge, expertise and beliefs or values. To provide needed inputs to agricultural specialists and related policy makers for the development of relevant plans of action, this article aims to provide a way forward for others to understand dispositional barriers to technology adoption among fishermen who use traditional methods in non-Western contexts. © 2013 International Union of Psychological Science.

Caring communications: how technology enhances interpersonal relations, Part II.

PubMed

Simpson, Roy L

2008-01-01

Part I of this 2-part series about technology's role in interpersonal communications examined how humans interact; proposed a caring theory of communication, collaboration, and conflict resolution; and delineated ways that technology--in general--supports this carative model of interpersonal relations. Part II will examine the barriers to adoption of carative technologies, describe the core capabilities required to overcome them, and discuss specific technologies that can support carative interpersonal relationships.

The Adoption of Blended E-Learning Technology in Vietnam Using a Revision of the Technology Acceptance Model

ERIC Educational Resources Information Center

Tran, Khanh Ngo Nhu

2016-01-01

This study examines factors that determine the attitudes of learners toward a blended e-learning system (BELS) using data collected by questionnaire from a sample of 396 students involved in a BELS environment in Vietnam. A theoretical model is derived from previous studies and is analyzed and developed using structural equation modeling…

The Impact of Student Teaching Experience on Pre-Service Teachers' Readiness for Technology Integration: A Mixed Methods Study with Growth Curve Modeling

ERIC Educational Resources Information Center

Sun, Yan; Strobel, Johannes; Newby, Timothy J.

2017-01-01

Adopting a two-phase explanatory sequential mixed methods research design, the current study examined the impact of student teaching experiences on pre-service teachers' readiness for technology integration. In phase-1 of quantitative investigation, 2-level growth curve models were fitted using online repeated measures survey data collected from…

Emerging Food Processing Technologies and Factors Impacting their Industrial Adoption.

PubMed

Priyadarshini, Anushree; Rajauria, Gaurav; O'Donnell, Colm P; Tiwari, Brijesh K

2018-06-04

Innovative food processing technologies have been widely investigated in food processing research in recent years. These technologies offer key advantages for advancing the preservation and quality of conventional foods, for combatting the growing challenges posed by globalization, increased competitive pressures and diverse consumer demands. However, there is a need to increase the level of adoption of novel technologies to ensure the potential benefits of these technologies are exploited more by the food industry. This review outlines emerging thermal and non-thermal food processing technologies with regard to their mechanisms, applications and commercial aspects. The level of adoption of novel food processing technologies by the food industry is outlined and the factors that impact their industrial adoption are discussed. At an industry level, the technological capabilities of individual companies, their size, market share as well as their absorptive capacity impact adoption of a novel technology. Characteristics of the technology itself such as costs involved in its development and commercialization, associated risks and relative advantage, its level of complexity and compatibility influence the technology's adoption. The review concludes that a deep understanding of the development and application of a technology along with the factors influencing its acceptance are critical for its commercial adoption.

Information Communication Technologies in the Classroom: Expanding TAM to Examine Instructor Acceptance and Use

ERIC Educational Resources Information Center

Huntington, Heidi; Worrell, Tracy

2013-01-01

Studies show that use of computer-based information communication technologies (ICTs) can have positive impacts on student motivation and learning. The present study examines the issue of ICT adoption in the classroom by expanding the Technology Acceptance Model to identify factors that contribute to teacher acceptance and use of these…

A Correlational Study of the Technology Acceptance Model and Georgia Behavioral Healthcare Provider Telemedicine Adoption

ERIC Educational Resources Information Center

Yallah, Ali

2014-01-01

The implementation of Telemedicine in behavioral health centers can be expensive if proactive steps were not taken to minimize user perceptions towards the new technology. Despite the significant capital investments on new Telemedicine, no consensus identified and explained what factors determined the acceptance, or rejection, of the technology.…

From a social marketing perspective: a proposed customer relationship management technology transfer model

Treesearch

Delton Alderman; Kent Nakamoto; David Briberg

2007-01-01

Technology and knowledge transfer (TKT) is practiced for a plethora of causes, ranging from AIDS prevention to manufacturing competitiveness. The number of government, university, and association TKT efforts is exhausting and fraught with problems; we know anecdotally that the adoption of technology or knowledge is minimal across all contexts. There are a myriad of...

Closing the Missing Links and Opening the Relationships among the Factors: A Literature Review on the Use of Clicker Technology Using the 3P Model

ERIC Educational Resources Information Center

Han, Jae Hoon

2014-01-01

Clicker technology is one of the most widely adopted communication systems in college classroom environments. Previous literature reviews on clicker technology have identified and thoroughly documented the advantages, disadvantages, and implications of the use of this technology; the current review is intended to synthesize those earlier findings…

Delaying investments in sensor technology: The rationality of dairy farmers' investment decisions illustrated within the framework of real options theory.

PubMed

Rutten, C J; Steeneveld, W; Oude Lansink, A G J M; Hogeveen, H

2018-05-02

The adoption rate of sensors on dairy farms varies widely. Whereas some sensors are hardly adopted, others are adopted by many farmers. A potential rational explanation for the difference in adoption may be the expected future technological progress in the sensor technology and expected future improved decision support possibilities. For some sensors not much progress can be expected because the technology has already made enormous progress in recent years, whereas for sensors that have only recently been introduced on the market, much progress can be expected. The adoption of sensors may thus be partly explained by uncertainty about the investment decision, in which uncertainty lays in the future performance of the sensors and uncertainty about whether improved informed decision support will become available. The overall aim was to offer a plausible example of why a sensor may not be adopted now. To explain this, the role of uncertainty about technological progress in the investment decision was illustrated for highly adopted sensors (automated estrus detection) and hardly adopted sensors (automated body condition score). This theoretical illustration uses the real options theory, which accounts for the role of uncertainty in the timing of investment decisions. A discrete event model, simulating a farm of 100 dairy cows, was developed to estimate the net present value (NPV) of investing now and investing in 5 yr in both sensor systems. The results show that investing now in automated estrus detection resulted in a higher NPV than investing 5 yr from now, whereas for the automated body condition score postponing the investment resulted in a higher NPV compared with investing now. These results are in line with the observation that farmers postpone investments in sensors. Also, the current high adoption of automated estrus detection sensors can be explained because the NPV of investing now is higher than the NPV of investing in 5 yr. The results confirm that uncertainty about future sensor performance and uncertainty about whether improved decision support will become available play a role in investment decisions. Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

PubMed Central

Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

2017-01-01

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brooker, A.; Gonder, J.; Lopp, S.

The Automotive Deployment Option Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energy’s Vehicle Technologies Office. It estimates technology improvement impacts on U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method estimate sales. Specifically, it estimates sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution ofmore » importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced. The sales feed into the ADOPT stock model. It captures key aspects for summing petroleum use and greenhouse gas emissions This includes capturing the change in vehicle miles traveled by vehicle age, the creation of new model options based on the success of existing vehicles, new vehicle option introduction rate limits, and survival rates by vehicle age. ADOPT has been extensively validated with historical sales data. It matches in key dimensions including sales by fuel economy, acceleration, price, vehicle size class, and powertrain across multiple years. A graphical user interface provides easy and efficient use. It manages the inputs, simulation, and results.« less

Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

ERIC Educational Resources Information Center

Wolfenden, Andrew

2012-01-01

The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

Investigating the Structural Relationship for the Determinants of Cloud Computing Adoption in Education

ERIC Educational Resources Information Center

Bhatiasevi, Veera; Naglis, Michael

2016-01-01

This research is one of the first few to investigate the adoption and usage of cloud computing in higher education in the context of developing countries, in this case Thailand. It proposes extending the technology acceptance model to integrate subjective norm, perceived convenience, trust, computer self-efficacy, and software functionality in…

Technology-Assisted Sheltered Instruction: Instructional Streaming Video in an EFL Multi-Purpose Computer Course

ERIC Educational Resources Information Center

Huang, Yun-Hsuan; Chuang, Tsung-Yen

2016-01-01

Content-based instruction (CBI) has been widely adopted for decades. However, existing CBI models cannot always be effectively put into practice, especially for learners of lower English proficiency in English as a foreign language (EFL) context. This study examined an animation design course adopting CBI to promote reading abilities of English…

Examining eXtension: Diffusion, Disruption, and Adoption among Iowa State University Extension and Outreach Professionals

ERIC Educational Resources Information Center

Taylor, Cayla; Miller, Greg

2016-01-01

As eXtension unveils its new membership model, Iowa State University Extension and Outreach must determine how best to support professionals and clientele using the technology. This article reports on a study that used the diffusion of innovations and disruptive innovation theories to assess Iowa Extension professionals' adoption and perceptions…

Acceptance of ICT-Mediated Teaching/Learning Systems for Elementary School Teachers: Moderating Effect of Cognitive Styles

ERIC Educational Resources Information Center

Wu, ChienHsing; Liu, Chia-Fang

2015-01-01

Literature has paid limited attention to the preference of instructors to adopt e-teaching/learning system (ET/LS) by considering the cognitive styles. The current study proposes a research model to describe the effects of technology acceptance behavior and innovation diffusion behavior on ET/LS adoption for elementary school instructors. A…

Relationship of Self-Efficacy to Stages of Concern in the Adoption of Innovation in Higher Education

ERIC Educational Resources Information Center

Marcu, Amber Diane

2013-01-01

In this research, it was proposed that self-efficacy is the missing underlying psychological factor in innovation diffusion models of higher education. This is based upon research conducted in the fields of innovation-diffusion in higher education, technology adoption, self-efficacy, health and behavioral change. It was theorized that if…

The effects of innovation factors on smartphone adoption among nurses in community hospitals.

PubMed

Putzer, Gavin J; Park, Yangil

2010-01-01

A relatively new mobile technological device is the smartphone-a phone with advanced features such as Windows Mobile software, access to the Internet, and other computer processing capabilities. This article investigates the decision to adopt a smartphone among healthcare professionals, specifically nurses. The study examines constructs that affect an individual's decision to adopt a smartphone by employing innovation attributes leading to perceived attitudes. We hypothesize that individual intentions to use a smartphone are mostly determined by attitudes toward using a smartphone, which in turn are affected by innovation characteristics. Innovation characteristics are factors that help explain whether a user will adopt a new technology. The study consisted of a survey disseminated to 200 practicing nurses selected from two community hospitals in the southeastern United States. In our model, the innovation characteristics of observability, compatibility, job relevance, internal environment, and external environment were significant predictors of attitude toward using a smartphone.

Forensic DNA phenotyping: Developing a model privacy impact assessment.

PubMed

Scudder, Nathan; McNevin, Dennis; Kelty, Sally F; Walsh, Simon J; Robertson, James

2018-05-01

Forensic scientists around the world are adopting new technology platforms capable of efficiently analysing a larger proportion of the human genome. Undertaking this analysis could provide significant operational benefits, particularly in giving investigators more information about the donor of genetic material, a particularly useful investigative lead. Such information could include predicting externally visible characteristics such as eye and hair colour, as well as biogeographical ancestry. This article looks at the adoption of this new technology from a privacy perspective, using this to inform and critique the application of a Privacy Impact Assessment to this emerging technology. Noting the benefits and limitations, the article develops a number of themes that would influence a model Privacy Impact Assessment as a contextual framework for forensic laboratories and law enforcement agencies considering implementing forensic DNA phenotyping for operational use. Copyright © 2018 Elsevier B.V. All rights reserved.

Examining the Moderating Effect of Individual-Level Cultural Values on Users' Acceptance of E-Learning in Developing Countries: A Structural Equation Modeling of an Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Tarhini, Ali; Hone, Kate; Liu, Xiaohui; Tarhini, Takwa

2017-01-01

In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include "subjective norms" (SN)…

Modelling the perennial energy crop market: the role of spatial diffusion

PubMed Central

Alexander, Peter; Moran, Dominic; Rounsevell, Mark D. A.; Smith, Pete

2013-01-01

Biomass produced from energy crops, such as Miscanthus and short rotation coppice is expected to contribute to renewable energy targets, but the slower than anticipated development of the UK market implies the need for greater understanding of the factors that govern adoption. Here, we apply an agent-based model of the UK perennial energy crop market, including the contingent interaction of supply and demand, to understand the spatial and temporal dynamics of energy crop adoption. Results indicate that perennial energy crop supply will be between six and nine times lower than previously published, because of time lags in adoption arising from a spatial diffusion process. The model simulates time lags of at least 20 years, which is supported empirically by the analogue of oilseed rape adoption in the UK from the 1970s. This implies the need to account for time lags arising from spatial diffusion in evaluating land-use change, climate change (mitigation or adaptation) or the adoption of novel technologies. PMID:24026474

Modelling the perennial energy crop market: the role of spatial diffusion.

PubMed

Alexander, Peter; Moran, Dominic; Rounsevell, Mark D A; Smith, Pete

2013-11-06

Biomass produced from energy crops, such as Miscanthus and short rotation coppice is expected to contribute to renewable energy targets, but the slower than anticipated development of the UK market implies the need for greater understanding of the factors that govern adoption. Here, we apply an agent-based model of the UK perennial energy crop market, including the contingent interaction of supply and demand, to understand the spatial and temporal dynamics of energy crop adoption. Results indicate that perennial energy crop supply will be between six and nine times lower than previously published, because of time lags in adoption arising from a spatial diffusion process. The model simulates time lags of at least 20 years, which is supported empirically by the analogue of oilseed rape adoption in the UK from the 1970s. This implies the need to account for time lags arising from spatial diffusion in evaluating land-use change, climate change (mitigation or adaptation) or the adoption of novel technologies.

Policy support, economic incentives and the adoption of irrigation technology in China

NASA Astrophysics Data System (ADS)

Cremades, R.; Wang, J.; Morris, J.

2014-11-01

The challenges China faces in terms of water availability in the agricultural sector are exacerbated by the sector's low irrigation efficiency. To increase irrigation efficiency, promoting irrigation technology has been emphasized by policy makers in China. The overall goal of this paper is to understand the effect of policy support and economic incentives on the adoption of irrigation technology in China. Based on a unique dataset collected at household and village levels from seven provinces in China, results indicated that household-based irrigation technology has become noticeable in almost every Chinese village. In contrast, only about half of Chinese villages have adopted community-based irrigation technology. Despite the relatively high adoption level of household-based irrigation technology at the village level, its actual adoption on crop-sown areas was not high, and it was even lower for community-based irrigation technology. The econometric analyses results revealed that policy supports via subsidies and extension services have played an important role in promoting the adoption of irrigation technology. Strikingly, the present irrigation pricing policy has played significant but contradictory roles in promoting the adoption of different types of irrigation technology. Irrigation pricing showed a positive impact on household-based irrigation technology, and a negative impact on community-based irrigation technology, possibly related to their substitution relationship, because having higher adoption of household-based irrigation technology reduce the incentives to invest in community-based irrigation technology. The paper finally concludes and discusses some policy implications.

Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology.

PubMed

Janssen, Sander J C; Porter, Cheryl H; Moore, Andrew D; Athanasiadis, Ioannis N; Foster, Ian; Jones, James W; Antle, John M

2017-07-01

Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component re-use is rare, and it is frequently difficult to apply models to generate real solutions for the agricultural sector. To improve this situation, we argue that an open, self-sustained, and committed community is required to co-develop agricultural models and associated data and tools as a common resource. Such a community can benefit from recent developments in information and communications technology (ICT). We examine how such developments can be leveraged to design and implement the next generation of data, models, and decision support tools for agricultural production systems. Our objective is to assess relevant technologies for their maturity, expected development, and potential to benefit the agricultural modeling community. The technologies considered encompass methods for collaborative development and for involving stakeholders and users in development in a transdisciplinary manner. Our qualitative evaluation suggests that as an overall research challenge, the interoperability of data sources, modular granular open models, reference data sets for applications and specific user requirements analysis methodologies need to be addressed to allow agricultural modeling to enter in the big data era. This will enable much higher analytical capacities and the integrated use of new data sources. Overall agricultural systems modeling needs to rapidly adopt and absorb state-of-the-art data and ICT technologies with a focus on the needs of beneficiaries and on facilitating those who develop applications of their models. This adoption requires the widespread uptake of a set of best practices as standard operating procedures.

Policies, economic incentives and the adoption of modern irrigation technology in China

NASA Astrophysics Data System (ADS)

Cremades, R.; Wang, J.; Morris, J.

2015-07-01

The challenges China faces in terms of water availability in the agricultural sector are exacerbated by the sector's low irrigation efficiency. To increase irrigation efficiency, promoting modern irrigation technology has been emphasized by policy makers in the country. The overall goal of this paper is to understand the effect of governmental support and economic incentives on the adoption of modern irrigation technology in China, with a focus on household-based irrigation technology and community-based irrigation technology. Based on a unique data set collected at household and village levels from seven provinces, the results indicated that household-based irrigation technology has become noticeable in almost every Chinese village. In contrast, only about half of Chinese villages have adopted community-based irrigation technology. Despite the relatively high adoption level of household-based irrigation technology at the village level, its actual adoption in crop sown areas was not high, even lower for community-based irrigation technology. The econometric analysis results revealed that governmental support instruments like subsidies and extension services policies have played an important role in promoting the adoption of modern irrigation technology. Strikingly, the present irrigation pricing policy has played a significant but contradictory role in promoting the adoption of different types of modern irrigation technology. Irrigation pricing showed a positive impact on household-based irrigation technology, and a negative impact on community-based irrigation technology, possibly related to the substitution effect that is, the higher rate of adoption of household-based irrigation technology leads to lower incentives for investment in community-based irrigation technology. The paper finally concludes and discusses some policy implications.

Healthcare technologies, quality improvement programs and hospital organizational culture in Canadian hospitals

PubMed Central

2013-01-01

Background Healthcare technology and quality improvement programs have been identified as a means to influence healthcare costs and healthcare quality in Canada. This study seeks to identify whether the ability to implement healthcare technology by a hospital was related to usage of quality improvement programs within the hospital and whether the culture within a hospital plays a role in the adoption of quality improvement programs. Methods A cross-sectional study of Canadian hospitals was conducted in 2010. The sample consisted of hospital administrators that were selected by provincial review boards. The questionnaire consisted of 3 sections: 20 healthcare technology items, 16 quality improvement program items and 63 culture items. Results Rasch model analysis revealed that a hierarchy existed among the healthcare technologies based upon the difficulty of implementation. The results also showed a significant relationship existed between the ability to implement healthcare technologies and the number of quality improvement programs adopted. In addition, culture within a hospital served a mediating role in quality improvement programs adoption. Conclusions Healthcare technologies each have different levels of difficulty. As a consequence, hospitals need to understand their current level of capability before selecting a particular technology in order to assess the level of resources needed. Further the usage of quality improvement programs is related to the ability to implement technology and the culture within a hospital. PMID:24119419

Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain.

PubMed

Ramírez-Correa, Patricio E; Arenas-Gaitán, Jorge; Rondán-Cataluña, F Javier

2015-01-01

The scope of this study was to evaluate whether the adoption of e-learning in two universities, and in particular, the relationship between the perception of external control and perceived ease of use, is different because of gender differences. The study was carried out with participating students in two different universities, one in Chile and one in Spain. The Technology Acceptance Model was used as a theoretical framework for the study. A multi-group analysis method in partial least squares was employed to relate differences between groups. The four main conclusions of the study are: (1) a version of the Technology Acceptance Model has been successfully used to explain the process of adoption of e-learning at an undergraduate level of study; (2) the finding of a strong and significant relationship between perception of external control and perception of ease of use of the e-learning platform; (3) a significant relationship between perceived enjoyment and perceived ease of use and between results demonstrability and perceived usefulness is found; (4) the study indicates a few statistically significant differences between males and females when adopting an e-learning platform, according to the tested model.

Investigating the Effect of Learning Styles in a Blended E-Learning System: An Extension of the Technology Acceptance Model (TAM)

ERIC Educational Resources Information Center

Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten

2017-01-01

This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…

The ARPA-E Innovation Model: A Glimpse into the Future of Automotive Battery Technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gur, Ilan

2014-03-07

The Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E) focuses on funding game-changing R&D aimed at reducing U.S. foreign energy dependence and emissions. ARPA-E has made a strong commitment to support breakthrough energy storage technologies that can accelerate the mass adoption of electrified vehicles. This presentation will highlight the range of ARPA-E's efforts in this area, offering a glimpse into the ARPA-E innovation model and the future of automotive battery technology.

The ARPA-E Innovation Model: A Glimpse into the Future of Automotive Battery Technology

ScienceCinema

Gur, Ilan (Program Director and Senior Advisor, ARPA-E)

2018-02-02

The Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E) focuses on funding game-changing R&D aimed at reducing U.S. foreign energy dependence and emissions. ARPA-E has made a strong commitment to support breakthrough energy storage technologies that can accelerate the mass adoption of electrified vehicles. This presentation will highlight the range of ARPA-E's efforts in this area, offering a glimpse into the ARPA-E innovation model and the future of automotive battery technology.

Effort to Accelerate MBSE Adoption and Usage at JSC

NASA Technical Reports Server (NTRS)

Wang, Lui; Izygon, Michel; Okron, Shira; Garner, Larry; Wagner, Howard

2016-01-01

This paper describes the authors' experience in adopting Model Based System Engineering (MBSE) at the NASA/Johnson Space Center (JSC). Since 2009, NASA/JSC has been applying MBSE using the Systems Modeling Language (SysML) to a number of advanced projects. Models integrate views of the system from multiple perspectives, capturing the system design information for multiple stakeholders. This method has allowed engineers to better control changes, improve traceability from requirements to design and manage the numerous interactions between components. As the project progresses, the models become the official source of information and used by multiple stakeholders. Three major types of challenges that hamper the adoption of the MBSE technology are described. These challenges are addressed by a multipronged approach that includes educating the main stakeholders, implementing an organizational infrastructure that supports the adoption effort, defining a set of modeling guidelines to help engineers in their modeling effort, providing a toolset that support the generation of valuable products, and providing a library of reusable models. JSC project case studies are presented to illustrate how the proposed approach has been successfully applied.

Decreasing the Risk of Adopting New Interactive Instructional Delivery Technologies.

ERIC Educational Resources Information Center

Dennis, Verl E.

1993-01-01

Discusses new interactive training technologies; considers risks of adopting a new technology; and presents the conceptual framework of technology life cycle analysis that provides timing information for the adoption of a new technology that should be used in addition to cost-benefit analysis and technical analysis. (LRW)

Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals

PubMed Central

Toycan, Mehmet

2018-01-01

Background E-health technology applications are essential tools of modern information technology that improve quality of healthcare delivery in hospitals of both developed and developing countries. However, despite its positive benefits, studies indicate that the rate of the e-health adoption in some developing countries is either low or underutilized. This is due in part, to barriers such as resistance from healthcare professionals, poor infrastructure, and low technical expertise among others. Objective The aim of this study is to investigate, identify and analyze the underlying factors that affect healthcare professionals decision to adopt and use e-health technology applications in developing countries, with particular reference to hospitals in Nigeria. Methods The study used a cross sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 465 healthcare professionals randomly selected from 15 hospitals in Nigeria. We used the modified Technology Acceptance Model (TAM) as the dependent variable and external factors as independent variables. The collected data was then analyzed using SPSS statistical analysis such as frequency test, reliability analysis, and correlation coefficient analysis. Results The results obtained, which correspond with findings from other researches published, indicate that perceived usefulness, belief, willingness, as well as attitude of healthcare professionals have significant influence on their intention to adopt and use the e-health technology applications. Other strategic factors identified include low literacy level and experience in using the e-health technology applications, lack of motivation, poor organizational and management policies. Conclusion The study contributes to the literature by pinpointing significant areas where findings can positively affect, or be found useful by, healthcare policy decision makers in Nigeria and other developing countries. This can help them understand their areas of priorities and weaknesses when planning for e-health technology adoption and implementation. PMID:29507830

Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals.

PubMed

Zayyad, Musa Ahmed; Toycan, Mehmet

2018-01-01

E-health technology applications are essential tools of modern information technology that improve quality of healthcare delivery in hospitals of both developed and developing countries. However, despite its positive benefits, studies indicate that the rate of the e-health adoption in some developing countries is either low or underutilized. This is due in part, to barriers such as resistance from healthcare professionals, poor infrastructure, and low technical expertise among others. The aim of this study is to investigate, identify and analyze the underlying factors that affect healthcare professionals decision to adopt and use e-health technology applications in developing countries, with particular reference to hospitals in Nigeria. The study used a cross sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 465 healthcare professionals randomly selected from 15 hospitals in Nigeria. We used the modified Technology Acceptance Model (TAM) as the dependent variable and external factors as independent variables. The collected data was then analyzed using SPSS statistical analysis such as frequency test, reliability analysis, and correlation coefficient analysis. The results obtained, which correspond with findings from other researches published, indicate that perceived usefulness, belief, willingness, as well as attitude of healthcare professionals have significant influence on their intention to adopt and use the e-health technology applications. Other strategic factors identified include low literacy level and experience in using the e-health technology applications, lack of motivation, poor organizational and management policies. The study contributes to the literature by pinpointing significant areas where findings can positively affect, or be found useful by, healthcare policy decision makers in Nigeria and other developing countries. This can help them understand their areas of priorities and weaknesses when planning for e-health technology adoption and implementation.

Building Information Modelling: Challenges and Barriers in Implement of BIM for Interior Design Industry in Malaysia

NASA Astrophysics Data System (ADS)

Hamid, A. B. Abd; Taib, M. Z. Mohd; Razak, A. H. N. Abdul; Embi, M. R.

2018-04-01

Building Information Modelling (BIM) is an innovative approach that has developed crossways the global in architecture, engineering and construction (AEC) industry. The construction industry of Malaysia has undergone a rapid development and dynamic technology adoption in advance and methods between the players industry and stakeholders. Consequently, limited technologies and devices have not been successful as it should have been. This study will be emphasizing scenarios of challenges and barriers in adopting BIM in interior design industry in Malaysia. The study was emphasizing the challenges and barriers in BIM usage from the designer’s perspective. The data are collected through the questionnaires as to identifying the barriers, knowledge, readiness and awareness and distributed to interior design firms were selected randomly. The finding of this research is to examine the barriers and causes of variables BIM usage for interior design industry in Malaysia. The outcome of this study is to identify the constraint of adoption BIM in interior design industry compare to others players in same industry.

Bt cotton and employment effects for female agricultural laborers in Pakistan.

PubMed

Kouser, Shahzad; Abedullah; Qaim, Matin

2017-01-25

The literature about economic and social impacts of Bt cotton adoption on farm households in developing countries is growing. Yet, there is still uncertainty about wider implications of this technology for rural development, including effects for landless rural laborers. Bt-related yield advantages may lead to intensified production and higher demand for labor. Building on farm survey data collected in Pakistan and using double-hurdle regression models, we analyze employment effects of Bt cotton adoption. Model estimates show that Bt adoption has increased the demand for hired labor by 55%. Manual harvesting, which is common in Pakistan, is a labor-intensive activity primarily carried out by female laborers. Accordingly, gender disaggregation shows that the employment-generating effects are particularly strong for women, who often belong to the most disadvantaged groups of rural societies. These results suggest that Bt technology can contribute to additional employment income for the poor and to more equitable rural development. Copyright © 2016 Elsevier B.V. All rights reserved.

Quantifying and Disaggregating Consumer Purchasing Behavior for Energy Systems Modeling

EPA Science Inventory

Consumer behaviors such as energy conservation, adoption of more efficient technologies, and fuel switching represent significant potential for greenhouse gas mitigation. Current efforts to model future energy outcomes have tended to use simplified economic assumptions ...

The Case of Middle and High School Chemistry Teachers Implementing Technology: Using the Concerns-Based Adoption Model to Assess Change Processes

ERIC Educational Resources Information Center

Gabby, Shwartz; Avargil, Shirly; Herscovitz, Orit; Dori, Yehudit Judy

2017-01-01

An ongoing process of reforming chemical education in middle and high schools in our country introduced the technology-enhanced learning environment (TELE) to chemistry classes. Teachers are encouraged to integrate technology into pedagogical practices in meaningful ways to promote 21st century skills; however, this effort is often hindered by…

Informal Tools in Formal Context: Adoption of Web 2.0 Technologies among Geography Student Teachers in Ghana

ERIC Educational Resources Information Center

Gyamfi, Stephen Adu

2017-01-01

Despite the popularity of Web 2.0 technologies and their educational benefits in the 21st century classroom environment, their use for teaching and learning purposes is still very limited. This study extended the technology acceptance model (TAM) to empirically examine factors that determine Ghanaian geography student teachers' acceptance of Web…

Predicting Cloud Computing Technology Adoption by Organizations: An Empirical Integration of Technology Acceptance Model and Theory of Planned Behavior

ERIC Educational Resources Information Center

Ekufu, ThankGod K.

2012-01-01

Organizations are finding it difficult in today's economy to implement the vast information technology infrastructure required to effectively conduct their business operations. Despite the fact that some of these organizations are leveraging on the computational powers and the cost-saving benefits of computing on the Internet cloud, others…

Teachers' Interpretations of the Internet. An Applied Case Study for the Evaluation of Technological Frames of Reference

ERIC Educational Resources Information Center

Camilleri, Patrick

2012-01-01

In 1994 Orlikowski and Gash articulated Technological Frames of Reference as a systematic theoretical lens to examine technological developments in organisations. A decade later, in 2004, Davidson and Pai expressed concern that while the lens was widely cited in academic discourse, the incidence and adoption of the model as an analytical framework…

Does the early adopter catch the worm or choke on it? A reflective journey of the challenges of technology adoption in a health sciences education institution.

PubMed

Botha-Ravyse, Chrisna; Blignaut, Seugnet

2017-01-01

Early adoption of technology is a struggle well known to early adopters and now to me. Since the demand to use and implement technology in health professions' education has increased, I have been led to adopt various technologies, leading to many headaches. This paper addresses my experiences in developing and implementing technology in health science classrooms in a setting not adequately equipped to do so. After reflecting on my experiences, I conclude that it is crucial that systems help innovators and early adopters as they work to develop and implement teaching and learning technology. Technical decisions should address the needs of the higher education educator. In addition, once an institution chooses a specific technological approach, such as using e-guides, there should be resources in place to support the forerunners of these initiatives.

Usage Intention Framework Model: A Fuzzy Logic Interpretation of the Classical Utaut Model

ERIC Educational Resources Information Center

Sandaire, Johnny

2009-01-01

A fuzzy conjoint analysis (FCA: Turksen, 1992) model for enhancing management decision in the technology adoption domain was implemented as an extension to the UTAUT model (Venkatesh, Morris, Davis, & Davis, 2003). Additionally, a UTAUT-based Usage Intention Framework Model (UIFM) introduced a closed-loop feedback system. The empirical evidence…

Technology Adoption in Higher Education: Overcoming Anxiety through Faculty Bootcamp

ERIC Educational Resources Information Center

Johnson, Terri; Wisniewski, Mary Ann; Kuhlemeyer, Greg; Isaacs, Gerald; Krzykowski, Jamie

2012-01-01

The reluctance to design and teach online courses in higher education is often attributed to technology anxiety in faculty. This article documents a faculty development model that has successfully helped faculty overcome this obstacle. "Bootcamps," faculty development programs held at Carroll University in Waukesha, WI, were specifically and…

Diffusion of Photovoltaic Occupational Skills Training: Awareness and Adoption in the North Carolina Community Colleges

ERIC Educational Resources Information Center

Porto, Deborah Ruth

2012-01-01

Educational administrators in the North Carolina Community College System (NCCCS) play a key role in the decisions to adopt or reject educational innovations and as a result are the gatekeepers of technology innovations reaching students. In this study the innovation-decision process and other aspects of the diffusion of innovation model are used…

Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems

NASA Astrophysics Data System (ADS)

Yoo, Hosun; Kwon, Ohbyung; Lee, Namyeon

2016-07-01

With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.

Are Physicians Likely to Adopt Emerging Mobile Technologies? Attitudes and Innovation Factors Affecting Smartphone Use in the Southeastern United States

PubMed Central

Putzer, Gavin J; Park, Yangil

2012-01-01

The smartphone has emerged as an important technological device to assist physicians with medical decision making, clinical tasks, and other computing functions. A smartphone is a device that combines mobile telecommunication with Internet accessibility as well as word processing. Moreover, smartphones have additional features such as applications pertinent to clinical medicine and practice management. The purpose of this study was to investigate the innovation factors that affect a physician's decision to adopt an emerging mobile technological device such as a smartphone. The study sample consisted of 103 physicians from community hospitals and academic medical centers in the southeastern United States. Innovation factors are elements that affect an individual's attitude toward using and adopting an emerging technology. In our model, the innovation characteristics of compatibility, job relevance, the internal environment, observability, personal experience, and the external environment were all significant predictors of attitude toward using a smartphone. These influential innovation factors presumably are salient predictors of a physician's attitude toward using a smartphone to assist with clinical tasks. Health information technology devices such as smartphones offer promise as a means to improve clinical efficiency, medical quality, and care coordination and possibly reduce healthcare costs. PMID:22737094

Technological iatrogenesis: the manifestation of inadequate organizational planning and the integration of health information technology.

PubMed

Palmieri, Patrick Albert; Peterson, Lori T; Corazzo, Luciano Bedoya

2011-01-01

The Institute of Medicine (IOM) views Health Information Technology (HIT) as an essential organizational prerequisite for the delivery of safe, reliable, and cost-effective health services. However, HIT presents the proverbial double-edged sword in generating solutions to improve system performance while facilitating the genesis of novel iatrogenic problems. Incongruent organizational processes give rise to technological iatrogenesis or the unintended consequences to system integrity and the resulting organizational outcomes potentiated by incongruent organizational-technological interfaces. HIT is a disruptive innovation for health services organizations but remains an overlooked organizational development (OD) concern. Recognizing the technology-organizational misalignments that result from HIT adoption is important for leaders seeking to eliminate sources of system instability. The Health Information Technology Iatrogenesis Model (HITIM) provides leaders with a conceptual framework from which to consider HIT as an instrument for organizational development. Complexity and Diffusion of Innovation theories support the framework that suggests each HIT adoption functions as a technological change agent. As such, leaders need to provide operational oversight to managers undertaking system change via HIT implementation. Traditional risk management tools, such as Failure Mode Effect Analysis and Root Cause Analysis, provide proactive pre- and post-implementation appraisals to verify system stability and to enhance system reliability. Reconsidering the use of these tools within the context of a new framework offers leaders guidance when adopting HIT to achieve performance improvement and better outcomes.

Entering a world of uncertainty: community nurses' engagement with information and communication technology.

PubMed

Courtney-Pratt, Helen; Cummings, Elizabeth; Turner, Paul; Cameron-Tucker, Helen; Wood-Baker, Richard; Walters, Eugene Haydn; Robinson, Andrew Lyle

2012-11-01

Achieving adoption, use, and integration of information and communication technology by healthcare clinicians in the workplace is recognized as a challenge that requires a multifaceted approach. This article explores community health nurses' engagement with information and communication technology as part of a larger research project that investigated the delivery of self-management support to people with chronic obstructive pulmonary disease. Following a survey of computer skills, participants were provided with computer training to support use of the project information system. Changes in practice were explored using action research meetings and individual semistructured interviews. Results highlight three domains that affected nurses' acceptance, utilization, and integration of information and communication technology into practice; environmental issues; factors in building capacity, confidence, and trust in the technology; and developing competence. Nurses face individual and practice challenges when attempting to integrate new processes into work activities, and the use of participatory models to support adoption is recommended.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Elia, Valerio; Gnoni, Maria Grazia, E-mail: mariagrazia.gnoni@unisalento.it; Tornese, Fabiana

Highlights: • Pay-As-You-Throw (PAYT) schemes are becoming widespread in several countries. • Economic, organizational and technological issues have to be integrated in an efficient PAYT model design. • Efficiency refers to a PAYT system which support high citizen participation rates as well as economic sustainability. • Different steps and constraints have to be evaluated from collection services to type technologies. • An holistic approach is discussed to support PAYT systems diffusion. - Abstract: Pay-As-You-Throw (PAYT) strategies are becoming widely applied in solid waste management systems; the main purpose is to support a more sustainable – from economic, environmental and socialmore » points of view – management of waste flows. Adopting PAYT charging models increases the complexity level of the waste management service as new organizational issues have to be evaluated compared to flat charging models. In addition, innovative technological solutions could also be adopted to increase the overall efficiency of the service. Unit pricing, user identification and waste measurement represent the three most important processes to be defined in a PAYT system. The paper proposes a holistic framework to support an effective design and management process. The framework defines most critical processes and effective organizational and technological solutions for supporting waste managers as well as researchers.« less

Innovation adoption processes for third party property management companies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shockman, Chris; Piette, Mary Ann

2000-07-01

Innovation adoption studies have never been applied to third party property management companies. These companies manage buildings for a fee as their primary business. Property management companies are influential in the adoption process for new technologies because they act as gatekeepers for technical information. This study analyzes radical and routine adoption process that are found in large, professionally operated property management companies. The process is explicated. The technical managers, and their role as technology gate keepers, are described. The distinction to the technical managers between routine and radical technology is that routine technologies do something in a new way andmore » radical technologies do something new. Observations concerning evaluation and adoption of information technologies are described. The findings suggest methods of successfully tailoring and introducing technologies to this market.« less

Transportation Energy Futures Series: Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephens, T.

2013-03-01

Consumer preferences are key to the adoption of new vehicle technologies. Barriers to consumer adoption include price and other obstacles, such as limited driving range and charging infrastructure; unfamiliarity with the technology and uncertainty about direct benefits; limited makes and models with the technology; reputation or perception of the technology; standardization issues; and regulations. For each of these non-cost barriers, this report estimates an effective cost and summarizes underlying influences on consumer preferences, approximate magnitude and relative severity, and assesses potential actions, based on a comprehensive literature review. While the report concludes that non-cost barriers are significant, effective cost andmore » potential market share are very uncertain. Policies and programs including opportunities for drivers to test drive advanced vehicles, general public outreach and information programs, incentives for providing charging and fueling infrastructure, and development of technology standards were examined for their ability to address barriers, but little quantitative data exists on the effectiveness of these measures. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.« less

Personal Health Record Use in the United States: Forecasting Future Adoption Levels

PubMed Central

Huerta, Timothy R

2016-01-01

Background Personal health records (PHRs) offer a tremendous opportunity to generate consumer support in pursing the triple aim of reducing costs, increasing access, and improving care quality. Moreover, surveys in the United States indicate that consumers want Web-based access to their medical records. However, concerns that consumers’ low health information literacy levels and physicians’ resistance to sharing notes will limit PHRs’ utility to a relatively small portion of the population have reduced both the product innovation and policy imperatives. Objective The purpose of our study was 3-fold: first, to report on US consumers’ current level of PHR activity; second, to describe the roles of imitation and innovation influence factors in determining PHR adoption rates; and third, to forecast future PHR diffusion uptake among US consumers under 3 scenarios. Methods We used secondary data from the Health Information National Trends Survey (HINTS) of US citizens for the survey years 2008, 2011, and 2013. Applying technology diffusion theory and Bass modeling, we evaluated 3 future PHR adoption scenarios by varying the introduction dates. Results All models displayed the characteristic diffusion S-curve indicating that the PHR technology is likely to achieve significant market penetration ahead of meaningful use goals. The best-performing model indicates that PHR adoption will exceed 75% by 2020. Therefore, the meaningful use program targets for PHR adoption are below the rates likely to occur without an intervention. Conclusions The promise of improved care quality and cost savings through better consumer engagement prompted the US Institute of Medicine to call for universal PHR adoption in 1999. The PHR products available as of 2014 are likely to meet and exceed meaningful use stage 3 targets before 2020 without any incentive. Therefore, more ambitious uptake and functionality availability should be incorporated into future goals. PMID:27030105

From Doing Digital to Being Digital: Exploring Workplace Adoption of Technology in the Age of Digital Disruption

ERIC Educational Resources Information Center

Murdoch, Donna; Fichter, Rachel

2017-01-01

In this article, it is explored how digital transformation is reshaping existing conceptions of technology adoption in the workplace and, as part of this, why the adoption of enterprise technology often lags behind consumer technology. The effect of business intractability towards technological advancement is examined. Also, the inability to…

Technology Adoption of Medical Faculty in Teaching: Differentiating Factors in Adopter Categories

ERIC Educational Resources Information Center

Zayim, Nese; Yildirim, Soner; Saka, Osman

2006-01-01

Despite large investments by higher education institutions in technology for faculty and student use, instructional technology is not being integrated into instruction in higher education institutions including medical education institutions. While the diffusion of instructional technologies has reached a saturation point among early adopters of…

How users adopt healthcare information: An empirical study of an online Q&A community.

PubMed

Jin, Jiahua; Yan, Xiangbin; Li, Yijun; Li, Yumei

2016-02-01

The emergence of social media technology has led to the creation of many online healthcare communities, where patients can easily share and look for healthcare-related information from peers who have experienced a similar problem. However, with increased user-generated content, there is a need to constantly analyse which content should be trusted as one sifts through enormous amounts of healthcare information. This study aims to explore patients' healthcare information seeking behavior in online communities. Based on dual-process theory and the knowledge adoption model, we proposed a healthcare information adoption model for online communities. This model highlights that information quality, emotional support, and source credibility are antecedent variables of adoption likelihood of healthcare information, and competition among repliers and involvement of recipients moderate the relationship between the antecedent variables and adoption likelihood. Empirical data were collected from the healthcare module of China's biggest Q&A community-Baidu Knows. Text mining techniques were adopted to calculate the information quality and emotional support contained in each reply text. A binary logistics regression model and hierarchical regression approach were employed to test the proposed conceptual model. Information quality, emotional support, and source credibility have significant and positive impact on healthcare information adoption likelihood, and among these factors, information quality has the biggest impact on a patient's adoption decision. In addition, competition among repliers and involvement of recipients were tested as moderating effects between these antecedent factors and the adoption likelihood. Results indicate competition among repliers positively moderates the relationship between source credibility and adoption likelihood, and recipients' involvement positively moderates the relationship between information quality, source credibility, and adoption decision. In addition to information quality and source credibility, emotional support has significant positive impact on individuals' healthcare information adoption decisions. Moreover, the relationships between information quality, source credibility, emotional support, and adoption decision are moderated by competition among repliers and involvement of recipients. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

The iTEaCH Implementation Model: Adopting a Best-Fit Approach to Implementing ICT in Schools

ERIC Educational Resources Information Center

Choy, Michael

2013-01-01

Schools have seen an exponential increase in the range of information communication technology (ICT) being utilised for learning and teaching over the past decade, especially with the advent of the internet. What is exciting is not just more technology, but that there are more types of technology which teachers can pick and choose from, based on…

New tuberculosis technologies: challenges for retooling and scale-up.

PubMed

Pai, M; Palamountain, K M

2012-10-01

The availability of new tools does not mean that they will be adopted, used correctly, scaled up or have public health impact. Experience to date with new diagnostics suggests that many national tuberculosis programmes (NTPs) in high-burden countries are reluctant to adopt and scale up new tools, even when these are backed by evidence and global policy recommendations. We suggest that there are several common barriers to effective national adoption and scale-up of new technologies: global policy recommendations that do not provide sufficient information for scale-up, complex decision-making processes and weak political commitment at the country level, limited engagement of and support to NTP managers, high cost of tools and poor fit with user needs, unregulated markets and inadequate business models, limited capacity for laboratory strengthening and implementation research, and insufficient advocacy and donor support. Overcoming these barriers will require enhanced country-level advocacy, resources, technical assistance and political commitment. Some of the BRICS (Brazil, Russia, India, China, South Africa) countries are emerging as early adopters of policies and technologies, and are increasing their investments in TB control. They may provide the first opportunities to fully assess the public health impact of new tools.

Who Were the Early Adopters of Dabigatran? An Application of Group-Based Trajectory Models

PubMed Central

Lo-Ciganic, Wei-Hsuan; Gellad, Walid F.; Huskamp, Haiden A.; Choudhry, Niteesh K.; Chang, Chung-Chou H.; Zhang, Ruoxin; Jones, Bobby L.; Guclu, Hasan; Richards-Shubik, Seth; Donohue, Julie M.

2016-01-01

BACKGROUND Variation in physician adoption of new medications is poorly understood. Traditional approaches (e.g., measuring time to first prescription) may mask substantial heterogeneity in technology adoption. OBJECTIVE Apply group-based trajectory models to examine the physician adoption of dabigratran, a novel anticoagulant. METHODS A retrospective cohort study using prescribing data from IMS Xponent™ on all Pennsylvania physicians regularly prescribing anticoagulants (n=3,911) and data on their characteristics from the American Medical Association Masterfile. We examined time to first dabigatran prescription as well as group-based trajectory models to identify adoption trajectories in the first 15 months. Factors associated with rapid adoption were examined using multivariate logistic regressions. OUTCOMES Trajectories of monthly share of oral anticoagulant prescriptions for dabigatran RESULTS We identified five distinct adoption trajectories: 3.7% rapidly and extensively adopted dabigatran (adopting in ≤3 months with 45% of prescriptions) and 13.4% were rapid and moderate adopters (≤3 months with 20% share). Two groups accounting for 21.6% and 16.1% of physicians, respectively, were slower to adopt (6 to 10 months post-introduction) and dabigatran accounted for <10% share. Nearly half (45.2%) of anticoagulant prescribers did not adopt dabigatran. Cardiologists were much more likely than primary care physicians to rapidly adopt (odds ratio [OR] 12.2, 95%CI: 9.27–16.1) as were younger prescribers (age 36–45 years: OR 1.49, 95%CI: 1.13–1.95, age 46–55: OR 1.34, 95%CI 1.07–1.69 vs. >55 years). CONCLUSIONS Trajectories of physician adoption of dabigatran were highly variable with significant differences across specialties. Heterogeneity in physician adoption has potential implications for the cost and effectiveness of treatment. PMID:27116109

Household-Level Determinants of Soil and Water Conservation Adoption Phases: Evidence from North-Western Ethiopian Highlands.

PubMed

Teshome, Akalu; de Graaff, Jan; Kassie, Menale

2016-03-01

Soil and water conservation (SWC) practices have been promoted in the highlands of Ethiopia during the last four decades. However, the level of adoption of SWC practices varies greatly. This paper examines the drivers of different stages of adoption of SWC technologies in the north-western highlands of Ethiopia. This study is based on a detailed farm survey among 298 households in three watersheds. Simple descriptive statistics were applied to analyze the stages of adoption. An ordered probit model was used to analyze the drivers of different stages of adoption of SWC. This model is used to analyze more than two outcomes of an ordinal dependent variable. The results indicate that sampled households are found in different phases of adoption, i.e., dis-adoption/non-adoption (18.5 %), initial adoption (30.5 %), actual adoption (20.1 %), and final adoption (30.9 %). The results of the ordered probit model show that some socio-economic and institutional factors affect the adoption phases of SWC differently. Farm labor, parcel size, ownership of tools, training in SWC, presence of SWC program, social capital (e.g., cooperation with adjacent farm owners), labor sharing scheme, and perception of erosion problem have a significant positive influence on actual and final adoption phases of SWC. In addition, the final adoption phase of SWC is positively associated with tenure security, cultivated land sizes, parcel slope, and perception on SWC profitability. Policy makers should take into consideration factors affecting (continued) adoption of SWC such as profitability, tenure security, social capital, technical support, and resource endowments (e.g., tools and labor) when designing and implementing SWC policies and programs.

Household-Level Determinants of Soil and Water Conservation Adoption Phases: Evidence from North-Western Ethiopian Highlands

NASA Astrophysics Data System (ADS)

Teshome, Akalu; de Graaff, Jan; Kassie, Menale

2016-03-01

Soil and water conservation (SWC) practices have been promoted in the highlands of Ethiopia during the last four decades. However, the level of adoption of SWC practices varies greatly. This paper examines the drivers of different stages of adoption of SWC technologies in the north-western highlands of Ethiopia. This study is based on a detailed farm survey among 298 households in three watersheds. Simple descriptive statistics were applied to analyze the stages of adoption. An ordered probit model was used to analyze the drivers of different stages of adoption of SWC. This model is used to analyze more than two outcomes of an ordinal dependent variable. The results indicate that sampled households are found in different phases of adoption, i.e., dis-adoption/non-adoption (18.5 %), initial adoption (30.5 %), actual adoption (20.1 %), and final adoption (30.9 %). The results of the ordered probit model show that some socio-economic and institutional factors affect the adoption phases of SWC differently. Farm labor, parcel size, ownership of tools, training in SWC, presence of SWC program, social capital (e.g., cooperation with adjacent farm owners), labor sharing scheme, and perception of erosion problem have a significant positive influence on actual and final adoption phases of SWC. In addition, the final adoption phase of SWC is positively associated with tenure security, cultivated land sizes, parcel slope, and perception on SWC profitability. Policy makers should take into consideration factors affecting (continued) adoption of SWC such as profitability, tenure security, social capital, technical support, and resource endowments (e.g., tools and labor) when designing and implementing SWC policies and programs.

American export control, technology spillover and innovation of Chinese pharmaceutical Industry.

PubMed

Hui, Jiang

2017-05-01

This paper was aimed to analyze whether the U.S. strict export control to China affects the technological innovation of Chinese pharmaceutical industry. This paper selected the data of technological innovation and the expenditure of high and new technology adoption in China's pharmaceutical industry from 1995 to 2014, created panel regression model to study the impact of export controls on technology spillovers and the impact of technology spillovers on innovation capacity. The results show that US export control has a significant impact on technology spillovers, but foreign technology spillovers have no significant impact on the innovation of Chinese pharmaceutical industry. Although the US export control prevented foreign technology spillovers to China, but indirectly stimulated the domestic technology spillovers to pharmaceutical manufacturing industry in China. Statistical analysis show that the correlation coefficient between innovation capacity and expenditure for high technology adoption is not significant, but the expenditure of purchasing domestic technical is essential to pharmaceutical innovation. This study shows that US export control indirectly, not directly, affected the technological innovation of China's pharmaceutical industry, affected the allocation of innovative resources, but failed to prevent the technological progress and competitiveness improvement of Chinese pharmaceutical industry.

Technology Integration in Education: An Examination of Technology Adoption in Teaching and Learning by Secondary Teachers in Minnesota

ERIC Educational Resources Information Center

Cherry, Jennifer E.

2014-01-01

The purpose of this study was to explore possible causal factors for level of teachers' adoption of technology in teaching and learning. Furthering the understanding of the factors related to teachers' technology adoption may facilitate increased levels of technology integration in the teaching and learning process. Based on previous research and…

A Hybrid Model for IT Investment Analysis: Application to RFID Adoption in the Retail Sector

ERIC Educational Resources Information Center

Kasiri, Narges A.

2010-01-01

Scope and Method of Study. One of the major obstacles in Information Technology (IT) adoption is its return on investment analysis. IT benefits in organizations are hard to measure and are usually realized over time. System dynamics approach has been used in IT literature to identify the impact of IT on business processes. Given benefits of any IT…

Explaining University Students' Effective Use of E-Learning Platforms

ERIC Educational Resources Information Center

Moreno, Valter; Cavazotte, Flavia; Alves, Isabela

2017-01-01

Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…

Fostering Personalized Learning in Science Inquiry Supported by Mobile Technologies

ERIC Educational Resources Information Center

Song, Yanjie; Wong, Lung-Hsiang; Looi, Chee-Kit

2012-01-01

In this paper, we present a mobile technology-assisted seamless learning process design where students were facilitated to develop their personalized and diversified understanding in a primary school's science topic of the life cycles of various living things. A goal-based approach to experiential learning model was adopted as the pedagogical…

Student Reactions to Classroom Management Technology: Learning Styles and Attitudes toward Moodle

ERIC Educational Resources Information Center

Chung, Christina; Ackerman, David

2015-01-01

The authors look at student perceptions regarding the adoption and usage of Moodle. Self-efficacy theory and the Technology Acceptance Model were applied to understand student reactions to instructor implementation of classroom management software Moodle. They also looked at how the learning styles of students impacted their reactions to Moodle.…

Adopting SCORM 1.2 Standards in a Courseware Production Environment

ERIC Educational Resources Information Center

Barker, Bradley

2004-01-01

The Sharable Content Object Reference Model (SCORM) is a technology framework for Web-based learning technology. Originated by the Department of Defense and accelerated by the Advanced Distributed Learning initiative SCORM was released in January of 2000 (ADL, 2003). The goals of SCORM are to decrease the cost of training, while increasing the…

Accepting uncertainty, assessing risk: decision quality in managing wildfire, forest resource values, and new technology

Treesearch

Jeffrey G. Borchers

2005-01-01

The risks, uncertainties, and social conflicts surrounding uncharacteristic wildfire and forest resource values have defied conventional approaches to planning and decision-making. Paradoxically, the adoption of technological innovations such as risk assessment, decision analysis, and landscape simulation models by land management organizations has been limited. The...

The Early Diffusion of Smart Meters in the US Electric Power Industry

NASA Astrophysics Data System (ADS)

Strong, Derek Ryan

The impact of new technologies within and across industries is only felt through their widespread diffusion, yet studies of technology diffusion are scarce compared to other aspects of the innovation process. The electric power industry is one industry that is currently undergoing substantial change as a result of both technological and institutional innovations. In this dissertation I examine the economic rationale for the adoption of smart meters by electric power utilities and the relationship between smart meters and the evolving electric power industry. I contribute to empirical research on technology diffusion by studying the early diffusion of smart meters in the US electric power industry. Using a panel dataset and econometric models, I analyze the determinants of both the interfirm and intrafirm diffusion of smart meters in the United States. The empirical findings suggest multiple drivers of smart meter diffusion. Policy and regulatory support have had a significant, positive impact on adoption but have not been the only relevant determinants. The findings also suggest that utility characteristics and some combination of learning, cost reductions, and technology standards have been important determinants affecting smart meter diffusion. I also explore the policy implications resulting from this analysis for enhancing the diffusion of smart meters. The costs and benefits of adopting smart meters have been more uncertain than initially thought, suggesting that some policy support for adoption was premature. The coordination of policies is also necessary to achieve the full benefits of using smart meters.

Higher education technological knowledge and patterns of technology adoptions in undergraduate STEM courses

NASA Astrophysics Data System (ADS)

Ali, Zarka Asghar

Identifying, examining, and understanding faculty members' technological knowledge development and the process of technology adoption in higher education is a multifaceted process. Past studies have used Rogers (1995, 2003) diffusion of innovation theoretical framework to delineate the technology adoption process. These studies, however, have frequently reported the influencing factors based on the statistical analysis such as regression analysis-based approach, and have not focused on the emerging process of technology adoptions or the developing process of technological knowledge and pedagogical knowledge. A mixed method study was designed to see how faculty members acquire different technologies and develop technological knowledge that might help them adopt technologies in their classrooms and online using different pedagogies. A sample of STEM teaching faculty members with different ranks, tenure, teaching experience, and varied degree of experience in the use of educational technologies participated in the study. A survey was designed to identify internal and external factors affecting technology adoption and its effective use in different teaching activities. To elaborate survey results, the study also included class observations as well as pre- and post-observation interviews. Online classrooms used by the faculty via Blackboard learning management system, online flipped classrooms, or other websites such as Piazza were also examined for data triangulation. The findings of the study indicate that faculty members are influenced by their own professional motivations and student learning to improve their teaching methods and to enhance student interactions and learning through the use of different educational technologies. The adoption process was identified as spreading over a period of time and it looked at how faculty members' developed their technological knowledge and pedagogical knowledge. With the recognition of the social, organizational, and professional motivational factors both expert faculty members, university administrators, and technologist could be made aware of the critical components necessary to construct and support a bottom-up or user-centric successful innovation adoption decision process. The bottom-up approach would use expert professors as change agents and educational designers that would encourage exchanges and meaningful dialogues about educational technology adoptions and effective uses of technology with pedagogy within each discipline and department.

Distributed Generation Market Demand Model (dGen): Documentation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sigrin, Benjamin; Gleason, Michael; Preus, Robert

The Distributed Generation Market Demand model (dGen) is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The National Renewable Energy Laboratory (NREL) developed dGen to analyze the key factors that will affect future market demand for distributed solar, wind, storage, and other DER technologies in the United States. The new model builds off, extends, and replaces NREL's SolarDS model (Denholm et al. 2009a), which simulates the market penetration of distributed PV only. Unlike the SolarDS model, dGen can modelmore » various DER technologies under one platform--it currently can simulate the adoption of distributed solar (the dSolar module) and distributed wind (the dWind module) and link with the ReEDS capacity expansion model (Appendix C). The underlying algorithms and datasets in dGen, which improve the representation of customer decision making as well as the spatial resolution of analyses (Figure ES-1), also are improvements over SolarDS.« less

Summary of: dental practitioners and a digital future: an initial exploration of barriers and incentives to adopting digital technologies.

PubMed

Addy, Liam

2013-12-01

Digital technologies are proliferating into dental practices. While their technical attributes have often been studied, it remains unclear why some dentists adopt and use these technologies more than others. AIM To explore the incentives for and barriers against accepting and using digital dental technologies. Eleven semi-structured qualitative interviews were conducted with experts in dentistry, dental technology and dental education in the Netherlands. Dentists' acceptance and use of digital technologies are to varying degrees driven by the perceived advantages over analogue methods, perceived influence on treatment quality, dentists' personal and professional orientation, and social influence from peers and external groups. These effects are complemented by personal and dental-practice characteristics. The findings suggest that there are large differences in motivation to adopt and use digital technologies between early adopters, late adopters and non-adopters, which should be examined in greater detail. We recommend that educators, dentists, and representatives of the dental industry who deal with the diffusion of these technologies take account of dentists' widely different attitudes to digitalisation.

Evaluation of Energy Policy Instruments for the Adoption of Renewable Energy: Case of Wind Energy in the Pacific Northwest U.S

NASA Astrophysics Data System (ADS)

Abotah, Remal

The wide use of renewable energy technologies for generating electricity can be seen as one way of meeting environmental and climate change challenges along with a progression to a low-carbon economy. A large number of policy instruments have been formed and employed to support the adoption of renewable energy technologies in the power generation sector. However, the success of these policies in achieving their goals relies on how effective they are in satisfying their targets and thus increasing renewable energy adoption. One measurement for effectiveness of policy instruments can be their contribution to the input of the process of renewable energy adoption and their effect on satisfying regional goal. The objective of this research is evaluate the effectiveness of energy policy instruments on increasing the adoption of renewable energy by developing a comprehensive evaluation model. Criteria used in this assessment depend on five perspectives that are perceived by decision makers as important for adoption process. The decision model linked the perspectives to policy targets and various energy policy instruments. These perspectives are: economic, social, political, environmental and technical. The research implemented the hierarchical decision model (HDM) to construct a generalized policy assessment framework. Data for wind energy adoption in the Pacific Northwest region were collected as a case study and application for the model. Experts' qualitative judgments were collected and quantified using the pair-wise comparison method and the final rankings and effectiveness of policy alternatives with respect to the mission were identified. Results of this research identified economic feasibility improvement of renewable energy projects as the most influential perspective and that renewable portfolio standards and tax credits are the two most effective criteria to accomplish that. The research also applied sensitivity analysis and scenario analysis to identify the effect of regional perspectives future priority changes on determining the most effective policy for this perspective. Results showed that renewable portfolio standards and tax credits were found to be the two most effective policies among the alternatives assessed. The research model and outcome can serve as policy check tool in policy making for renewable energy development in any region. Based on the overall research findings, policymakers can apply specific policy instruments to support adoption efforts for any given scenario and regional emphasis.

Examining individuals' adoption of healthcare wearable devices: An empirical study from privacy calculus perspective.

PubMed

Li, He; Wu, Jing; Gao, Yiwen; Shi, Yao

2016-04-01

Wearable technology has shown the potential of improving healthcare efficiency and reducing healthcare cost. Different from pioneering studies on healthcare wearable devices from technical perspective, this paper explores the predictors of individuals' adoption of healthcare wearable devices. Considering the importance of individuals' privacy perceptions in healthcare wearable devices adoption, this study proposes a model based on the privacy calculus theory to investigate how individuals adopt healthcare wearable devices. The proposed conceptual model was empirically tested by using data collected from a survey. The sample covers 333 actual users of healthcare wearable devices. Structural equation modeling (SEM) method was employed to estimate the significance of the path coefficients. This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy calculus). In short, if an individual's perceived benefit is higher than perceived privacy risk, s/he is more likely to adopt the device. Otherwise, the device would not be adopted; (2) individuals' perceived privacy risk is formed by health information sensitivity, personal innovativeness, legislative protection, and perceived prestige; and (3) individuals' perceived benefit is determined by perceived informativeness and functional congruence. The theoretical and practical implications, limitations, and future research directions are then discussed. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Adoption of a High-Impact Innovation in a Homogeneous Population.

PubMed

Weiss, Curtis H; Poncela-Casasnovas, Julia; Glaser, Joshua I; Pah, Adam R; Persell, Stephen D; Baker, David W; Wunderink, Richard G; Nunes Amaral, Luís A

2014-10-15

Adoption of innovations, whether new ideas, technologies, or products, is crucially important to knowledge societies. The landmark studies of adoption dealt with innovations having great societal impact (such as antibiotics or hybrid crops) but where determining the utility of the innovation was straightforward (such as fewer side effects or greater yield). Recent large-scale studies of adoption were conducted within heterogeneous populations and focused on products with little societal impact. Here, we focus on a case with great practical significance: adoption by small groups of highly trained individuals of innovations with large societal impact but for which it is impractical to determine the true utility of the innovation. Specifically, we study experimentally the adoption by critical care physicians of a diagnostic assay that complements current protocols for the diagnosis of life-threatening bacterial infections and for which a physician cannot estimate the true accuracy of the assay based on personal experience. We show through computational modeling of the experiment that infection-spreading models-which have been formalized as generalized contagion processes-are not consistent with the experimental data, while a model inspired by opinion models is able to reproduce the empirical data. Our modeling approach enables us to investigate the efficacy of different intervention schemes on the rate and robustness of innovation adoption in the real world. While our study is focused on critical care physicians, our findings have implications for other settings in education, research, and business, where small groups of highly qualified peers make decisions about the adoption of innovations whose utility is difficult if not impossible to gauge.

Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain

PubMed Central

2015-01-01

The scope of this study was to evaluate whether the adoption of e-learning in two universities, and in particular, the relationship between the perception of external control and perceived ease of use, is different because of gender differences. The study was carried out with participating students in two different universities, one in Chile and one in Spain. The Technology Acceptance Model was used as a theoretical framework for the study. A multi-group analysis method in partial least squares was employed to relate differences between groups. The four main conclusions of the study are: (1) a version of the Technology Acceptance Model has been successfully used to explain the process of adoption of e-learning at an undergraduate level of study; (2) the finding of a strong and significant relationship between perception of external control and perception of ease of use of the e-learning platform; (3) a significant relationship between perceived enjoyment and perceived ease of use and between results demonstrability and perceived usefulness is found; (4) the study indicates a few statistically significant differences between males and females when adopting an e-learning platform, according to the tested model. PMID:26465895

Learning the Hard Way? Issues in the Adoption of New Technology in Small Technology Oriented Firms

ERIC Educational Resources Information Center

Chibelushi, Caroline

2008-01-01

Purpose: The purpose of this paper is to explore, through a survey and two short case studies, the issues smaller firms face with the adoption of new technologies. Design/methodology/approach: A survey of the pressures to adopt new technologies and the existence of specialist technology skills was conducted of small ICT oriented firms in the West…

Crossing the Chasm with Classroom Response Systems

ERIC Educational Resources Information Center

Towns, Marcy H.

2010-01-01

Research and literature on the adoption of technology provides a useful lens through which to view the adoption and implementation of classroom response systems (CRS). The technology adoption life cycle describes groups of adopters in ways that are helpful in understanding the adoption and sustained implementation of CRS in chemistry departments.…

Electronic business in the home medical equipment industry.

PubMed

Wei, June; Graham, Michael J; Liu, Lai C

2011-01-01

This paper aims at developing electronic business solutions to increase value for the home medical equipment industry. First, an electronic strategic value chain model was developed for the home medical equipment industry. Second, electronic business solutions were mapped from this model. Third, the top 20 dominant companies in the home medical equipment industry were investigated to see the current adoption patterns of these electronic business solutions. The solutions will be beneficial to decision-makers in the information technology adoptions in the home medical equipment industry to increase the business values.

Parents' Mobile Technology Adoption Influences on Elementary Children's Use

ERIC Educational Resources Information Center

Eutsler, Lauren

2018-01-01

Purpose: With a high rate of mobile technology ownership in the home, it is unknown how parents' behavioral intention influences mobile technology adoption and children's informal use to support reading. The purpose of this paper is to identify 120 parents' intentions to adopt mobile technology and gather in-depth perceptions about mobile…

Technology, design and dementia: an exploratory survey of developers.

PubMed

Jiancaro, Tizneem; Jaglal, Susan B; Mihailidis, Alex

2017-08-01

Despite worldwide surges in dementia, we still know relatively little about the design of home technologies that support this population. The purpose of this study was to investigate design considerations from the perspective of developers. Participants, including technical and clinical specialists, were recruited internationally and answered web-based survey questions comprising Likert-type responses with text entry options. Developers were queried on 23 technology acceptance characteristics and 24 design practices. In all, forty developers completed the survey. Concerning "technology acceptance", cost, learnability, self-confidence (during use) and usability were deemed very important. Concerning "design practice", developers overwhelmingly valued user-centred design (UCD). In terms of general assistive technology (AT) models, these were largely unknown by technical specialists compared to clinical specialists. Recommendations based on this study include incorporating "self-confidence" into design protocols; examining the implications of "usability" and UCD in this context; and considering empathy-based design approaches to suit a diverse user population. Moreover, clinical specialists have much to offer development teams, particularly concerning the use of conceptual AT models. Implications of rehabilitation Stipulate precise usability criteria. Consider "learnability" and "self-confidence" as technology adoption criteria. Recognize the important theoretical role that clinical specialists can fulfil concerning the use of design schemas. Acknowledge the diversity amongst users with dementia, potentially adopting techniques, such as designing for "extraordinary users".

Economic Incentives for Cybersecurity: Using Economics to Design Technologies Ready for Deployment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Vishik, Claire; Sheldon, Frederick T; Ott, David

Cybersecurity practice lags behind cyber technology achievements. Solutions designed to address many problems may and do exist but frequently cannot be broadly deployed due to economic constraints. Whereas security economics focuses on the cost/benefit analysis and supply/demand, we believe that more sophisticated theoretical approaches, such as economic modeling, rarely utilized, would derive greater societal benefits. Unfortunately, today technologists pursuing interesting and elegant solutions have little knowledge of the feasibility for broad deployment of their results and cannot anticipate the influences of other technologies, existing infrastructure, and technology evolution, nor bring the solutions lifecycle into the equation. Additionally, potentially viable solutionsmore » are not adopted because the risk perceptions by potential providers and users far outweighs the economic incentives to support introduction/adoption of new best practices and technologies that are not well enough defined. In some cases, there is no alignment with redominant and future business models as well as regulatory and policy requirements. This paper provides an overview of the economics of security, reviewing work that helped to define economic models for the Internet economy from the 1990s. We bring forward examples of potential use of theoretical economics in defining metrics for emerging technology areas, positioning infrastructure investment, and building real-time response capability as part of software development. These diverse examples help us understand the gaps in current research. Filling these gaps will be instrumental for defining viable economic incentives, economic policies, regulations as well as early-stage technology development approaches, that can speed up commercialization and deployment of new technologies in cybersecurity.« less

Privacy Attitudes among Early Adopters of Emerging Health Technologies.

PubMed

Cheung, Cynthia; Bietz, Matthew J; Patrick, Kevin; Bloss, Cinnamon S

2016-01-01

Advances in health technology such as genome sequencing and wearable sensors now allow for the collection of highly granular personal health data from individuals. It is unclear how people think about privacy in the context of these emerging health technologies. An open question is whether early adopters of these advances conceptualize privacy in different ways than non-early adopters. This study sought to understand privacy attitudes of early adopters of emerging health technologies. Transcripts from in-depth, semi-structured interviews with early adopters of genome sequencing and health devices and apps were analyzed with a focus on participant attitudes and perceptions of privacy. Themes were extracted using inductive content analysis. Although interviewees were willing to share personal data to support scientific advancements, they still expressed concerns, as well as uncertainty about who has access to their data, and for what purpose. In short, they were not dismissive of privacy risks. Key privacy-related findings are organized into four themes as follows: first, personal data privacy; second, control over personal information; third, concerns about discrimination; and fourth, contributing personal data to science. Early adopters of emerging health technologies appear to have more complex and nuanced conceptions of privacy than might be expected based on their adoption of personal health technologies and participation in open science. Early adopters also voiced uncertainty about the privacy implications of their decisions to use new technologies and share their data for research. Though not representative of the general public, studies of early adopters can provide important insights into evolving attitudes toward privacy in the context of emerging health technologies and personal health data research.

Accountable care organization hospitals differ in health IT capabilities.

PubMed

Walker, Daniel M; Mora, Arthur M; Scheck McAlearney, Ann

2016-12-01

The aim of this study was to evaluate health information technology (IT) adoption in hospitals participating in accountable care organizations (ACOs) and compare this adoption to non-ACO hospitals. A cross-sectional sample of US nonfederal, acute care hospitals with data from 3 matched sources: the 2013 American Hospital Association (AHA) Annual Survey, the 2013 AHA Survey of Care Systems and Payments (CSP), and the 2014 AHA Information Technology Supplement. To compare health IT adoption in ACO- and non-ACO hospitals, we created measures of Meaningful Use (MU) Stage 1 and Stage 2 core and menu criteria, patient engagement-oriented health IT, and health information exchange (HIE) participation. Adoption was compared using both naïve and multivariate logit models. Of the 393 ACO hospitals and 810 non-ACO hospitals, a greater percentage of ACO hospitals were capable of meeting MU Stage 1 (50.9% vs 41.6%; P < .01) and Stage 2 (7.6% vs 4.8%; P < .05), having patient engagement health IT (39.8% vs 15.2%; P < .001), and participating in HIE (49.0% vs 30.1%; P < .001). In adjusted models, no difference was found between ACO and non-ACO hospital ability to meet MU Stage 1 or Stage 2, but ACO hospitals were more likely to have patient engagement health IT (odds ratio (OR), 2.20; 95% CI, 1.59-3.04) and be HIE participants (OR, 1.41; 95% CI, 1.03-1.92). ACO-participating hospitals appear to be focused more on adopting health IT that aligns with broader strategic goals rather than those that achieve MU. Aligning adoption with quality and payment reform may be a productive path forward to encourage hospital health IT adoption behavior.

Order Matters: Sequencing Scale-Realistic versus Simplified Models to Improve Science Learning

ERIC Educational Resources Information Center

Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard

2016-01-01

Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning…

Robotics in rehabilitation: technology as destiny.

PubMed

Stein, Joel

2012-11-01

Robotic aids for rehabilitation hold considerable promise but have not yet achieved widespread clinical adoption. Barriers to adoption include the limited data on efficacy, the single-purpose design of existing robots, financial considerations, and clinician lack of familiarity with this technology. Although the path forward to clinical adoption may be slow and have several false starts, the labor-saving aspect of robotic technology will ultimately ensure its adoption.

Discovery of Implementation Factors That Lead to Technology Adoption in Long-Term Care.

PubMed

Schoville, Rhonda R

2017-10-01

The current exploratory, qualitative study discovered and clarified implementation factors that led to technology adoption in long-term care (LTC). The Integrated Technology Implementation model guided the study of an electronic health record used in three LTC settings. Thirty key stakeholders (i.e., directors of nursing, nurses, and certified nurse aides) participated in focus groups or interviews. Findings indicated experiences were more similar than different among groups and facilities. Five major implementation themes supported by a variety of minor themes were identified. Implications for nursing include that leaders must be knowledgeable and committed to the change and engage staff throughout the implementation process. In addition, various communication and education strategies are required. [Journal of Gerontological Nursing, 43(10), 21-26.]. Copyright 2017, SLACK Incorporated.

Perceived Drivers and Barriers to the Adoption of eMental Health by Psychologists: The Construction of the Levels of Adoption of eMental Health Model.

PubMed

Feijt, Milou A; de Kort, Yvonne Aw; Bongers, Inge Mb; IJsselsteijn, Wijnand A

2018-04-24

The internet offers major opportunities in supporting mental health care, and a variety of technology-mediated mental and behavioral health services have been developed. Yet, despite growing evidence for the effectiveness of these services, their acceptance and use in clinical practice remains low. So far, the current literature still lacks a structured insight into the experienced drivers and barriers to the adoption of electronic mental health (eMental health) from the perspective of clinical psychologists. The aim of this study was to gain an in-depth and comprehensive understanding of the drivers and barriers for psychologists in adopting eMental health tools, adding to previous work by also assessing drivers and analyzing relationships among these factors, and subsequently by developing a structured representation of the obtained findings. The study adopted a qualitative descriptive approach consisting of in-depth semistructured interviews with clinical psychologists working in the Netherlands (N=12). On the basis of the findings, a model was constructed that was then examined through a communicative validation. In general, a key driver for psychologists to adopt eMental health is the belief and experience that it can be beneficial to them or their clients. Perceived advantages that are novel to literature include the acceleration of the treatment process, increased intimacy of the therapeutic relationship, and new treatment possibilities due to eMental health. More importantly, a relation was found between the extent to which psychologists have adopted eMental health and the particular drivers and barriers they experience. This differentiation is incorporated in the Levels of Adoption of eMental Health (LAMH) model that was developed during this study to provide a structured representation of the factors that influence the adoption of eMental health. The study identified both barriers and drivers, several of which are new to the literature and found a relationship between the nature and importance of the various drivers and barriers perceived by psychologists and the extent to which they have adopted eMental health. These findings were structured in a conceptual model to further enhance the current understanding. The LAMH model facilitates further research on the process of adopting eMental health, which will subsequently enable targeted recommendations with respect to technology, training, and clinical practice to ensure that mental health care professionals as well as their clients will benefit optimally from the current (and future) range of available eMental health options. ©Milou A Feijt, Yvonne AW de Kort, Inge MB Bongers, Wijnand A IJsselsteijn. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.04.2018.

Pervasive assistive technology for people with dementia: a UCD case

PubMed Central

Rønn-Andersen, Kristoffer V.H.; Bień, Paulina; Özkil, Ali Gürcan; Forchhammer, Birgitte Hysse; Maier, Anja M.

2016-01-01

Smart mobile and wearable technology offers exciting opportunities to support people with dementia (PwD). Its ubiquity and popularity could even benefit user adoption – a great challenge for assistive technology (AT) for PwD that calls for user-centred design (UCD) methods. This study describes a user-centred approach to developing and testing AT based on off-the-shelf pervasive technologies. A prototype is created by combining a smartphone, smartwatch and various applications to offer six support features. This is tested among five end-users (PwD) and their caregivers. Controlled usability testing was followed by field testing in a real-world context. Data is gathered from video recordings, interaction logs, system usability scale questionnaires, logbooks, application usage logs and interviews structured on the unified theory of acceptance and use of technology model. The data is analysed to evaluate usability, usefulness and user acceptance. Results show some promise for user adoption, but highlight challenges to be overcome, emphasising personalisation and familiarity as key considerations. The complete findings regarding usability issues, usefulness of support features and four identified adoption profiles are used to provide a set of recommendations for practitioners and further research. These contribute toward UCD practices for improved smart, pervasive AT for dementia. PMID:28008366

Taking stock of agroforestry adoption studies

Treesearch

Subhrendu K. Pattanayak; D. Evan Mercer; Erin Sills; Jui-Chen Yang

2003-01-01

In light of the large number of empirical studies of agroforestry adoption published during the last decade, we believe it is time to take stock and identify general determinants of agroforestry adoption. In reviewing 120 articles on adoption of agricultural and forestry technology by small holders, we find five categories of factors that explain technology adoption...

Testing the prospective evaluation of a new healthcare system

PubMed Central

Planitz, Birgit; Sanderson, Penelope; Freeman, Clinton; Xiao, Tania; Botea, Adi; Orihuela, Cristina Beltran

2012-01-01

Research into health ICT adoption suggests that the failure to understand the clinical workplace has been a major contributing factor to the failure of many computer-based clinical systems. We suggest that clinicians and administrators need methods for envisioning future use when adopting new ICT. This paper presents and evaluates a six-stage “prospective evaluation” model that clinicians can use when assessing the impact of a new electronic patient information system on a Specialist Outpatients Department (SOPD). The prospective evaluation model encompasses normative, descriptive, formative and projective approaches. We show that this combination helped health informaticians to make reasonably accurate predictions for technology adoption at the SOPD. We suggest some refinements, however, to improve the scope and accuracy of predictions. PMID:23304347

An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members.

PubMed

Jen, Wen-Yuan; Hung, Ming-Chien

2010-01-01

In an aging society, the issue of increased medical costs troubles both government agencies and families with aging parents. Many elderly people require long-term care, and the medical and financial problems associated with long-term care worry their entire family. Mobile healthcare service (MHS) has been widely applied by medical practitioners and researchers for years. Unfortunately, the elderly often fear both the technology and the cost its use incurs; hence, they seldom actively adopt MHS without the prompting and support of other family members. This study highlights this issue of long-term healthcare for the elderly and extracts the factors affecting their family's intentions in adopting MHS. Based on the integration of the Theory of Planned Behavior and the Technology Acceptance Model, the factors associated with the family's intention of the aging people toward MHS are explored. Data were collected from 200 students in the "Job Master" track in a local "Executive Master of Business Administration" program. Half of them had at least one immediate family member who was older than 65 years of age. A partial least squares (PLS) analysis shows that "attitude" significantly affected the behavioral intention of adopting MHS, and "perceived usefulness" and "perceived ease-of-use" had an indirect effect via "attitude." The PLS model explains the variance in intention (64.1%), attitude (58.1%), and perceived usefulness (33.8%). Overall, this study shows that attitude was an important determinant of MHS adoption. Gender also significantly affected the relationship between attitude and behavioral intention to adopt MHS.

Modeling the diffusion of complex innovations as a process of opinion formation through social networks.

PubMed

Assenova, Valentina A

2018-01-01

Complex innovations- ideas, practices, and technologies that hold uncertain benefits for potential adopters-often vary in their ability to diffuse in different communities over time. To explain why, I develop a model of innovation adoption in which agents engage in naïve (DeGroot) learning about the value of an innovation within their social networks. Using simulations on Bernoulli random graphs, I examine how adoption varies with network properties and with the distribution of initial opinions and adoption thresholds. The results show that: (i) low-density and high-asymmetry networks produce polarization in influence to adopt an innovation over time, (ii) increasing network density and asymmetry promote adoption under a variety of opinion and threshold distributions, and (iii) the optimal levels of density and asymmetry in networks depend on the distribution of thresholds: networks with high density (>0.25) and high asymmetry (>0.50) are optimal for maximizing diffusion when adoption thresholds are right-skewed (i.e., barriers to adoption are low), but networks with low density (<0.01) and low asymmetry (<0.25) are optimal when thresholds are left-skewed. I draw on data from a diffusion field experiment to predict adoption over time and compare the results to observed outcomes.

Technology Acceptance and Adoption of Innovative Smartphone Uses among Hospital Employees

PubMed Central

Moon, Byung Chan

2014-01-01

Objectives The number of healthcare institutions adopting smartphones continues to increase, implying that their utilization is undoubtedly gaining attention. Understanding the needs of smartphone users will provide a greater opportunity for successful information technology acceptance by expanding the scope of its utilization. This study focuses on how smartphones are accepted and utilized in hospitals and analyzes the factors influencing users' attitude, social influence, and intention of use. Methods For the study model, the researcher has mainly adopted the Theory of Reasoned Action and further modified and used the models of Technology Acceptance and Information Systems Success. To test the model empirically, a survey was conducted with 122 professionals on information development teams in Korean tertiary hospitals. Results The common smartphone usage modes were Internet searching, e-mail, scheduling, and social networking in consecutive order. Phone calls consisted of 51.4% of work-related purposes, while other functions, such as text message, Web browser, and scheduling, were mostly used for personal purposes. Costs, contents quality, innovation, ease of use, and support were shown to have statistically significant effects on user attitude, and social influence, portability, security, content quality, and innovation were significant. User attitude and social influence were both statistically significant with respect to intention of use, with user attitude greater than social influence. Conclusions The participating staff were analyzed as having strong personal faith and principles, independent from their external environment. Timely information exchanges among medical staff will facilitate appropriate communication and improved health services to patients in need. PMID:25405067

Technology Acceptance and Adoption of Innovative Smartphone Uses among Hospital Employees.

PubMed

Moon, Byung Chan; Chang, Hyejung

2014-10-01

The number of healthcare institutions adopting smartphones continues to increase, implying that their utilization is undoubtedly gaining attention. Understanding the needs of smartphone users will provide a greater opportunity for successful information technology acceptance by expanding the scope of its utilization. This study focuses on how smartphones are accepted and utilized in hospitals and analyzes the factors influencing users' attitude, social influence, and intention of use. For the study model, the researcher has mainly adopted the Theory of Reasoned Action and further modified and used the models of Technology Acceptance and Information Systems Success. To test the model empirically, a survey was conducted with 122 professionals on information development teams in Korean tertiary hospitals. The common smartphone usage modes were Internet searching, e-mail, scheduling, and social networking in consecutive order. Phone calls consisted of 51.4% of work-related purposes, while other functions, such as text message, Web browser, and scheduling, were mostly used for personal purposes. Costs, contents quality, innovation, ease of use, and support were shown to have statistically significant effects on user attitude, and social influence, portability, security, content quality, and innovation were significant. User attitude and social influence were both statistically significant with respect to intention of use, with user attitude greater than social influence. The participating staff were analyzed as having strong personal faith and principles, independent from their external environment. Timely information exchanges among medical staff will facilitate appropriate communication and improved health services to patients in need.

Smart Grid Adoption Likeliness Framework: Comparing Idaho and National Residential Consumers' Perceptions

NASA Astrophysics Data System (ADS)

Baiya, Evanson G.

New energy technologies that provide real-time visibility of the electricity grid's performance, along with the ability to address unusual events in the grid and allow consumers to manage their energy use, are being developed in the United States. Primary drivers for the new technologies include the growing energy demand, tightening environmental regulations, aging electricity infrastructure, and rising consumer demand to become more involved in managing individual energy usage. In the literature and in practice, it is unclear if, and to what extent, residential consumers will adopt smart grid technologies. The purpose of this quantitative study was to examine the relationships between demographic characteristics, perceptions, and the likelihood of adopting smart grid technologies among residential energy consumers. The results of a 31-item survey were analyzed for differences within the Idaho consumers and compared against national consumers. Analysis of variance was used to examine possible differences between the dependent variable of likeliness to adopt smart grid technologies and the independent variables of age, gender, residential ownership, and residential location. No differences were found among Idaho consumers in their likeliness to adopt smart grid technologies. An independent sample t-test was used to examine possible differences between the two groups of Idaho consumers and national consumers in their level of interest in receiving detailed feedback information on energy usage, the added convenience of the smart grid, renewable energy, the willingness to pay for infrastructure costs, and the likeliness to adopt smart grid technologies. The level of interest in receiving detailed feedback information on energy usage was significantly different between the two groups (t = 3.11, p = .0023), while the other variables were similar. The study contributes to technology adoption research regarding specific consumer perceptions and provides a framework that estimates the likeliness of adopting smart grid technologies by residential consumers. The study findings could assist public utility managers and technology adoption researchers as they develop strategies to enable wide-scale adoption of smart grid technologies as a solution to the energy problem. Future research should be conducted among commercial and industrial energy consumers to further validate the findings and conclusions of this research.

Adoption of Information Technology by Advertising Agencies.

ERIC Educational Resources Information Center

Herling, Thomas J.; Merskin, Debra

Since little empirical research has been conducted on adoption of currently available information technology by the advertising industry, a study explored the extent of advertising agencies' adoption of selected information technologies such as online database services and electronic mail. The study discussed data from earlier studies and analyzed…

Transportation Energy Futures Series. Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephens, Thomas

2013-03-01

Consumer preferences are key to the adoption of new vehicle technologies. Barriers to consumer adoption include price and other obstacles, such as limited driving range and charging infrastructure; unfamiliarity with the technology and uncertainty about direct benefits; limited makes and models with the technology; reputation or perception of the technology; standardization issues; and regulations. For each of these non-cost barriers, this report estimates an effective cost and summarizes underlying influences on consumer preferences, approximate magnitude and relative severity, and assesses potential actions, based on a comprehensive literature review. While the report concludes that non-cost barriers are significant, effective cost andmore » potential market share are very uncertain. Policies and programs including opportunities for drivers to test drive advanced vehicles, general public outreach and information programs, incentives for providing charging and fueling infrastructure, and development of technology standards were examined for their ability to address barriers, but little quantitative data exists on the effectiveness of these measures. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation. View all reports on the TEF Web page, http://www.eere.energy.gov/analysis/transportationenergyfutures/index.html.« less

Technoeconomic assumptions adopted for the development of a long-term electricity supply model for Cyprus.

PubMed

Taliotis, Constantinos; Taibi, Emanuele; Howells, Mark; Rogner, Holger; Bazilian, Morgan; Welsch, Manuel

2017-10-01

The generation mix of Cyprus has been dominated by oil products for decades. In order to conform with European Union and international legislation, a transformation of the supply system is called for. Energy system models can facilitate energy planning into the future, but a large volume of data is required to populate such models. The present data article provides information on key modelling assumptions and input data adopted with the aim of representing the electricity supply system of Cyprus in a separate research article. Data in regards to renewable energy technoeconomic characteristics and investment cost projections, fossil fuel price projections, storage technology characteristics and system operation assumptions are described in this article.

Factors Influencing Cloud-Computing Technology Adoption in Developing Countries

ERIC Educational Resources Information Center

Hailu, Alemayehu

2012-01-01

Adoption of new technology has complicating components both from the selection, as well as decision-making criteria and process. Although new technology such as cloud computing provides great benefits especially to the developing countries, it has challenges that may complicate the selection decision and subsequent adoption process. This study…

Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption

ERIC Educational Resources Information Center

Tweel, Abdeneaser

2012-01-01

High uncertainties related to cloud computing adoption may hinder IT managers from making solid decisions about adopting cloud computing. The problem addressed in this study was the lack of understanding of the relationship between factors related to the adoption of cloud computing and IT managers' interest in adopting this technology. In…

Privacy Attitudes among Early Adopters of Emerging Health Technologies

PubMed Central

Cheung, Cynthia; Bietz, Matthew J.; Patrick, Kevin; Bloss, Cinnamon S.

2016-01-01

Introduction Advances in health technology such as genome sequencing and wearable sensors now allow for the collection of highly granular personal health data from individuals. It is unclear how people think about privacy in the context of these emerging health technologies. An open question is whether early adopters of these advances conceptualize privacy in different ways than non-early adopters. Purpose This study sought to understand privacy attitudes of early adopters of emerging health technologies. Methods Transcripts from in-depth, semi-structured interviews with early adopters of genome sequencing and health devices and apps were analyzed with a focus on participant attitudes and perceptions of privacy. Themes were extracted using inductive content analysis. Results Although interviewees were willing to share personal data to support scientific advancements, they still expressed concerns, as well as uncertainty about who has access to their data, and for what purpose. In short, they were not dismissive of privacy risks. Key privacy-related findings are organized into four themes as follows: first, personal data privacy; second, control over personal information; third, concerns about discrimination; and fourth, contributing personal data to science. Conclusion Early adopters of emerging health technologies appear to have more complex and nuanced conceptions of privacy than might be expected based on their adoption of personal health technologies and participation in open science. Early adopters also voiced uncertainty about the privacy implications of their decisions to use new technologies and share their data for research. Though not representative of the general public, studies of early adopters can provide important insights into evolving attitudes toward privacy in the context of emerging health technologies and personal health data research. PMID:27832194

Malpractice liability, technology choice and negative defensive medicine.

PubMed

Feess, Eberhard

2012-04-01

We extend the theoretical literature on the impact of malpractice liability by allowing for two treatment technologies, a safe and a risky one. The safe technology bears no failure risk, but leads to patient-specific disutility since it cannot completely solve the health problems. By contrast, the risky technology (for instance a surgery) may entirely cure patients, but fail with some probability depending on the hospital's care level. Tight malpractice liability increases care levels if the risky technology is chosen at all, but also leads to excessively high incentives for avoiding the liability exposure by adopting the safe technology. We refer to this distortion toward the safe technology as negative defensive medicine. Taking the problem of negative defensive medicine seriously, the second best optimal liability needs to balance between the over-incentive for the safe technology in case of tough liability and the incentive to adopt little care for the risky technology in case of weak liability. In a model with errors in court, we find that gross negligence where hospitals are held liable only for very low care levels outperforms standard negligence, even though standard negligence would implement the first best efficient care level.

The Structures of Centralized Governmental Privacy Protection: Approaches, Models, and Analysis.

ERIC Educational Resources Information Center

Jaeger, Paul T.; McClure, Charles R.; Fraser, Bruce T.

2002-01-01

Asserts that the federal government should adopt a centralized governmental structure for the privacy protection of personal information and data. Discusses the roles of federal law, federal agencies, and the judiciary; the concept of information privacy; the impact of current technologies; and models of centralized government structures for…

The Promise of Personalized Learning

ERIC Educational Resources Information Center

Headden, Susan

2013-01-01

The Alliance Tennenbaum Family Technology High School, a charter school on L.A.'s east side, uses a hybrid model that combines online and traditional instruction and offers students three different ways to learn. In the months since it adopted the rotational model, known as Blended Learning for Alliance School Transformation, or BLAST, Tennenbaum…

An Examination of Advisor Concerns in the Era of Academic Analytics

ERIC Educational Resources Information Center

Daughtry, Jeremy J.

2017-01-01

Performance-based funding models are increasingly becoming the norm for many institutions of higher learning. Such models place greater emphasis on student retention and success metrics, for example, as requirements for receiving state appropriations. To stay competitive, universities have adopted academic analytics technologies capable of…

Adoption of a High-Impact Innovation in a Homogeneous Population

NASA Astrophysics Data System (ADS)

Weiss, Curtis H.; Poncela-Casasnovas, Julia; Glaser, Joshua I.; Pah, Adam R.; Persell, Stephen D.; Baker, David W.; Wunderink, Richard G.; Nunes Amaral, Luís A.

2014-10-01

Adoption of innovations, whether new ideas, technologies, or products, is crucially important to knowledge societies. The landmark studies of adoption dealt with innovations having great societal impact (such as antibiotics or hybrid crops) but where determining the utility of the innovation was straightforward (such as fewer side effects or greater yield). Recent large-scale studies of adoption were conducted within heterogeneous populations and focused on products with little societal impact. Here, we focus on a case with great practical significance: adoption by small groups of highly trained individuals of innovations with large societal impact but for which it is impractical to determine the true utility of the innovation. Specifically, we study experimentally the adoption by critical care physicians of a diagnostic assay that complements current protocols for the diagnosis of life-threatening bacterial infections and for which a physician cannot estimate the true accuracy of the assay based on personal experience. We show through computational modeling of the experiment that infection-spreading models—which have been formalized as generalized contagion processes—are not consistent with the experimental data, while a model inspired by opinion models is able to reproduce the empirical data. Our modeling approach enables us to investigate the efficacy of different intervention schemes on the rate and robustness of innovation adoption in the real world. While our study is focused on critical care physicians, our findings have implications for other settings in education, research, and business, where small groups of highly qualified peers make decisions about the adoption of innovations whose utility is difficult if not impossible to gauge.

Remote patient management: technology-enabled innovation and evolving business models for chronic disease care.

PubMed

Coye, Molly Joel; Haselkorn, Ateret; DeMello, Steven

2009-01-01

Remote patient management (RPM) is a transformative technology that improves chronic care management while reducing net spending for chronic disease. Broadly deployed within the Veterans Health Administration and in many small trials elsewhere, RPM has been shown to support patient self-management, shift responsibilities to non-clinical providers, and reduce the use of emergency department and hospital services. Because transformative technologies offer major opportunities to advance national goals of improved quality and efficiency in health care, it is important to understand their evolution, the experiences of early adopters, and the business models that may support their deployment.

Applying observations from technological transformations in complex adaptive systems to inform health policy on technology adoption.

PubMed

Phillips, Andrew B; Merrill, Jacqueline

2012-01-01

Many complex markets such as banking and manufacturing have benefited significantly from technology adoption. Each of these complex markets experienced increased efficiency, quality, security, and customer involvement as a result of technology transformation in their industry. Healthcare has not benefited to the same extent. We provide initial findings from a policy analysis of complex markets and the features of these transformations that can influence health technology adoption and acceptance.

Minimally invasive surgery: national trends in adoption and future directions for hospital strategy.

PubMed

Tsui, Charlotte; Klein, Rachel; Garabrant, Matthew

2013-07-01

Surgeons have rapidly adopted minimally invasive surgical (MIS) techniques for a wide range of applications since the first laparoscopic appendectomy was performed in 1983. At the helm of this MIS shift has been laparoscopy, with robotic surgery also gaining ground in a number of areas. Researchers estimated national volumes, growth forecasts, and MIS adoption rates for the following procedures: cholecystectomy, appendectomy, gastric bypass, ventral hernia repair, colectomy, prostatectomy, tubal ligation, hysterectomy, and myomectomy. MIS adoption rates are based on secondary research, interviews with clinicians and administrators involved in MIS, and a review of clinical literature, where available. Overall volume estimates and growth forecasts are sourced from The Advisory Board Company's national demand model which provides current and future utilization rate projections for inpatient and outpatient services. The model takes into account demographics (growth and aging of the population) as well as non demographic factors such as inpatient to outpatient shift, increase in disease prevalence, technological advancements, coverage expansion, and changing payment models. Surgeons perform cholecystectomy, a relatively simple procedure, laparoscopically in 96 % of the cases. Use of the robot as a tool in laparoscopy is gaining traction in general surgery and seeing particular growth within colorectal surgery. Surgeons use robotic surgery in 15 % of colectomy cases, far behind that of prostatectomy but similar to that of hysterectomy, which have robotic adoption rates of 90 and 20 %, respectively. Surgeons are using minimally invasive surgical techniques, primarily laparoscopy and robotic surgery, to perform procedures that were previously done as open surgery. As risk-based pressures mount, hospital executives will increasingly scrutinize the cost of new technology and the impact it has on patient outcomes. These changing market dynamics may thwart the expansion of new surgical techniques and heighten emphasis on competency standards.

Dairy farmers with larger herd sizes adopt more precision dairy technologies.

PubMed

Gargiulo, J I; Eastwood, C R; Garcia, S C; Lyons, N A

2018-06-01

An increase in the average herd size on Australian dairy farms has also increased the labor and animal management pressure on farmers, thus potentially encouraging the adoption of precision technologies for enhanced management control. A survey was undertaken in 2015 in Australia to identify the relationship between herd size, current precision technology adoption, and perception of the future of precision technologies. Additionally, differences between farmers and service providers in relation to perception of future precision technology adoption were also investigated. Responses from 199 dairy farmers, and 102 service providers, were collected between May and August 2015 via an anonymous Internet-based questionnaire. Of the 199 dairy farmer responses, 10.4% corresponded to farms that had fewer than 150 cows, 37.7% had 151 to 300 cows, 35.5% had 301 to 500 cows; 6.0% had 501 to 700 cows, and 10.4% had more than 701 cows. The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms. Only minor differences were detected in perception of the future of precision technologies between either herd size or farmers and service providers. In particular, service providers expected a higher adoption of automatic milking and walk over weighing systems than farmers. Currently, the adoption of precision technology has mostly been of the type that reduces labor needs; however, respondents indicated that by 2025 adoption of data capturing technology for monitoring farm system parameters would be increased. Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

User profiles and personas in the design and development of consumer health technologies.

PubMed

LeRouge, Cynthia; Ma, Jiao; Sneha, Sweta; Tolle, Kristin

2013-11-01

"The graying of the globe" has resulted in exponential rise in health care expenses, over-worked health care professionals and a growing patient base suffering from multiple chronic diseases, one of which is diabetes. Consumer health technologies (CHT) are considered important catalysts for empowering health care consumers to take a proactive role in managing their health and related costs. Adoption rate and usability of such devices among the aging is far from being satisfactory. Past studies noted the motivation for adoption by the aging is dependent on the suitability/relevance, perceived usability and anticipated benefits associated with usage of technological innovation. Traditional information technology (IT) development adopts a systematic approach without necessarily using a specific user model that personalizes the system to the aging user groups. The aging patient population has unique needs arising from progressive deterioration in both physiological and psychological abilities. These needs are often ignored in the design, development, trial and adoption of consumer health products resulting in low adoption and usage. The main objective of this research is to investigate the user-centered design (UCD), specifically user profiles and personas, as methodological tools to inform the design and development of CHT devices for an aging population. The adoption of user profile and persona has not received much attention in health care informatics research and, in particular, research involving CHT. Our work begins to fill this void in three ways. We (1) illuminate the process of developing CHT user profiles and personas for a Chinese elder population with a demanding health care needs, i.e., self-management of chronic diabetes, with the hope that the resulting profiles and personas may be used as foundational material for informing the design, development and evaluation of CHT in other similar contexts; (2) call attention to how to further enhance and complement traditional user profile and persona techniques for CHT design by integrating cognitive structures and present behavior that drive health care thinking, future behavior and demand; (3) show how the profiles and personas can be used to inform requirements, design and implementation decisions for a technology aimed at facilitating CHT adoption and diffusion for the elderly. To exemplify process and application, we use an action-research methodology, where user profiles and personas of an aging patient population were developed. The resultant profiles and personas were leveraged to improve the design, development and implementation plans of a smart phone application to assist chronically ill aging Chinese diabetic population capable of disease self-management. The results from the study show that user profile and persona can be a valuable methodological approach in capturing the conceptual model of the aging and informing the design and development decisions of CHT. The demonstration of techniques used in this study can serve as a guideline to CHT developers in bringing conceptual user modeling into the design of software interfaces targeted for users with specific health care needs. Specifically, the study provides guidance on the creation and use of profiles and personas to tap into the conceptual models of the targeted elderly population reflecting their preferences, capabilities and attitudes towards using technology in self-management care in general and the smart phone diabetes management application in particular. Insight into the mental model of the aging group has been shown to inform later stages of UCD development (e.g., the creation of prototypes and usability testing) as well as implementation and adoption strategies. The World Health Organization (WHO) predicts that by 2025, 80% of all new cases of diabetes are expected to appear in the developing countries. In fact, the number of diabetic patients in China is estimated to rise to 42.3 million in 2030 from 20.8 million in 2000. Thus, we investigate the Chinese aging population in order to demonstrate the process of developing and using user profile and persona. We hope that the resultant conceptual model of the Chinese aging diabetic population can be used in future research to guide CHT designers interested in designing health care devices for this vulnerable user group. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Access to Data Accelerates Innovation and Adoption of Geothermal

Science.gov Websites

Technologies | News | NREL Access to Data Accelerates Innovation and Adoption of Geothermal Technologies Access to Data Accelerates Innovation and Adoption of Geothermal Technologies May 18, 2018 A map of the continental U.S. is overlaid with a colored map showing deep geothermal heat potential. NREL's

TELFest: An Approach to Encouraging the Adoption of Educational Technologies

ERIC Educational Resources Information Center

Latif, Farzana

2017-01-01

Barriers to technology adoption in teaching and learning are well documented, with a corresponding body of research focused on how these can be addressed. As a way to combine a variety of these adoption strategies, the University of Sheffield developed a Technology Enhanced Learning Festival, TELFest. This annual, week-long event, emphasises the…

Essays on Adoption and Diffusion of New Technology in Supply Chains

ERIC Educational Resources Information Center

Choi, Daeheon

2012-01-01

Over the past decades, network technologies across supply chains have been introduced and promoted with the premised benefits for all participants. However industry experience with an adoption process of some technology suggests that some firms have a great amount of uncertainty in estimating the benefits of its adoption. This uncertainty will…

Supporting Instructors in Overcoming Self-Efficacy and Background Barriers to Adoption

ERIC Educational Resources Information Center

Reid, Pat

2017-01-01

Most academic technology areas of higher education institutes do not feel faculty technology adoption is adequate (Hartman (EDUCAUSE Rev 43(6), 2008)). Among the barriers to instructional technology adoption are faculty self-efficacy and background. Self-efficacy encompasses the faculty member's belief or confidence in his ability to succeed.…

Evolving provider payment models and patient access to innovative medical technology.

PubMed

Long, Genia; Mortimer, Richard; Sanzenbacher, Geoffrey

2014-12-01

Abstract Objective: To investigate the evolving use and expected impact of pay-for-performance (P4P) and risk-based provider reimbursement on patient access to innovative medical technology. Structured interviews with leading private payers representing over 110 million commercially-insured lives exploring current and planned use of P4P provider payment models, evidence requirements for technology assessment and new technology coverage, and the evolving relationship between the two topics. Respondents reported rapid increases in the use of P4P and risk-sharing programs, with roughly half of commercial lives affected 3 years ago, just under two-thirds today, and an expected three-quarters in 3 years. All reported well-established systems for evaluating new technology coverage. Five of nine reported becoming more selective in the past 3 years in approving new technologies; four anticipated that in the next 3 years there will be a higher evidence requirement for new technology access. Similarly, four expected it will become more difficult for clinically appropriate but costly technologies to gain coverage. All reported planning to rely more on these types of provider payment incentives to control costs, but didn't see them as a substitute for payer technology reviews and coverage limitations; they each have a role to play. Interviews limited to nine leading payers with models in place; self-reported data. Likely implications include a more uncertain payment environment for providers, and indirectly for innovative medical technology and future investment, greater reliance on quality and financial metrics, and increased evidence requirements for favorable coverage and utilization decisions. Increasing provider financial risk may challenge the traditional technology adoption paradigm, where payers assumed a 'gatekeeping' role and providers a countervailing patient advocacy role with regard to access to new technology. Increased provider financial risk may result in an additional hurdle to the adoption of new technology, rather than substitution of provider- for payer-based gatekeeping.

Incorporating social impact on new product adoption in choice modeing: A case study in green vehicles

DOE Office of Scientific and Technical Information (OSTI.GOV)

He, Lin; Wang, Mingxian; Chen, Wei

While discrete choice analysis is prevalent in capturing consumer preferences and describing their choice behaviors in product design, the traditional choice modeling approach assumes that each individual makes independent decisions, without considering the social impact. However, empirical studies show that choice is social - influenced by many factors beyond engineering performance of a product and consumer attributes. To alleviate this limitation, we propose a new choice modeling framework to capture the dynamic influence from social networks on consumer adoption of new products. By introducing social influence attributes into a choice utility function, social network simulation is integrated with the traditionalmore » discrete choice analysis in a three-stage process. Our study shows the need for considering social impact in forecasting new product adoption. Using hybrid electric vehicles as an example, our work illustrates the procedure of social network construction, social influence evaluation, and choice model estimation based on data from the National Household Travel Survey. Our study also demonstrates several interesting findings on the dynamic nature of new technology adoption and how social networks may influence hybrid electric vehicle adoption. (C) 2014 Elsevier Ltd. All rights reserved« less

Investigation of Pre-Service Teachers' Levels of Readiness to Technology Integration in Education

ERIC Educational Resources Information Center

Cuhadar, Cem

2018-01-01

This study aims to expose the training and experience that pre-service teachers acquire in the course of their study at schools of education in regard to the use of information and communication technology (ICT). The study adopts the survey model and its sampling is comprised of 832 pre-service teachers who attend four different faculty of…

ICT for Education: A Conceptual Framework for the Sustainable Adoption of Technology-Enhanced Learning Environments in Schools

ERIC Educational Resources Information Center

Rodriguez, Patricio; Nussbaum, Miguel; Dombrovskaia, Lioubov

2012-01-01

Currently, the use of information and communication technologies (ICT) in education does not conclusively demonstrate significant effects on learning. However, not all ICT usage models are designed to affect student outcomes. Therefore, to accurately study the impact of ICT, the concept of an educational programme supported by ICT must first be…

An Empirical Analysis of Citizens' Acceptance Decisions of Electronic-Government Services: A Modification of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model to Include Trust as a Basis for Investigation

ERIC Educational Resources Information Center

Awuah, Lawrence J.

2012-01-01

Understanding citizens' adoption of electronic-government (e-government) is an important topic, as the use of e-government has become an integral part of governance. Success of such initiatives depends largely on the efficient use of e-government services. The unified theory of acceptance and use of technology (UTAUT) model has provided a…

Health information technology vendor selection strategies and total factor productivity.

PubMed

Ford, Eric W; Huerta, Timothy R; Menachemi, Nir; Thompson, Mark A; Yu, Feliciano

2013-01-01

The aim of this study was to compare health information technology (HIT) adoption strategies' relative performance on hospital-level productivity measures. The American Hospital Association's Annual Survey and Healthcare Information and Management Systems Society Analytics for fiscal years 2002 through 2007 were used for this study. A two-stage approach is employed. First, a Malmquist model is specified to calculate hospital-level productivity measures. A logistic regression model is then estimated to compare the three HIT adoption strategies' relative performance on the newly constructed productivity measures. The HIT vendor selection strategy impacts the amount of technological change required of an organization but does not appear to have either a positive or adverse impact on technical efficiency or total factor productivity. The higher levels in technological change experienced by hospitals using the best of breed and best of suite HIT vendor selection strategies may have a more direct impact on the organization early on in the process. However, these gains did not appear to translate into either increased technical efficiency or total factor productivity during the period studied. Over a longer period, one HIT vendor selection strategy may yet prove to be more effective at improving efficiency and productivity.

How green can black be? Assessing the potential for equipping USA's existing coal fleet with carbon capture and storage

NASA Astrophysics Data System (ADS)

Patrizio, Piera; Leduc, Sylvain; Mesfun, Sennai; Yowargana, Ping; Kraxner, Florian

2017-04-01

The mitigation of adverse environmental impacts due to climate change requires the reduction of carbon dioxide emissions - also from the U.S. energy sector, a dominant source of greenhouse-gas emissions. This is especially true for the existing fleet of coal-fired power plants, accounting for roughly two-thirds of the U.S. energy sectors' total CO2 emissions. With this aim, different carbon mitigation options have been proposed in literature, such as increasing the energy efficiency, co-firing of biomass and/or the adoption of carbon capturing technologies (BECCS). However, the extent to which these solutions can be adopted depends on a suite of site specific factors and therefore needs to be evaluated on a site-specific basis. We propose a spatially explicit approach to identify candidate coal plants for which carbon capture technologies are economically feasible, according to different economic and policy frameworks. The methodology implies the adoption of IIASA's techno economic model BeWhere, which optimizes the cost of the entire BECCS supply chain, from the biomass resources to the storage of the CO2 in the nearest geological sink. The results shows that biomass co-firing appears to be the most appealing economic solution for a larger part of the existing U.S. coal fleet, while the adoption of CCS technologies is highly dependent on the level of CO2 prices as well as on local factors such as the type of coal firing technology and proximity of storage sites.

Adopting Quality Assurance Technology in Customer-Vendor Relationships: A Case Study of How Interorganizational Relationships Influence the Process

NASA Astrophysics Data System (ADS)

Heeager, Lise Tordrup; Tjørnehøj, Gitte

Quality assurance technology is a formal control mechanism aiming at increasing the quality of the product exchanged between vendors and customers. Studies of the adoption of this technology in the field of system development rarely focus on the role of the relationship between the customer and vendor in the process. We have studied how the process of adopting quality assurance technology by a small Danish IT vendor developing pharmacy software for a customer in the public sector was influenced by the relationship with the customer. The case study showed that the adoption process was shaped to a high degree by the relationship and vice versa. The prior high level of trust and mutual knowledge helped the parties negotiate mutually feasible solutions throughout the adoption process. We thus advise enhancing trust-building processes to strengthen the relationships and to balance formal control and social control to increase the likelihood of a successful outcome of the adoption of quality assurance technology in a customer-vendor relationship.

The timing and sources of information for the adoption and implementation of production innovations

NASA Technical Reports Server (NTRS)

Ettlie, J. E.

1976-01-01

Two dimensions (personal-impersonal and internal-external) are used to characterize information sources as they become important during the interorganizational transfer of production innovations. The results of three studies are reviewed for the purpose of deriving a model of the timing and importance of different information sources and the utilization of new technology. Based on the findings of two retrospective studies, it was concluded that the pattern of information seeking behavior in user organizations during the awareness stage of adoption is not a reliable predictor of the eventual utilization rate. Using the additional findings of a real-time study, an empirical model of the relative importance of information sources for successful user organizations is presented. These results are extended and integrated into a theoretical model consisting of a time-profile of successful implementations and the relative importance of four types of information sources during seven stages of the adoption-implementation process.

In silico clinical trials: concepts and early adoptions.

PubMed

Pappalardo, Francesco; Russo, Giulia; Tshinanu, Flora Musuamba; Viceconti, Marco

2018-06-02

Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is historically slow in adopting technological innovation, compared with other industrial sectors. In recent years, new approaches in modelling and simulation have started to provide important insights in biomedicine, opening the way for their potential use in the reduction, refinement and partial substitution of both animal and human experimentation. In light of this evidence, the European Parliament and the United States Congress made similar recommendations to their respective regulators to allow wider use of modelling and simulation within the regulatory process. In the context of in silico medicine, the term 'in silico clinical trials' refers to the development of patient-specific models to form virtual cohorts for testing the safety and/or efficacy of new drugs and of new medical devices. Moreover, it could be envisaged that a virtual set of patients could complement a clinical trial (reducing the number of enrolled patients and improving statistical significance), and/or advise clinical decisions. This article will review the current state of in silico clinical trials and outline directions for a full-scale adoption of patient-specific modelling and simulation in the regulatory evaluation of biomedical products. In particular, we will focus on the development of vaccine therapies, which represents, in our opinion, an ideal target for this innovative approach.

Essays on competition in electricity markets

NASA Astrophysics Data System (ADS)

Bustos Salvagno, Ricardo Javier

The first chapter shows how technology decisions affect entry in commodity markets with oligopolistic competition, like the electricity market. I demonstrate an entry deterrence effect that works through cost uncertainty. Technology's cost uncertainty affects spot market expected profits through forward market trades. Therefore, incentives to engage in forward trading shape firms' decisions on production technologies. I show that high-cost but low-risk technologies are adopted by risk-averse incumbents to deter entry. Strategic technology adoption can end in a equilibrium where high-cost technologies prevail over low-cost but riskier ones. In the case of incumbents who are less risk-averse than entrants, entry deterrence is achieved by choosing riskier technologies. The main results do not depend on who chooses their technology first. Chapter two examines the Chilean experience on auctions for long-term supply contracts in electricity markets from 2006 to 2011. Using a divisible-good auction model, I provide a theoretical framework that explains bidding behavior in terms of expected spot prices and contracting positions. The model is extended to include potential strategic behavior on contracting decisions. Empirical estimations confirm the main determinants of bidding behavior and show heterogeneity in the marginal cost of over-contracting depending on size and incumbency. Chapter three analyzes the lag in capacity expansion in the Chilean electricity market from 2000 to 2004. Regarded as a result of regulatory uncertainty, the role of delays in the construction of a large hydro-power plant has been overlooked by the literature. We argue that those delays postponed projected investment and gave small windows of opportunity that only incumbents could take advantage of. We are able to retrace the history of investments through real-time information from the regulator's reports and a simple model enables us to explain the effect of those delays on suggested and under-construction investments.

Applying the Technology Acceptance Model and flow theory to Cyworld user behavior: implication of the Web2.0 user acceptance.

PubMed

Shin, Dong-Hee; Kim, Won-Yong; Kim, Won-Young

2008-06-01

This study explores attitudinal and behavioral patterns when using Cyworld by adopting an expanded Technology Acceptance Model (TAM). A model for Cyworld acceptance is used to examine how various factors modified from the TAM influence acceptance and its antecedents. This model is examined through an empirical study involving Cyworld users using structural equation modeling techniques. The model shows reasonably good measurement properties and the constructs are validated. The results not only confirm the model but also reveal general factors applicable to Web2.0. A set of constructs in the model can be the Web2.0-specific factors, playing as enhancing factor to attitudes and intention.

Increased Use of Care Management Processes and Expanded Health Information Technology Functions by Practice Ownership and Medicaid Revenue.

PubMed

Rodriguez, Hector P; McClellan, Sean R; Bibi, Salma; Casalino, Lawrence P; Ramsay, Patricia P; Shortell, Stephen M

2016-06-01

Practice ownership and Medicaid revenue may affect the use of care management processes (CMPs) for chronic conditions and expansion of health information technology (HIT). Using a national cohort of medical practices, we compared the use of CMPs and HIT from 2006/2008 to 2013 by practice ownership and level of Medicaid revenue. Poisson regression models estimated changes in CMP use, and linear regression estimated changes in HIT, by practice ownership and Medicaid patient revenue, controlling for other practice characteristics. Compared with physician-owned practices, system-owned practices adopted a greater number of CMPs and HIT functions over time (p < .001). High Medicaid revenue (≥30.0%) was associated with less adoption of CMPs (p < .001) and HIT (p < .01). System-owned practices (p < .001) and community health centers (p < .001) with high Medicaid revenue were more likely than physician-owned practices with high Medicaid revenue to adopt CMPs over time. System and community health center ownership appear to help high Medicaid practices overcome CMP adoption constraints. © The Author(s) 2015.

[Factors affecting the adoption of ICT tools in experiments with bioinformatics in biopharmaceutical organizations: a case study in the Brazilian Cancer Institute].

PubMed

Pitassi, Claudio; Gonçalves, Antonio Augusto; Moreno Júnior, Valter de Assis

2014-01-01

The scope of this article is to identify and analyze the factors that influence the adoption of ICT tools in experiments with bioinformatics at the Brazilian Cancer Institute (INCA). It involves a descriptive and exploratory qualitative field study. Evidence was collected mainly based on in-depth interviews with the management team at the Research Center and the IT Division. The answers were analyzed using the categorical content method. The categories were selected from the scientific literature and consolidated in the Technology-Organization-Environment (TOE) framework created for this study. The model proposed made it possible to demonstrate how the factors selected impacted INCA´s adoption of bioinformatics systems and tools, contributing to the investigation of two critical areas for the development of the health industry in Brazil, namely technological innovation and bioinformatics. Based on the evidence collected, a research question was posed: to what extent can the alignment of the factors related to the adoption of ICT tools in experiments with bioinformatics increase the innovation capacity of a Brazilian biopharmaceutical organization?

An Empirical Analysis of the Determinants of Mobile Instant Messaging Appropriation in University Learning

ERIC Educational Resources Information Center

Bere, Aaron; Rambe, Patient

2016-01-01

Research on technology adoption often profiles device usability (such as perceived usefulness) and user dispositions (such as perceived ease of use) as the prime determinants of effective technology adoption. Since any process of technology adoption cannot be conceived out of its situated contexts, this paper argues that any pre-occupation with…

Humanists Revisited: A Longitudinal Look at the Adoption of Information Technology.

ERIC Educational Resources Information Center

Wiberley, Stephen E., Jr.; Jones, William G.

1994-01-01

Reports on a longitudinal study of the adoption of technology by 11 humanists. The study corroborates the tendency of humanists to adopt technology more slowly and provides insight into why. The distinctiveness of the primary evidence used by humanists--i.e., the documents and artifacts created by others--is emphasized. (32 references) (KRN)

Subjective Norms as a Driver of Mass Communication Students' Intentions to Adopt New Media Production Technologies

ERIC Educational Resources Information Center

Hopp, Toby M.

2013-01-01

In this study, the impact of subjective norms on mass communication students' intentions to adopt new media production technologies was explored. The results indicated that subjective norms play an instrumental role in explaining behavioral intentions to adopt new media technologies. Moreover, the data indicated that public relations students…

Factors Influencing New Entrant Dairy Farmer's Decision-Making Process around Technology Adoption

ERIC Educational Resources Information Center

McDonald, Roberta; Heanue, Kevin; Pierce, Karina; Horan, Brendan

2016-01-01

Purpose: The aims of this paper are to (1) evaluate the main factors influencing grazing system technology adoption among new entrant (NE) dairy farmers within Europe and the Irish pasture-based dairy industry, and (2) to determine the extent to which economic factors influence decision-making around technology adoption and use among NEs to the…

Organizational Influences in Technology Adoption Decisions: A Case Study of Digital Libraries

ERIC Educational Resources Information Center

Oguz, Fatih

2016-01-01

The purpose of this study was to understand the organizational level decision factors in technology adoption in the context of digital libraries. A qualitative case study approach was used to investigate the adoption of a specific technology, XML-based Web services, in digital libraries. Rogers' diffusion of innovations and Wenger's communities of…

Adoption of Aquaculture Technology by Fish Farmers in Imo State of Nigeria

ERIC Educational Resources Information Center

Ike, Nwachukwu; Roseline, Onuegbu

2007-01-01

This paper evaluated the level of adoption of aquaculture technology extended to farmers in Imo State, Nigeria. To improve aquaculture practice in Nigeria, a technology package was developed and disseminated to farmers in the state. This package included ten practices that the farmers were supposed to adopt. Eighty-two respondents were randomly…

University Staff Perspectives on Change Management Strategies in Student Information System Adoption

ERIC Educational Resources Information Center

Tsang-Kosma, Winnie W.

2010-01-01

The process of information technology adoption and use is critical to deriving benefits of information technology. Thus, one of the most challenging issues in information systems research is to understand how people have experienced the adoption process that may lead to insights to why they accept or reject the information technology (Davis,…

The influence of economic incentives and regulatory factors on the adoption of treatment technologies: a case study of technologies used to treat heart attacks.

PubMed

Bech, Mickael; Christiansen, Terkel; Dunham, Kelly; Lauridsen, Jørgen; Lyttkens, Carl Hampus; McDonald, Kathryn; McGuire, Alistair

2009-10-01

The Technological Change in Health Care Research Network collected unique patient-level data on three procedures for treatment of heart attack patients (catheterization, coronary artery bypass grafts and percutaneous transluminal coronary angioplasty) for 17 countries over a 15-year period to examine the impact of economic and institutional factors on technology adoption. Specific institutional factors are shown to be important to the uptake of these technologies. Health-care systems characterized as public contract systems and reimbursement systems have higher adoption rates than public-integrated health-care systems. Central control of funding of investments is negatively associated with adoption rates and the impact is of the same magnitude as the overall health-care system classification. GDP per capita also has a strong role in initial adoption. The impact of income and institutional characteristics on the utilization rates of the three procedures diminishes over time.

The innovative characteristics and obstruction of technology adoption for management of integrated plants (PTT) of corn in Gowa Regency Indonesia

NASA Astrophysics Data System (ADS)

Jamil, M. H.; Musa, Y.; Tenriawaru, A. N.; Rahayu, N. E.

2018-05-01

The research aimed to analyze the effects of the farmer’s characteristic, innovation characteristics, and the obstruction faced in the technology adoption for the management of integrated plants corn in Gowa Regency. The method used was explanative in character. Respondents comprised 80 corn farmers chosen randomly. Data were collected using the interviews method which were then quantified using likers scale. The data was analyzed by logistic binary regression. The research results indicated that the farmer’s characteristics which consisted of the age, education, experience, and the land area had no significant effect on the technology adoption of maize integrated crops management (PTT). The obstruction of the adoption, which consisted of the limited capital, availability of inputs, and intensity of counseling had a significant effect on the adoption of maize integrated crops management. While the farmer’s knowledge had no significant effect on the adoption of maize integrated crops management. The variable of the limited capital had a positive coefficient, the more available the farmer’s capital the higher was the chance of farmers to adopt technology integrated crops management. The higher of the extension intensity, the higher of farmer’s chance to adopt the technology of the maize integrated corps management.

The Effect of Absorptive Capacity Perceptions on the Context Aware Ubiquitous Learning Acceptance

ERIC Educational Resources Information Center

Lin, Hsiu-Fen

2013-01-01

Purpose: The purpose of this study is to examine the impact of absorptive capacity (understanding, assimilating and applying u-learning) perceptions on behavioral intention to use u-learning through path analysis and applies the technology acceptance model (TAM) as a theoretical foundation, simultaneously improving the model by adopting prior…

The road map towards providing a robust Raman spectroscopy-based cancer diagnostic platform and integration into clinic

NASA Astrophysics Data System (ADS)

Lau, Katherine; Isabelle, Martin; Lloyd, Gavin R.; Old, Oliver; Shepherd, Neil; Bell, Ian M.; Dorney, Jennifer; Lewis, Aaran; Gaifulina, Riana; Rodriguez-Justo, Manuel; Kendall, Catherine; Stone, Nicolas; Thomas, Geraint; Reece, David

2016-03-01

Despite the demonstrated potential as an accurate cancer diagnostic tool, Raman spectroscopy (RS) is yet to be adopted by the clinic for histopathology reviews. The Stratified Medicine through Advanced Raman Technologies (SMART) consortium has begun to address some of the hurdles in its adoption for cancer diagnosis. These hurdles include awareness and acceptance of the technology, practicality of integration into the histopathology workflow, data reproducibility and availability of transferrable models. We have formed a consortium, in joint efforts, to develop optimised protocols for tissue sample preparation, data collection and analysis. These protocols will be supported by provision of suitable hardware and software tools to allow statistically sound classification models to be built and transferred for use on different systems. In addition, we are building a validated gastrointestinal (GI) cancers model, which can be trialled as part of the histopathology workflow at hospitals, and a classification tool. At the end of the project, we aim to deliver a robust Raman based diagnostic platform to enable clinical researchers to stage cancer, define tumour margin, build cancer diagnostic models and discover novel disease bio markers.

Portfolio Optimization of Nanomaterial Use in Clean Energy Technologies.

PubMed

Moore, Elizabeth A; Babbitt, Callie W; Gaustad, Gabrielle; Moore, Sean T

2018-04-03

While engineered nanomaterials (ENMs) are increasingly incorporated in diverse applications, risks of ENM adoption remain difficult to predict and mitigate proactively. Current decision-making tools do not adequately account for ENM uncertainties including varying functional forms, unique environmental behavior, economic costs, unknown supply and demand, and upstream emissions. The complexity of the ENM system necessitates a novel approach: in this study, the adaptation of an investment portfolio optimization model is demonstrated for optimization of ENM use in renewable energy technologies. Where a traditional investment portfolio optimization model maximizes return on investment through optimal selection of stock, ENM portfolio optimization maximizes the performance of energy technology systems by optimizing selective use of ENMs. Cumulative impacts of multiple ENM material portfolios are evaluated in two case studies: organic photovoltaic cells (OPVs) for renewable energy and lithium-ion batteries (LIBs) for electric vehicles. Results indicate ENM adoption is dependent on overall performance and variance of the material, resource use, environmental impact, and economic trade-offs. From a sustainability perspective, improved clean energy applications can help extend product lifespans, reduce fossil energy consumption, and substitute ENMs for scarce incumbent materials.

Medical Representatives' Intention to Use Information Technology in Pharmaceutical Marketing.

PubMed

Kwak, Eun-Seon; Chang, Hyejung

2016-10-01

Electronic detailing (e-detailing), the use of electronic devices to facilitate sales presentations to physicians, has been adopted and expanded in the pharmaceutical industry. To maximize the potential outcome of e-detailing, it is important to understand medical representatives (MRs)' behavior and attitude to e-detailing. This study investigates how information technology devices such as laptop computers and tablet PCs are utilized in pharmaceutical marketing, and it analyzes the factors influencing MRs' intention to use devices. This study has adopted and modified the theory of Roger's diffusion of innovation model and the technology acceptance model. To test the model empirically, a questionnaire survey was conducted with 221 MRs who were working in three multinational or eleven domestic pharmaceutical companies in Korea. Overall, 28% and 35% of MRs experienced using laptop computers and tablet PCs in pharmaceutical marketing, respectively. However, the rates were different across different groups of MRs, categorized by age, education level, position, and career. The results showed that MRs' intention to use information technology devices was significantly influenced by perceived usefulness in general. Perceived ease of use, organizational and individual innovativeness, and several MR characteristics were also found to have significant impacts. This study provides timely information about e-detailing devices to marketing managers and policy makers in the pharmaceutical industry for successful marketing strategy development by understanding the needs of MRs' intention to use information technology. Further in-depth study should be conducted to understand obstacles and limitations and to improve the strategies for better marketing tools.

CoCAR: An Online Synchronous Training Model for Empowering ICT Capacity of Teachers of Chinese as a Foreign Language

ERIC Educational Resources Information Center

Lan, Yu-Ju; Chang, Kuo-En; Chen, Nian-Shing

2012-01-01

In response to the need to cultivate pre-service Chinese as a foreign language (CFL) teachers' information and communication technology (ICT) competency in online synchronous environments, this research adopted a three-stage cyclical model named "cooperation-based cognition, action, and reflection" (CoCAR). The model was implemented in an 18-week…

Information technology to support patient engagement: where do we stand and where can we go?

PubMed

Walker, Daniel M; Sieck, Cynthia J; Menser, Terri; Huerta, Timothy R; Scheck McAlearney, Ann

2017-11-01

Given the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE). Using an ontology mapping approach, items from the American Hospital Association Information Technology Supplement were mapped to defined levels and categories within the PE Framework. Points were assigned for each health information technology function based upon the level of engagement it encompassed to create a PE-information technology (PE-IT) score. Scores were divided into tertiles, and hospital characteristics were compared across tertiles. An ordered logit model was used to estimate the effect of characteristics on the adjusted odds of being in the highest tertile of PE-IT scores. Thirty-six functions were mapped to specific levels and categories of the PE Framework, and adoption of each item ranged from 23.5 to 96.7%. Hospital characteristics associated with being in the highest tertile of PE-IT scores included medium and large bed size (relative to small), nonprofit (relative to government nonfederal), teaching hospital, system member, Midwest and South regions, and urban location. Hospital adoption of PE-oriented technology remains varied, suggesting that hospitals are considering how technology can create partnerships with patients. However, PE functionalities that facilitate higher levels of engagement are lacking, suggesting room for improvement. While hospitals have reached modest levels of adoption of PE technologies, consistent monitoring of this capacity can identify opportunities to use technology to facilitate engagement. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Differences in influence patterns between groups predicting the adoption of a solar disinfection technology for drinking water in Bolivia.

PubMed

Moser, Stephanie; Mosler, Hans-Joachim

2008-08-01

The lack of safe drinking water is one of the major problems faced by developing countries. The consequences of contaminated water are diseases such as diarrhea, one of the main causes of infant mortality. Because of its simplicity, solar water-disinfection technology provides a good way of treating water at the household level. Despite its obvious advantages and considerable promotional activities, this innovation has had rather a slow uptake. We conducted a field survey in which 644 households in Bolivia were interviewed in order to gain insights on motivations that resulted in adopting the technology. The aim was to examine possible differences in the predictors for adopting this technology during the diffusion process using the theory of innovation diffusion. Our findings indicate that early adoption was predicted by increased involvement in the topic of drinking water and that adoption in the middle of the diffusion process was predicted by increased involvement by opinion leaders and by recognition of a majority who supported the technology. Finally, late adoption was predicted by recognition that a majority had already adopted. Suggestions for future promotional strategies are outlined.

Sensors, nano-electronics and photonics for the Army of 2030 and beyond

NASA Astrophysics Data System (ADS)

Perconti, Philip; Alberts, W. C. K.; Bajaj, Jagmohan; Schuster, Jonathan; Reed, Meredith

2016-02-01

The US Army's future operating concept will rely heavily on sensors, nano-electronics and photonics technologies to rapidly develop situational understanding in challenging and complex environments. Recent technology breakthroughs in integrated 3D multiscale semiconductor modeling (from atoms-to-sensors), combined with ARL's Open Campus business model for collaborative research provide a unique opportunity to accelerate the adoption of new technology for reduced size, weight, power, and cost of Army equipment. This paper presents recent research efforts on multi-scale modeling at the US Army Research Laboratory (ARL) and proposes the establishment of a modeling consortium or center for semiconductor materials modeling. ARL's proposed Center for Semiconductor Materials Modeling brings together government, academia, and industry in a collaborative fashion to continuously push semiconductor research forward for the mutual benefit of all Army partners.

Technological substitution: the potential of plastic as primary packaging material in the US brewing industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Roeleveld, J.J.

1985-01-01

This dissertation develops a general model of technological substitution that could be of help to planners and decision makers in industry who are faced with the problems created by continual technological change. The model as presented differs from existing models in the theoretical literature because of its emphasis on analyzing current and potential technologies in an attempt to understand the underlying factors contributing to technological substitution. The general model and the cost model that is part of it belong to that step in the interactive planning cycle called the formulation of the mess. The methodology underlying the cost model ismore » a combination of life-cycle analysis (i.e., from raw materials in nature, through all intermediate products, to waste returned to the environment) and resoumetrics, which is an engineering approach to measuring all physical inputs required to produce a certain level of output. The models are illustrated with a specific field of interest: substitution of primary packaging technologies in the US brewing industry. The physical costs of packaging beer in different containers are compared. Strategic considerations for a brewery deciding to adopt plastic packaging technology are discussed. Attention is given to another potential fruitful application of the model in the field of technology transfer to developing countries.« less

An Empirical Study of Factors Affecting Mobile Wireless Technology Adoption for Promoting Interactive Lectures in Higher Education

ERIC Educational Resources Information Center

Gan, Chin Lay; Balakrishnan, Vimala

2016-01-01

Use of mobile technology is widespread, particularly among the younger generation. There is a huge potential for utilizing such technology in lecture classes with large numbers of students, serving as an interaction tool between the students and lecturers. The challenge is to identify significant adoption factors to ensure effective adoption of…

Agricultural Innovation Systems and Farm Technology Adoption: Findings from a Study of the Ghanaian Plantain Sector

ERIC Educational Resources Information Center

Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann

2018-01-01

Purpose: We assess farm technology adoption in an integrated analysis of social networks and innovation in plantain production in Ghana. The paper explores the strength of social networks in the agricultural innovation systems (AISs) and the effect of AISs on adoption of improved farm technology. Methodology/Approach: The paper uses social network…

Factors that influence the rejection of new manufacturing technologies and concepts

Treesearch

Kristen G. Hoff; Timothy J. Greene; Timothy J. Greene

1998-01-01

New manufacturing technologies or concepts often are adopted to improve a firm's competitive advantage over other firms in the same industry. The benefits that a firm expects to receive as a result of that adoption are presumed to outweigh the risk factors that accompany the adoption of a new manufacturing technology. Much research has been conducted to...

Multi-level assessment protocol (MAP) for adoption in multi-site clinical trials

PubMed Central

Guydish, J.; Manser, S.T.; Jessup, M.; Tajima, B.; Sears, C.; Montini, T.

2010-01-01

The National Institute on Drug Abuse (NIDA) Clinical Trials Network (CTN) is intended to test promising drug abuse treatment models in multi-site clinical trials, and to support adoption of new interventions into clinical practice. Using qualitative research methods we asked: How might the technology of multi-site clinical trials be modified to better support adoption of tested interventions? A total of 42 participants, representing 8 organizational levels ranging from clinic staff to clinical trial leaders, were interviewed about their role in the clinical trial, its interactions with clinics, and intervention adoption. Among eight clinics participating in the clinical trial, we found adoption of the tested intervention in one clinic only. In analysis of interview data we identified four conceptual themes which are likely to affect adoption and may be informative in future multi-site clinical trials. We offer the conclusion that planning for adoption in the early stages of protocol development will better serve the aim of integrating new interventions into practice. PMID:20890376

Key issues and technical route of cyber physical distribution system

NASA Astrophysics Data System (ADS)

Zheng, P. X.; Chen, B.; Zheng, L. J.; Zhang, G. L.; Fan, Y. L.; Pei, T.

2017-01-01

Relying on the National High Technology Research and Development Program, this paper introduced the key issues in Cyber Physical Distribution System (CPDS), mainly includes: composite modelling method and interaction mechanism, system planning method, security defence technology, distributed control theory. Then on this basis, the corresponding technical route is proposed, and a more detailed research framework along with main schemes to be adopted is also presented.

Understanding the Adoption of TELEs--The Importance of Management

ERIC Educational Resources Information Center

Christiansen, Ellen; Nyvang, Tom

2006-01-01

For a TELE to become adopted by the vast majority of individual learners as a tool for learning, adoption at the institutional level must be considered, because the vast majority of a population of technology users depends on external stimuli to adopt the technology. This article analyses a case where a social simulation game, a prize-winning…

Resistance is futile: but it is slowing the pace of EHR adoption nonetheless.

PubMed

Ford, Eric W; Menachemi, Nir; Peterson, Lori T; Huerta, Timothy R

2009-01-01

The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. (1) The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a "Universal EHR Adoption" by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. EHR adoption parameters--external and internal coefficients of influence--are estimated using bass diffusion models and future adoption rates are projected. Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.

Clinician Attitudes Toward Adoption of Pediatric Emergency Telemedicine in Rural Hospitals.

PubMed

Ray, Kristin N; Felmet, Kathryn A; Hamilton, Melinda F; Kuza, Courtney C; Saladino, Richard A; Schultz, Brian R; Watson, R Scott; Kahn, Jeremy M

2017-04-01

Although there is growing evidence regarding the utility of telemedicine in providing care for acutely ill children in underserved settings, adoption of pediatric emergency telemedicine remains limited, and little data exist to inform implementation efforts. Among clinician stakeholders, we examined attitudes regarding pediatric emergency telemedicine, including barriers to adoption in rural settings and potential strategies to overcome these barriers. Using a sequential mixed-methods approach, we first performed semistructured interviews with clinician stakeholders using thematic content analysis to generate a conceptual model for pediatric emergency telemedicine adoption. Based on this model, we then developed and fielded a survey to further examine attitudes regarding barriers to adoption and strategies to improve adoption. Factors influencing adoption of pediatric emergency telemedicine were identified and categorized into 3 domains: contextual factors (such as regional geography, hospital culture, and individual experience), perceived usefulness of pediatric emergency telemedicine, and perceived ease of use of pediatric emergency telemedicine. Within the domains of perceived usefulness and perceived ease of use, belief in the relative advantage of telemedicine was the most pronounced difference between telemedicine proponents and nonproponents. Strategies identified to improve adoption of telemedicine included patient-specific education, clinical protocols for use, decreasing response times, and simplifying the technology. More effective adoption of pediatric emergency telemedicine among clinicians will require addressing perceived usefulness and perceived ease of use in the context of local factors. Future studies should examine the impact of specific identified strategies on adoption of pediatric emergency telemedicine and patient outcomes in rural settings.

Hybrid modelling for ATES planning and operation in the Utrecht city centre

NASA Astrophysics Data System (ADS)

Jaxa-Rozen, Marc; Bloemendal, Martin; Kwakkel, Jan; Rostampour, Vahab

2016-04-01

Aquifer Thermal Energy Storage (ATES) systems can significantly reduce the energy use and greenhouse gas emissions of buildings in temperate climates. However, the rapid adoption of these systems has evidenced a number of emergent issues with the operation and management of urban ATES systems, which require careful spatial planning to avoid thermal interferences or conflicts with other subsurface functions. These issues have become particularly relevant in the Netherlands, which are currently the leading market for ATES (Bloemendal et al., 2015). In some urban areas of the country, the adoption of ATES technology is thus becoming limited by the available subsurface space. This scarcity is partly caused by current approaches to ATES planning; as such, static permits tend to overestimate pumping rates and yield excessive safety margins, which in turn hamper the energy savings which could be realized by new systems. These aspects are strongly influenced by time-dependent dynamics for the adoption of ATES systems by building owners and operators, and by the variation of ATES well flows under uncertain conditions for building energy demand. In order to take these dynamics into account, previous research (Jaxa-Rozen et al., 2015) introduced a hybrid simulation architecture combining an agent-based model of ATES adoption, a Matlab control design, and a MODFLOW/SEAWAT aquifer model. This architecture was first used to study an idealized case of urban ATES development. This case evidenced a trade-off between the thermal efficiency of individual systems and the collective energy savings realized by ATES systems within a given area, which had already been suggested by other research (e.g. Sommer et al., 2015). These results also indicated that current layout guidelines may be overly conservative, and limit the adoption of new systems. The present study extends this approach to a case study of ATES planning in the city centre of Utrecht, in the Netherlands. This case is particularly relevant due to a combination of dense ATES development and complex subsurface conditions. An agent-based model of ATES adoption was thus parameterized to represent historical development patterns in the area over the 1998-2015 period, as well as plausible future adoption dynamics under a range of socio-technical uncertainties. An existing geohydrological model (Deltares, 2009) was used to represent local subsurface conditions. Preliminary results from this case study indicate that the idealized dynamics obtained in the previous case can also be observed under more realistic conditions; the geographic constraints introduced by building plot layouts and other spatial features tend to further constrain the adoption of new systems, emphasizing the risk of a scarcity of space under current layout guidelines. Furthermore, order effects appear to play a more significant role for system efficiency than in the idealized case. Earlier adopters thus tend to benefit from higher thermal efficiency due to the transient development of thermal bubbles, which could make older systems more robust to thermal interactions. In order to better understand the relationships between these processes and the operation of ATES wells under uncertainty, the case study will be extended by incorporating a Model Predictive Control approach for simulated ATES operation. References Bloemendal, M., Olsthoorn, T., & van de Ven, F. (2015). Combining climatic and geo-hydrological preconditions as a method to determine world potential for aquifer thermal energy storage. Science of the Total Environment, 538, 621-633. Deltares (2009). Ontwikkeling HDSR hydrologisch modelinstrumentarium - HYDROMEDAH. Deelrapport 1: Beschrijving MODFLOW model. Delft, The Netherlands: Deltares. Jaxa-Rozen, M., Kwakkel, J., & Bloemendal, M. (2015). The adoption and diffusion of common-pool resource-dependent technologies: The case of Aquifer Thermal Energy Storage systems. In Proceedings of the 2015 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 2390-2408). Sommer, W., Valstar, J., Leusbrock, I., Grotenhuis, T., & Rijnaarts, H. (2015). Optimization and spatial pattern of large-scale aquifer thermal energy storage. Applied Energy, 137(2015), 322-337.

Adoption and Usage of mHealth Technology on Quality and Experience of Care Provided by Frontline Workers: Observations From Rural India.

PubMed

Kaphle, Sangya; Chaturvedi, Sharad; Chaudhuri, Indrajit; Krishnan, Ram; Lesh, Neal

2015-05-28

mHealth apps are deployed with the aim of improving access, quality, and experience of health care. It is possible that any mHealth intervention can yield differential impacts for different types of users. Mediating and determining factors, including personal and socioeconomic factors, affect technology adoption, the way health workers leverage and use the technology, and subsequently the quality and experience of care they provide. To develop a framework to assess whether mHealth platforms affect the quality and experience of care provided by frontline workers, and whether these effects on quality and experience are different depending on the level of technology adoption and individual characteristics of the health worker. Literacy, education, age, and previous mobile experience are identified as individual factors that affect technology adoption and use, as well as factors that affect the quality and experience of care directly and via the technology. Formative research was conducted with 15 community health workers (CHWs) using CommCare, an mHealth app for maternal and newborn care, in Bihar, India. CHWs were first classified on the level of CommCare adoption using data from CommCareHQ and were then shadowed on home visits to evaluate their levels of technology proficiency, and the quality and experience of care provided. Regression techniques were employed to test the relationships. Out of all the CHWs, 2 of them refused to participate in the home visits, however, we did have information on their levels of technology adoption and background characteristics, which were included in the analysis as relevant. Level of technology adoption was important for both quality and experience of care. The quality score for high users of CommCare was higher by 33.4% (P=.04), on average, compared to low users of CommCare. Those who scored higher on CommCare proficiency also provided significantly higher quality and experience of care, where an additional point in CommCare proficiency score increased the quality score by around half a point (0.541, P=.07), and experience score by around a third of a point (0.308, P=.03). Age affected CommCare user type negatively, with an increase in age increasing the likelihood of belonging to a lower category of CommCare adoption (-0.105, P=.08). Other individual characteristics did not affect adoption or the predicted values estimating the relationship between adoption and quality and experience of care, although illiteracy was able to affect the relationship negatively. mHealth technology adoption by frontline workers can positively impact the quality and experience of care they provide. Individual characteristics, especially literacy and age, can be important elements affecting technology adoption and the way users leverage the technology for their work. Our formative study provides informed hypotheses and methods for further research.

Adoption and Usage of mHealth Technology on Quality and Experience of Care Provided by Frontline Workers: Observations From Rural India

PubMed Central

Chaturvedi, Sharad; Chaudhuri, Indrajit; Krishnan, Ram; Lesh, Neal

2015-01-01

Background mHealth apps are deployed with the aim of improving access, quality, and experience of health care. It is possible that any mHealth intervention can yield differential impacts for different types of users. Mediating and determining factors, including personal and socioeconomic factors, affect technology adoption, the way health workers leverage and use the technology, and subsequently the quality and experience of care they provide. Objective To develop a framework to assess whether mHealth platforms affect the quality and experience of care provided by frontline workers, and whether these effects on quality and experience are different depending on the level of technology adoption and individual characteristics of the health worker. Literacy, education, age, and previous mobile experience are identified as individual factors that affect technology adoption and use, as well as factors that affect the quality and experience of care directly and via the technology. Methods Formative research was conducted with 15 community health workers (CHWs) using CommCare, an mHealth app for maternal and newborn care, in Bihar, India. CHWs were first classified on the level of CommCare adoption using data from CommCareHQ and were then shadowed on home visits to evaluate their levels of technology proficiency, and the quality and experience of care provided. Regression techniques were employed to test the relationships. Out of all the CHWs, 2 of them refused to participate in the home visits, however, we did have information on their levels of technology adoption and background characteristics, which were included in the analysis as relevant. Results Level of technology adoption was important for both quality and experience of care. The quality score for high users of CommCare was higher by 33.4% (P=.04), on average, compared to low users of CommCare. Those who scored higher on CommCare proficiency also provided significantly higher quality and experience of care, where an additional point in CommCare proficiency score increased the quality score by around half a point (0.541, P=.07), and experience score by around a third of a point (0.308, P=.03). Age affected CommCare user type negatively, with an increase in age increasing the likelihood of belonging to a lower category of CommCare adoption (-0.105, P=.08). Other individual characteristics did not affect adoption or the predicted values estimating the relationship between adoption and quality and experience of care, although illiteracy was able to affect the relationship negatively. Conclusions mHealth technology adoption by frontline workers can positively impact the quality and experience of care they provide. Individual characteristics, especially literacy and age, can be important elements affecting technology adoption and the way users leverage the technology for their work. Our formative study provides informed hypotheses and methods for further research. PMID:26023001

Which Are the Determinants of Online Students' Efficiency in Higher Education?

NASA Astrophysics Data System (ADS)

Castillo-Merino, David; Serradell-Lopez, Enric; González-González, Inés

International literature shows that the positive effect on students performance from the adoption of innovations in the technology of teaching and learning do not affect all teaching methods and learning styles equally, as it depends on university strategy and policy towards Information and Communication Technologies (ICT) adoption, students abilities, technology uses in the educational process by teachers and students, or the selection of a methodology that matches with digital uses. This paper provides empirical answers to these questions with data from online students at the Open University of Catalonia (UOC). An empirical model based on structural equations has been defined to explain complex relationships between variables. Our results show that motivation is the main variable affecting online students' performance. It appears as a latent variable influenced by students' perception of efficiency, a driver for indirect positive and significant effect on students' performance from students' ability in ICT uses.

The determinants of medical technology adoption in different decisional systems: A systematic literature review.

PubMed

Varabyova, Yauheniya; Blankart, Carl Rudolf; Greer, Ann Lennarson; Schreyögg, Jonas

2017-03-01

Studies of determinants of adoption of new medical technology have failed to coalesce into coherent knowledge. A flaw obscuring strong patterns may be a common habit of treating a wide range of health care innovations as a generic technology. We postulate three decisional systems that apply to different medical technologies with distinctive expertise, interest, and authority: medical-individualistic, fiscal-managerial, and strategic-institutional decisional systems. This review aims to examine the determinants of the adoption of medical technologies based on the corresponding decision-making system. We included quantitative and qualitative studies that analyzed factors facilitating or inhibiting the adoption of medical technologies. In total, 65 studies published between 1974 and 2014 met our inclusion criteria. These studies contained 688 occurrences of variables that were used to examine the adoption decisions, and we subsequently condensed these variables to 62 determinants in four main categories: organizational, individual, environmental, and innovation-related. The determinants and their empirical association with adoption were grouped and analyzed by the three decision-making systems. Although we did not identify substantial differences across the decision-making systems in terms of the direction of the determinants' influence on adoption, a clear pattern emerged in terms of the categories of determinants that were targeted in different decision-making systems. Copyright © 2017 Elsevier B.V. All rights reserved.

Adoption Decisions for Medical Devices in the Field of Cardiology: Results from a European Survey.

PubMed

Hatz, Maximilian H M; Schreyögg, Jonas; Torbica, Aleksandra; Boriani, Giuseppe; Blankart, Carl R B

2017-02-01

Decisions to adopt medical devices at the hospital level have consequences for health technology assessment (HTA) on system level and are therefore important to decision makers. Our aim was to investigate the characteristics of organizations and individuals that are more inclined to adopt and utilize cardiovascular devices based on a comprehensive analysis of environmental, organizational, individual, and technological factors and to identify corresponding implications for HTA. Seven random intercept hurdle models were estimated using the data obtained from 1249 surveys completed by members of the European Society of Cardiology. The major findings were that better manufacturer support increased the adoption probability of 'new' devices (i.e. in terms of CE mark approval dates), and that budget pressure increased the adoption probability of 'old' devices. Based on our findings, we suggest investigating the role of manufacturer support in more detail to identify diffusion patterns relevant to HTA on system level, to verify whether it functions as a substitute for medical evidence of new devices, and to receive new insights about its relationship with clinical effectiveness and cost-effectiveness. © 2017 The Authors. Health Economics published by John Wiley & Sons, Ltd. © 2017 The Authors. Health Economics published by John Wiley & Sons, Ltd.

STochastic Analysis of Technical Systems (STATS): A model for evaluating combined effects of multiple uncertainties

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kranz, L.; VanKuiken, J.C.; Gillette, J.L.

1989-12-01

The STATS model, now modified to run on microcomputers, uses user- defined component uncertainties to calculate composite uncertainty distributions for systems or technologies. The program can be used to investigate uncertainties for a single technology on to compare two technologies. Although the term technology'' is used throughout the program screens, the program can accommodate very broad problem definitions. For example, electrical demand uncertainties, health risks associated with toxic material exposures, or traffic queuing delay times can be estimated. The terminology adopted in this version of STATS reflects the purpose of the earlier version, which was to aid in comparing advancedmore » electrical generating technologies. A comparison of two clean coal technologies in two power plants is given as a case study illustration. 7 refs., 35 figs., 7 tabs.« less

Using Pedagogical Dialogue as a Vehicle to Encourage Faculty Technology Use

ERIC Educational Resources Information Center

Friel, Terri; Britten, Jody; Compton, Beverly; Peak, Amy; Schoch, Kurt; VanTyle, W. Kent

2009-01-01

The pace of technology adoption by university faculty is often slow. Slow faculty technology adoption may result from fear of failure, disinterest, or aversion to change. However, in 2007 we experienced a different faculty response while training faculty for technology-enhanced teaching at Butler University. During a technology upgrade of…

Technological and Organizational Context around Immunization Reporting and Interoperability in Minnesota

PubMed Central

Rajamani, Sripriya; Roche, Erin; Soderberg, Karen; Bieringer, Aaron

2014-01-01

Background: Immunization information systems (IIS) operate in an evolving health care landscape with technology changes driven by initiatives such as the Centers for Medicare and Medicaid Services EHR incentive program, promoting adoption and use of electronic health record (EHR) systems, including standards-based public health reporting. There is flux in organizational affiliations to support models such as accountable care organizations (ACO). These impact institutional structure of how reporting of immunizations occurs and the methods adopted. Objectives: To evaluate the technical and organizational characteristics of healthcare provider reporting of immunizations to public health in Minnesota and to assess the adoption of standardized codes, formats and transport. Methods: Data on organizations and reporting status was obtained from Minnesota IIS (Minnesota Immunization Information Connection: MIIC) by collating information from existing lists, specialized queries and review of annual reports. EHR adoption data of clinics was obtained in collaboration with informatics office supporting the Minnesota e-Health Initiative. These data from various sources were merged, checked for quality to create a current state assessment of immunization reporting and results validated with subject matter experts. Results: Standards-based reporting of immunizations to MIIC increased to 708 sites over the last 3 years. A growth in automated real-time reporting occurred in 2013 with 143 new sites adopting the method. Though the uptake of message standards (HL7) has increased, the adoption of current version of HL7 and web services transport remains low. The EHR landscape is dominated by a single vendor (used by 40% of clinics) in the state. There is trend towards centralized reporting of immunizations with an organizational unit reporting for many sites ranging from 4 to 140 sites. Conclusion: High EHR adoption in Minnesota, predominance of a vendor in the market, and centralized reporting models present opportunities for better interoperability and also adaptation of strategies to fit this landscape. It is essential for IIS managers to have a good understanding of their constituent landscape for technical assistance and program planning purposes. PMID:25598866

Analysis of the development and diffusion of technological innovations in oil spill forecasting: The MEDESS-4MS case

NASA Astrophysics Data System (ADS)

Marcati, Alberto; Prete, M. Irene; Mileti, Antonio; Cortese, Mario; Zodiatis, George; Karaolia, Andria; Gauci, Adam; Drago, Aldo

2016-11-01

This paper presents a case study on the management of users' engagement in the development of a new technology. Based on the experience of MEDESS-4MS, an integrated operational model for oil spill Decision Support System covering the whole Mediterranean Sea, the case study is aimed at the development of a framework for user engagement and for the management of its dual logic. Indeed, users may play a dual role in the innovation process, contributing to both the design of the innovation and its promotion. Users contribute to shaping the innovation, by aggregating and integrating knowledge, and they facilitate its diffusion, by adopting the innovation and fostering its adoption within the socio-economic system.

Inducing the Development and Adoption of Socially Efficient Automotive Technology

DOT National Transportation Integrated Search

1978-02-01

Federal policies for inducing the development and adoption of innovative automobile technology are examined using a welfare economics framework. Socially efficient technology is defined, and criteria are identified for evaluating public policies; the...

{cross-disciplinary} Data CyberInfrastructure: A Different Approach to Developing Collaborative Earth and Environmental Science Research Platforms

NASA Astrophysics Data System (ADS)

Lenhardt, W. C.; Krishnamurthy, A.; Blanton, B.; Conway, M.; Coposky, J.; Castillo, C.; Idaszak, R.

2017-12-01

An integrated science cyberinfrastructure platform is fast becoming a norm in science, particularly where access to distributed resources, access to compute, data management tools, and collaboration tools are accessible to the end-user scientist without the need to spin up these services on their own. There platforms have various types of labels ranging from data commons to science-as-a-service. They tend to share common features, as outlined above. What tends to distinguish these platforms, however, is their affinity for particular domains, NanoHub - nanomaterials, iPlant - plant biology, Hydroshare - hydrology, and so on. The challenge still remains how to enable these platforms to be more easily adopted for use by other domains. This paper will provide an overview of RENCI's approach to creating a science platform that can be more easily adopted by new communities while also endeavoring to accelerate their research. At RENCI, we started with Hydroshare, but have now worked to generalize the methodology for application to other domains. This new effort is called xDCi, or {cross-disciplinary} Data CyberInfrastructure. We have adopted a broader approach to the challenge of domain adoption and includes two key elements in addition to the technology component. The first of these is how development is operationalized. RENCI implements a DevOps model of continuous development and deployment. This greatly increases the speed by which a new platform can come online and be refined to meet domain needs. DevOps also allows for migration over time, i.e. sustainability. The second element is a concierge model. In addition to the technical elements, and the more responsive development process, RENCI also supports domain adoption of the platform by providing a concierge service— dedicated expertise- in the following areas, Information Technology, Sustainable Software, Data Science, and Sustainability. The success of the RENCI methodology is illustrated by the adoption of the approach by two domains in conjunction with its release, neurobiology and an advanced care planning information system. In addition to the overview of the approach, this paper will describe the existing integrations in the Earth and environmental science domains as well as illustrations of how the technology may be adopted for other related research.

Emerging environmental technologies and environmental technology policy

NASA Astrophysics Data System (ADS)

Clarke, Leon Edward

This dissertation explores the role and design of environmental technology policy when environmental innovation is embodied in emerging environmental technologies such as photovoltaic cells or fuel cells. The dissertation consists of three individual studies, all of which use a simplified, general model industry between an emerging environmental technology and an entrenched, more-polluting technology. It clarifies the situations in which environmental technology policy can achieve high welfare and those in which it cannot; and it separates the possible situations an emerging environmental technology might face into four scenarios, each with its own technology policy recommendations. The second study attempts to clarify which of two factors is having a larger limiting effect on private investment in photovoltaics: the failure to internalize the environmental costs of fossil fuel electricity generation or a broad set of innovation market failures that apply to innovation irrespective of environmental concerns. The study indicates that innovation market failures are probably having a significantly larger impact than incomplete internalization. The third study explores the effectiveness of adoption subsidies at encouraging private-sector innovation. The conclusion is that adoption subsidies probably have only a limited effect on long-term, private-sector research. Two important general conclusions of the dissertation are (1) that optimal technology policy should begin with technology-push measures and end with demand-pull measures; and (2) that the technological response to internalization instruments, such as emissions taxes, may be highly nonlinear.

Clinical data warehousing for evidence based decision making.

PubMed

Narra, Lekha; Sahama, Tony; Stapleton, Peta

2015-01-01

Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.

A standard telemental health evaluation model: the time is now.

PubMed

Kramer, Greg M; Shore, Jay H; Mishkind, Matt C; Friedl, Karl E; Poropatich, Ronald K; Gahm, Gregory A

2012-05-01

The telehealth field has advanced historic promises to improve access, cost, and quality of care. However, the extent to which it is delivering on its promises is unclear as the scientific evidence needed to justify success is still emerging. Many have identified the need to advance the scientific knowledge base to better quantify success. One method for advancing that knowledge base is a standard telemental health evaluation model. Telemental health is defined here as the provision of mental health services using live, interactive video-teleconferencing technology. Evaluation in the telemental health field largely consists of descriptive and small pilot studies, is often defined by the individual goals of the specific programs, and is typically focused on only one outcome. The field should adopt new evaluation methods that consider the co-adaptive interaction between users (patients and providers), healthcare costs and savings, and the rapid evolution in communication technologies. Acceptance of a standard evaluation model will improve perceptions of telemental health as an established field, promote development of a sounder empirical base, promote interagency collaboration, and provide a framework for more multidisciplinary research that integrates measuring the impact of the technology and the overall healthcare aspect. We suggest that consideration of a standard model is timely given where telemental health is at in terms of its stage of scientific progress. We will broadly recommend some elements of what such a standard evaluation model might include for telemental health and suggest a way forward for adopting such a model.

Innovative technology for optical and infrared astronomy

NASA Astrophysics Data System (ADS)

Cunningham, Colin R.; Evans, Christopher J.; Molster, Frank; Kendrew, Sarah; Kenworthy, Matthew A.; Snik, Frans

2012-09-01

Advances in astronomy are often enabled by adoption of new technology. In some instances this is where the technology has been invented specifically for astronomy, but more usually it is adopted from another scientific or industrial area of application. The adoption of new technology typically occurs via one of two processes. The more usual is incremental progress by a series of small improvements, but occasionally this process is disruptive, where a new technology completely replaces an older one. One of the activities of the OPTICON Key Technology Network over the past few years has been a technology forecasting exercise. Here we report on a recent event which focused on the more radical, potentially disruptive technologies for ground-based, optical and infrared astronomy.

Generational Differences in Technology Adoption in Community Colleges

ERIC Educational Resources Information Center

Rosario, Victoria C.

2012-01-01

This research study investigated the technological perceptions and expectations of community college students, faculty, administrators, and Information Technology (IT) staff. The theoretical framework is based upon two assumptions on the process of technological innovation: it can be explained by diffusion of adoption theory, and by studying the…

An Analysis of the Features of Japanese Technological Terms from the Viewpoint of International Student Education

NASA Astrophysics Data System (ADS)

Matsuda, Makiko; Takahashi, Tomoe; Yukawa, Takashi; Mikami, Yoshiki

In this paper, we analyzed the features of the adoption strategy in creating Japanese technological terms, by comparing with those of other Asian countries. In addition, we investigated how those technological terms are used differently in each engineering field. As a result, in adopting technological terms, phonetic adoption is found more often in Japan (especially in the new research fields like IT) . In contrast, semantic adoption is found more often in China and Vietnam. It is also found that architecture field shares many terms with civil engineering, and electrical field shares many terms with communication. Those findings are quite useful to the engineering education for foreign students.

Teachers Learning to Use the iPad in Scotland and Wales: A New Model of Professional Development

ERIC Educational Resources Information Center

Beauchamp, Gary; Burden, Kevin; Abbinett, Emily

2015-01-01

In learning to use a new technology like the iPad, primary teachers adopt a diverse range of experiential, informal and playful strategies contrasting sharply with traditional models underpinning professional development which emphasise formal courses and events led by "experts" conducted in formal settings such as the school. Since…

Measuring Levels of End-Users' Acceptance and Use of Hybrid Library Services

ERIC Educational Resources Information Center

Tibenderana, Prisca; Ogao, Patrick; Ikoja-Odongo, J.; Wokadala, James

2010-01-01

This study concerns the adoption of Information Communication Technology (ICT) services in libraries. The study collected 445 usable data from university library end-users using a cross-sectional survey instrument. It develops, applies and tests a research model of acceptance and use of such services based on an existing UTAUT model by Venkatesh,…

Factors Affecting Adoption of Facebook: An Exploratory Study of the LIS Community Perspective

ERIC Educational Resources Information Center

Aharony, Noa

2014-01-01

This study seeks to investigate whether information professionals, as well as LIS students, are ready to assimilate Facebook in their work and educational environments. The study uses the Technology Acceptance Model (TAM) as well as some characteristics of the "Big Five" model of personality as a theoretical base from which to predict…

Empirical Examination of the Adoption of WebCT Using TAM

ERIC Educational Resources Information Center

Ngai, E. W. T.; Poon, J. K. L.; Chan, Y. H. C.

2007-01-01

Web Course Tools (WebCT) have enhanced the ability and motivation of institutes of higher education to support e-learning. In this study, we extended the Technology Acceptance Model to include technical support as a precursor and then investigated the role of the extended model in user acceptance of WebCT. Responses from 836 university students…

Factors Influencing the Behavioural Intention to Use Statistical Software: The Perspective of the Slovenian Students of Social Sciences

ERIC Educational Resources Information Center

Brezavšcek, Alenka; Šparl, Petra; Žnidaršic, Anja

2017-01-01

The aim of the paper is to investigate the main factors influencing the adoption and continuous utilization of statistical software among university social sciences students in Slovenia. Based on the Technology Acceptance Model (TAM), a conceptual model was derived where five external variables were taken into account: statistical software…

The 3 "C" Design Model for Networked Collaborative E-Learning: A Tool for Novice Designers

ERIC Educational Resources Information Center

Bird, Len

2007-01-01

This paper outlines a model for online course design aimed at the mainstream majority of university academics rather than at the early adopters of technology. It has been developed from work at Coventry Business School where tutors have been called upon to design online modules for the first time. Like many good tools, the model's key strength is…

Adopted technologies and basis for selection at municipal solid waste landfill facilities constructed in recent years in Japan.

PubMed

Asakura, Hiroshi; Matsuto, Toshihiko; Inoue, Yuzo

2010-08-01

In Japan, as the construction of new landfill facilities has become extremely difficult and the number of sites procured for landfill construction has decreased due to the 'not in my back yard' (NIMBY) syndrome, it has been assumed that the adoption of new technologies has increased. As the performance of new technologies exceeds that of conventional technologies, it is also assumed that residents would prefer the use of these new technologies and therefore any construction plans should be devised to ensure their use to ensure residents' satisfaction. In the present study, the technologies adopted for municipal solid waste landfill facilities constructed in recent years (2000 to 2004) in Japan and the bases for their adoption were investigated by means of a questionnaire survey. One of the main bases for the adoption of new technologies was the request by residents for new technology for roofing, rather than the other for new technologies for barrier systems, leachate treatment, and monitoring. In addition, it is possible that the municipalities did not recognize the difference between conventional and new technologies as defined in this study. The roof-type landfill that isolates waste from the surrounding environment was one of the requirements for the construction of new landfill facilities identified in the present investigation, and in this regard waste isolation should be required in all circumstances.

A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV.

PubMed

Adnan, Nadia; Nordin, Shahrina Mohammad; Rahman, Imran; Amini, Mohammad Hadi

2017-08-01

With the rising concern about climate change, there has been an increased public awareness that has resulted in new government policies to support scientific research for mitigating these problems. Malaysia is among the major energy-intense countries and is under an excessive burden to advance its energy efficiency and to also work towards the reduction of its carbon emission. Plug-in hybrid electric vehicles (PHEVs) have the potential to lessen the carbon emission and gasoline consumption in order to alleviate environmental problems. Most of the energy problems linked to the increasing transportation pollution are now being reduced with the solution of the adoption of PHEVs. PHEVs are seen as a solution to cut carbon emission, which prevents environmental damages. Furthermore, PHEVs' driving range and performance can be comparable to the other hybrid vehicles as well as the conventional IC engines that have gasoline and diesel tanks. Thus, many efforts are being initiated to promote the use of PHEVs as an innovative and affordable transportation system. In order to achieve making the consumers aware of the adoption of PHEVs, we used a model which is based on the extended theory of planned behavior (TPB). This review is based on the factors affecting the adoption of PHEVs among Malaysian consumers. The model takes into account the ten key features that influence the adoption of PHEVs, such as environmental concern, personal norm, attitude, vehicle ownership costs, driving range, charging time, intention, subjective norm, perceived behavioral control, and personal norm. All these constructs are drivers towards the adoption of PHEVs. These factors affect the relationship between the adoption of PHEVs and how consumers intend to protect the environment. This review is based on improving how the "attitude-action" gap is understood as it is an important element for further studies on PHEVs. The aim of the research is to come up with a framework that examines how to modify the consumer's environmental concerns in acquiring PHEVs. This will pave the way for more academic research and future works that can emphasize how to obtain empirical results. The authors' recommendation is that, before a consumer's behavior is assessed and considered, an observation of the current technology is needed with methods and knowledge of the existing technology adoption aspect.

"Willing but unwilling": attitudinal barriers to adoption of home-based health information technology among older adults.

PubMed

Young, Rachel; Willis, Erin; Cameron, Glen; Geana, Mugur

2014-06-01

While much research focuses on adoption of electronic health-care records and other information technology among health-care providers, less research explores patient attitudes. This qualitative study examines barriers to adoption of home-based health information technology, particularly personal electronic health records, among older adults. We conducted in-depth interviews (30-90 min duration) with 35 American adults, aged 46-72 years, to determine their perceptions of and attitudes toward home-based health information technology. Analysis of interview data revealed that most barriers to adoption fell under four themes: technological discomfort, privacy or security concerns, lack of relative advantage, and perceived distance from the user representation. Based on our findings, systems to promote home-based health information technology should incorporate familiar computer applications, alleviate privacy and security concerns, and align with older adults' active and engaged self-image.

Road Map For Diffusion Of Innovation In Health Care.

PubMed

Balas, E Andrew; Chapman, Wendy W

2018-02-01

New scientific knowledge and innovation are often slow to disseminate. In other cases, providers rush into adopting what appears to be a clinically relevant innovation, based on a single clinical trial. In reality, adopting innovations without appropriate translation and repeated testing of practical application is problematic. In this article we provide examples of clinical innovations (for example, tight glucose control in critically ill patients) that were adopted inappropriately and that caused what we term a malfunction. To address the issue of malfunctions, we review various examples and suggest frameworks for the diffusion of knowledge leading to the adoption of useful innovations. The resulting model is termed an integrated road map for coordinating knowledge transformation and innovation adoption. We make recommendations for the targeted development of practice change procedures, practice change assessment, structured descriptions of tested interventions, intelligent knowledge management technologies, and policy support for knowledge transformation, including further standardization to facilitate sharing among institutions.

Innovation Value of Information Technology: Impact of Information Technology--Intensity on Innovation Capability and Firm Performance

ERIC Educational Resources Information Center

Ramamani, Mahesh Kumar

2010-01-01

Though information technology adoptions have been always referred to as innovations in firms, much of the business value literature has concentrated on the tangible and immediately measurable impacts of information technology (IT) adoptions. This study aims to explore the impact of information technology investments on the innovativeness of a…

Information Technologies in Florida's Rural Hospitals: Does System Affiliation Matter?

ERIC Educational Resources Information Center

Menachemi, Nir; Burke, Darrell; Clawson, Art; Brooks, Robert G.

2005-01-01

Context: The recent explosive growth of information technology in hospitals promises to improve hospital and patient outcomes. Financial barriers may cause rural hospitals to lag in adoption of information technology, however, formal studies that examine rural hospital adoption of information technology are lacking. Purpose: To determine the…

Effetive methods in educating extension agents and farmers on conservation farming technology

USDA-ARS?s Scientific Manuscript database

Adoption of new technologies requires transfer of information from developers to end users. Efficiency of the transfer process influences the rate of adoption and ultimate impact of the technology. Various channels are used to transfer technology from researchers to farmers. Two commonly used ones ...

Crossing the Technology Adoption Chasm: Implications for DoD

DTIC Science & Technology

2008-06-30

technologies (where, given uncertainty of evaluation, adoption is driven by mimicry processes) and those technologies that exhibit network...Total Capital per Farm Dependent Variable = Long-run Equilibrium Percentage of Acreage Planted to Hybrid Seed Average Corn Acre per

Categories for Barriers to Adoption of Instructional Technologies

ERIC Educational Resources Information Center

Reid, Pat

2014-01-01

Although higher education has spent millions of dollars on instructional technologies, often higher education administration complains that instructors are not adopting them. Without a full understanding of possible barriers, higher education institutes are hard-pressed to develop either appropriate goals or sound strategies for the adoption of…

Adopting new medical technologies in Russian hospitals: what causes inefficiency? (qualitative study).

PubMed

Shishkin, Sergey; Zasimova, Liudmila

2018-01-01

The adoption of new medical technologies often generates losses in efficiency associated with the excess or insufficient acquisition of new equipment, an inappropriate choice (in terms of economic and clinical parameters) of medical equipment, and its poor use. Russia is a good example for exploring the problem of the ineffective adoption of new medical technologies due to the massive public investment in new equipment for medical institutions in 2006-2013. This study examines the procurement of new technologies in Russian hospitals to find the main causes of inefficiency. The research strategy was based on in-depth semistructured interviews with representatives of prominent actors (regional health care authorities, hospital executives, senior physicians). The main result is that inefficiencies arise from the contradiction between hospitals' and authorities' motivation for acquiring new technologies: hospitals tend to adopt technologies which bring benefits to their department heads and physicians and minimize maintenance and servicing costs, while the authorities' main concern is the initial cost of the technology.

On Adaptive Extended Compatibility Changing Type of Product Design Strategy

NASA Astrophysics Data System (ADS)

Wenwen, Jiang; Zhibin, Xie

The article uses research ways of Enterprise localization and enterprise's development course to research strategy of company's product design and development. It announces at different stages for development, different kinds of enterprises will adopt product design and development policies of different modes. It also announces close causality between development course of company and central technology and product. The result indicated enterprises in leading position in market, technology and brand adopt pioneer strategy type of product research and development. These enterprise relying on the large-scale leading enterprise offering a complete set service adopts the passively duplicating type tactic of product research and development. Some enterprise in part of advantage in technology, market, management or brand adopt following up strategy of product research and development. The enterprises with relative advantage position adopt the strategy of technology applied taking optimizing services as centre in product research and development in fields of brand culture and market service.

Adoption and Use of Digital Technologies among General Dental Practitioners in the Netherlands

PubMed Central

van der Zande, Marieke M.; Gorter, Ronald C.; Aartman, Irene H. A.; Wismeijer, Daniel

2015-01-01

Objectives To investigate (1) the degree of digital technology adoption among general dental practitioners, and to assess (2) which personal and practice factors are associated with technology use. Methods A questionnaire was distributed among a stratified sample of 1000 general dental practitioners in the Netherlands, to measure the use of fifteen administrative, communicative, clinical and diagnostic technologies, as well as personal factors and dental practice characteristics. Results The response rate was 31.3%; 65.1% replied to the questionnaire on paper and 34.9% online. Each specific digital technology was used by between 93.2% and 6.8% of the dentists. Administrative technologies were generally used by more dentists than clinical technologies. Dentists had adopted an average number of 6.3±2.3 technologies. 22.5% were low technology users (0 to 4 technologies), 46.2% were intermediate technology users (5 to 7 technologies) and 31.3% were high technology users (8 to12 technologies). High technology users more frequently had a specialization (p<0.001), were younger on average (p=0.024), and worked more hours per week (p=0.003) than low technology users, and invested more hours per year in professional activities (p=0.026) than intermediate technology users. High technology use was also more common for dentists working in practices with a higher average number of patients per year (p<0.001), with more dentists working in the practice (p<0.001) and with more staff (p<0.001). Conclusion With few exceptions, all dentists use some or a substantial number of digital technologies. Technology use is associated with various patterns of person-specific factors, and is higher when working in larger dental practices. The findings provide insight into the current state of digital technology adoption in dental practices. Further exploration why some dentists are more reluctant to adopt technologies than others is valuable for the dental profession’s agility in adjusting to technological developments. PMID:25811594

Transforming Nursing Education With Apple Technology.

PubMed

Clark, Angela; Glazer, Greer; Edwards, Christopher; Pryse, Yvette

The widespread adoption of technology has the potential to redefine nursing education. Currently, there is limited knowledge of how to implement technological advancements in nursing curricula. This article describes 1 college's journey to transform nursing education through leadership, professional development, and innovative learning and teaching. The iPad opens the classroom experience to resources and learning opportunities for students. Facilitating the culture change required to adopt the iPad as a teaching and learning tool required a supportive vision, strong leadership, commitment to provide adequate technological support, early adopters, and planning.

Medical Representatives' Intention to Use Information Technology in Pharmaceutical Marketing

PubMed Central

Kwak, Eun-Seon

2016-01-01

Objectives Electronic detailing (e-detailing), the use of electronic devices to facilitate sales presentations to physicians, has been adopted and expanded in the pharmaceutical industry. To maximize the potential outcome of e-detailing, it is important to understand medical representatives (MRs)' behavior and attitude to e-detailing. This study investigates how information technology devices such as laptop computers and tablet PCs are utilized in pharmaceutical marketing, and it analyzes the factors influencing MRs' intention to use devices. Methods This study has adopted and modified the theory of Roger's diffusion of innovation model and the technology acceptance model. To test the model empirically, a questionnaire survey was conducted with 221 MRs who were working in three multinational or eleven domestic pharmaceutical companies in Korea. Results Overall, 28% and 35% of MRs experienced using laptop computers and tablet PCs in pharmaceutical marketing, respectively. However, the rates were different across different groups of MRs, categorized by age, education level, position, and career. The results showed that MRs' intention to use information technology devices was significantly influenced by perceived usefulness in general. Perceived ease of use, organizational and individual innovativeness, and several MR characteristics were also found to have significant impacts. Conclusions This study provides timely information about e-detailing devices to marketing managers and policy makers in the pharmaceutical industry for successful marketing strategy development by understanding the needs of MRs' intention to use information technology. Further in-depth study should be conducted to understand obstacles and limitations and to improve the strategies for better marketing tools. PMID:27895967

Design and Implementation of Campus Application APP Based on Android

NASA Astrophysics Data System (ADS)

dongxu, Zhu; yabin, liu; xian lei, PI; weixiang, Zhou; meng, Huang

2017-07-01

In this paper, "Internet + campus" as the entrance of the Android technology based on the application of campus design and implementation of Application program. Based on GIS(Geographic Information System) spatial database, GIS spatial analysis technology, Java development technology and Android development technology, this system server adopts the Model View Controller architectue to realize the efficient use of campus information and provide real-time information of all kinds of learning and life for campus student at the same time. "Fingertips on the Institute of Disaster Prevention Science and Technology" release for the campus students of all grades of life, learning, entertainment provides a convenient.

Diffusing Supply Chain Innovations at Hewlett-Packard Company: Applications of Performance Technology.

ERIC Educational Resources Information Center

Cargille, Brian; Branvold, Dwight

2000-01-01

Explains how Hewlett-Packard creates supply chain management innovations and effectively diffuses new technologies. Outlines how performance technologists help accelerate the diffusion and adoption of innovations by modifying innovations, define the client adoption path, create resources to lead clients through adoption, and improve the diffusion…

Factors Influencing EFL Novice Teachers' Adoption of Technologies in Classroom Practice

ERIC Educational Resources Information Center

Dinh, Huong Thi Bao

2009-01-01

A primary research conducted with 12 Vietnamese teachers of English using questionnaires and semi-structured interviews has revealed that big investment into technological infrastructure and the top-down approach of implementing technological change in English teaching are not a guarantee for the adoption of technology by English teachers in their…

Privacy versus autonomy: a tradeoff model for smart home monitoring technologies.

PubMed

Townsend, Daphne; Knoefel, Frank; Goubran, Rafik

2011-01-01

Smart homes are proposed as a new location for the delivery of healthcare services. They provide healthcare monitoring and communication services, by using integrated sensor network technologies. We validate a hypothesis regarding older adults' adoption of home monitoring technologies by conducting a literature review of articles studying older adults' attitudes and perceptions of sensor technologies. Using current literature to support the hypothesis, this paper applies the tradeoff model to decisions about sensor acceptance. Older adults are willing to trade privacy (by accepting a monitoring technology), for autonomy. As the information captured by the sensor becomes more intrusive and the infringement on privacy increases, sensors are accepted if the loss in privacy is traded for autonomy. Even video cameras, the most intrusive sensor type were accepted in exchange for the height of autonomy which is to remain in the home.

An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern.

PubMed

Hoque, Md Rakibul

2016-05-03

mHealth has become a valuable tool for providing health care services in developing countries. Despite the potential benefits of mHealth, its adoption remains a very challenge in developing countries like Bangladesh. The aim of this study is to investigate the factors that affect the adoption of mHealth services in Bangladesh using Extended Technology Acceptance Model (TAM). Data were collected from over 250 respondents in Dhaka, Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based on the Structural Equation Modeling (SEM). The study found that perceived ease of use, perceived usefulness and subjective norm (p < 0.05) had significant positive impact on the intention to adopt mHealth services. Surprisingly, the effects of personal innovativeness in IT (p > 0.05) on mHealth adoption were insignificant. This study also revealed that gender was strongly associated with the adoption and use of mHealth in developing countries. The findings of this study can be used by government, policy makers, and mobile phone Company to maximize the acceptance of mHealth services in Bangladesh. The paper concludes with a discussion of research results and draws several implications for future research.

Managed care and the diffusion of intensity-modulated radiotherapy for prostate cancer.

PubMed

Jacobs, Bruce L; Zhang, Yun; Skolarus, Ted A; Wei, John T; Montie, James E; Schroeck, Florian R; Hollenbeck, Brent K

2012-12-01

To better understand associations between managed care penetration in health care markets and the adoption of intensity-modulated radiotherapy (IMRT). We used Surveillance, Epidemiology, and End Results-Medicare data to identify men diagnosed with prostate cancer between 2001 and 2007 who were treated with radiotherapy (n = 55,162). We categorized managed care penetration in Health Service Areas (HSAs) as low (<3%), intermediate (3%-10%), and high (>10%), and assessed our main outcomes (ie, probability of IMRT adoption, which is the ability of a health care market to deliver IMRT, and IMRT utilization in HSA markets) using a Cox proportional hazards model and Poisson regression model, respectively. Compared with markets with low managed care penetration, populations in highly penetrated HSAs were more racially diverse (25% vs 15% non-white, P <.01), densely populated (2110 vs 145 people/square mile, P <.01), and wealthier (median income, $48,500 vs $31,900, P <.01). The probability of IMRT adoption was greatest in markets with the highest managed care penetration (eg, 0.82 [high] vs 0.72 [low] in 2007, P = .05). Among adopting markets, the use of IMRT increased in all HSA categories. However, relative to markets with low managed care penetration, IMRT use was constrained in markets with the highest penetration (0.69 [high] vs 0.76 [low] in 2007, P <.01). Markets with higher managed care penetration demonstrated a greater propensity for acquiring IMRT technology. However, after adopting IMRT, more highly penetrated markets had roughly 7% slower growth in IMRT use during the study period. These findings provide insight into the implications of delivery system reforms for cancer-related technologies. Copyright © 2012 Elsevier Inc. All rights reserved.

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

PubMed Central

Kim, Ki Joon

2014-01-01

Abstract This study explores the psychological effects of screen size on smartphone adoption by proposing an extended Technology Acceptance Model (TAM) that integrates an empirical comparison between large and small screens with perceived control, affective quality, and the original TAM constructs. A structural equation modeling analysis was conducted on data collected from a between-subjects experiment (N=130) in which users performed a web-based task on a smartphone with either a large (5.3 inches) or a small (3.7 inches) screen. Results show that a large screen, compared to a small screen, is likely to lead to higher smartphone adoption by simultaneously promoting both the utilitarian and hedonic qualities of smartphones, which in turn positively influence perceived ease of use of—and attitude toward—the device respectively. Implications and directions for future research are discussed. PMID:24694112

Does screen size matter for smartphones? Utilitarian and hedonic effects of screen size on smartphone adoption.

PubMed

Kim, Ki Joon; Sundar, S Shyam

2014-07-01

This study explores the psychological effects of screen size on smartphone adoption by proposing an extended Technology Acceptance Model (TAM) that integrates an empirical comparison between large and small screens with perceived control, affective quality, and the original TAM constructs. A structural equation modeling analysis was conducted on data collected from a between-subjects experiment (N=130) in which users performed a web-based task on a smartphone with either a large (5.3 inches) or a small (3.7 inches) screen. Results show that a large screen, compared to a small screen, is likely to lead to higher smartphone adoption by simultaneously promoting both the utilitarian and hedonic qualities of smartphones, which in turn positively influence perceived ease of use of-and attitude toward-the device respectively. Implications and directions for future research are discussed.

77 FR 41919 - Hearing Aid Compatibility Technical Standard

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-17

.... SUMMARY: The Wireless Telecommunications Bureau and the Office of Engineering and Technology (Bureaus) adopt the 2011 ANSI Standard for evaluating the hearing aid compatibility of wireless phones. The Bureaus take this action to ensure that a selection of digital wireless handset models is available to...

Factors affecting health care workers' adoption of a website with infection control guidelines.

PubMed

Verhoeven, Fenne; Steehouder, Michaël F; Hendrix, Ron M G; van Gemert-Pijnen, Julia E W C

2009-10-01

To identify factors that could affect health care workers' (HCWs) adoption of a website for communicating infection control guidelines. In total, 20 semi-structured interviews were conducted with HCWs in 5 different occupational groups and 4 different hospitals in the Netherlands and Germany. A website communicating guidelines for the prevention and control of Methicillin Resistant Staphylococcus aureus served as a casus. The HCWs, the majority of whom had prior experience with the website, were asked to give their opinions about factors that hinder or facilitate adoption of the website in practice. The interviews were based on the PRECEDE (Predisposing, Reinforcing, and Enabling Causes in Educational Diagnosis and Evaluation) model complemented by quality criteria for health-related websites. This model encompasses different categories of factors relevant to technology adoption in health care. A total of 361 interview statements were relevant to the four main categories of the PRECEDE model, yielding the following observations: (1) Technological factors (72 statements): The usability, design, and relevance of the website were positively valued. The website enabled HCWs to access contextually relevant information quickly. The website's credibility was evaluated rather negatively, as respondents perceived that the website's guidelines were not in concurrence with the best available evidence and it was not clear to HCWs who created the website. (2) Individual factors (85 statements): Respondents, particular infection control professionals, showed individual resistance to the website because they preferred to use their personal knowledge and experience (and communication with colleagues) over online sources. (3) Work-related factors (53 statements): Respondents perceived high work pressure during working hours as an impediment to consulting the website. In contrast, respondents thought the website might lower work pressure for infection control professionals, as they will receive fewer questions from HCWs. (4) Organizational factors (131 statements): Interpersonal (face-to-face) communication between HCWs from different occupational groups in both a formal (training) and informal (feedback) manner was seen as the most stimulating factor behind website use. The respondents identified infection control nurses as the most important opinion leaders. Factors from multiple categories determine HCWs' adoption of web-based guidelines, but the organization appeared to be a paramount reinforcer of initiation and maintenance of technology adoption among HCWs. In order eliminate resistance and create ownership among HCWs toward the website, leading to a willingness to integrate the website into routine care, it is essential to more actively involve HCWs in the early phases of the design process.

Modeling nurses' attitude toward using automated unit-based medication storage and distribution systems: an extension of the technology acceptance model.

PubMed

Escobar-Rodríguez, Tomás; Romero-Alonso, María Mercedes

2013-05-01

This article analyzes the attitude of nurses toward the use of automated unit-based medication storage and distribution systems and identifies influencing factors. Understanding these factors provides an opportunity to explore actions that might be taken to boost adoption by potential users. The theoretical grounding for this research is the Technology Acceptance Model. The Technology Acceptance Model specifies the causal relationships between perceived usefulness, perceived ease of use, attitude toward using, and actual usage behavior. The research model has six constructs, and nine hypotheses were generated from connections between these six constructs. These constructs include perceived risks, experience level, and training. The findings indicate that these three external variables are related to the perceived ease of use and perceived usefulness of automated unit-based medication storage and distribution systems, and therefore, they have a significant influence on attitude toward the use of these systems.

Theoretical and experimental research on diversity reception technology in NLOS UV communication system.

PubMed

Han, Dahai; Liu, Yile; Zhang, Kai; Luo, Pengfei; Zhang, Min

2012-07-02

Diversity reception technology is introduced into ultraviolet communication area in this article with theory analysis and practical experiment. The idea of diversity reception was known as a critical effective method in wireless communication area that improves the Gain significantly especially for the multi-scattering channel. A theoretical modeling and simulation method are proposed to depict the principle and feasibility of diversity reception adopted in UV communication. Besides, an experimental test-bed using ultraviolet LED and dual receiver of photomultiplier tube is setup to characterize the effects of diversity receiving in non-line-of-sight (NLOS) ultraviolet communication system. The experiment results are compared with the theoretical ones to verify the accuracy of theoretical modeling and the effect of diversity reception. Equal gain combining (EGC) method was adopted as the diversity mechanism in this paper. The research results of theory and experiment provide insight into the channel characteristics and achievable capabilities of ultraviolet communication system with diversity receiving method.

Assessment of A. I. D. environmental programs: Energy conservation in Pakistan. Technical report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Church, P.; Kumar, K.; Sowers, F.

1993-09-01

This report highlights a model of environmental management that appears to work in the current political and economic context of Pakistan. The model focuses on energy conservation. This evaluation examines how the U.S. Agency for International Development (A.I.D.) has assisted Pakistan in using market forces to promote the adoption of energy conservation practices and technologies. The central operating hypothesis of the evaluation is that the adoption of energy conservation practices and technologies responds to market incentives. The field study concludes that the Pakistani program of energy conservation activities, set in motion with A.I.D. support, cannot easily be reversed. With changesmore » in political and economic policies toward the environment in Pakistan, greater and more sustainable impact is possible. The experience of Pakistan energy conservation program raises three issues that merit careful examination both in the contexts of Pakistan's future program implementation and in other countries: The role of program subsidies; The role of nonproject assistance; and The involvement of nongovernmental organizations.« less

Online Community and User-Generated Content: Understanding the Role of Social Networks

ERIC Educational Resources Information Center

Oh, Jeong Ha

2010-01-01

Models of user generated content (UGC) creation such as Facebook, MySpace, and YouTube are facing robust growth accelerated by the adoption of Web 2.0 technologies and standards. These business models offer a fascinating avenue for exploring the role of social influence online. This dissertation is motivated by the success of YouTube, which is…

Educational Mixology: A Pedagogical Approach to Promoting Adoption of Technology to Support New Learning Models in Health Science Disciplines

ERIC Educational Resources Information Center

McDonald, Paige L.; Lyons, Laurie B.; Straker, Howard O.; Barnett, Jacqueline S.; Schlumpf, Karen S.; Cotton, Linda; Corcoran, Mary A.

2014-01-01

For disciplines heavily reliant upon traditional classroom teaching, such as medicine and health sciences, incorporating new learning models may pose challenges for students and faculty. In an effort to innovate curricula, better align courses to required student learning outcomes, and address the call to redesign health professions education,…

Energy Storage System Safety: Plan Review and Inspection Checklist

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cole, Pam C.; Conover, David R.

Codes, standards, and regulations (CSR) governing the design, construction, installation, commissioning, and operation of the built environment are intended to protect the public health, safety, and welfare. While these documents change over time to address new technology and new safety challenges, there is generally some lag time between the introduction of a technology into the market and the time it is specifically covered in model codes and standards developed in the voluntary sector. After their development, there is also a timeframe of at least a year or two until the codes and standards are adopted. Until existing model codes andmore » standards are updated or new ones are developed and then adopted, one seeking to deploy energy storage technologies or needing to verify the safety of an installation may be challenged in trying to apply currently implemented CSRs to an energy storage system (ESS). The Energy Storage System Guide for Compliance with Safety Codes and Standards1 (CG), developed in June 2016, is intended to help address the acceptability of the design and construction of stationary ESSs, their component parts, and the siting, installation, commissioning, operations, maintenance, and repair/renovation of ESS within the built environment.« less

An IT-enabled supply chain model: a simulation study

NASA Astrophysics Data System (ADS)

Cannella, Salvatore; Framinan, Jose M.; Barbosa-Póvoa, Ana

2014-11-01

During the last decades, supply chain collaboration practices and the underlying enabling technologies have evolved from the classical electronic data interchange (EDI) approach to a web-based and radio frequency identification (RFID)-enabled collaboration. In this field, most of the literature has focused on the study of optimal parameters for reducing the total cost of suppliers, by adopting operational research (OR) techniques. Herein we are interested in showing that the considered information technology (IT)-enabled structure is resilient, that is, it works well across a reasonably broad range of parameter settings. By adopting a methodological approach based on system dynamics, we study a multi-tier collaborative supply chain. Results show that the IT-enabled supply chain improves operational performance and customer service level. Nonetheless, benefits for geographically dispersed networks are of minor entity.

An Analysis of Information Technology Adoption by IRBs of Large Academic Medical Centers in the United States.

PubMed

He, Shan; Botkin, Jeffrey R; Hurdle, John F

2015-02-01

The clinical research landscape has changed dramatically in recent years in terms of both volume and complexity. This poses new challenges for Institutional Review Boards' (IRBs) review efficiency and quality, especially at large academic medical centers. This article discusses the technical facets of IRB modernization. We analyzed the information technology used by IRBs in large academic institutions across the United States. We found that large academic medical centers have a high electronic IRB adoption rate; however, the capabilities of electronic IRB systems vary greatly. We discuss potential use-cases of a fully exploited electronic IRB system that promise to streamline the clinical research work flow. The key to that approach utilizes a structured and standardized information model for the IRB application. © The Author(s) 2014.

Response to issues on GM agriculture in Africa: Are transgenic crops safe?

PubMed

Adenle, Ademola A

2011-10-08

The controversies surrounding transgenic crops, often called Genetically Modified Organisms (GMOs), call for a need to raise the level of public awareness of Genetic Modification (GM) technology in Africa. This should be accomplished by educating the public about the potential benefits and risks that may be associated with this new technology. In the last 15 years, GM crop producing countries have benefited from adoption of this new technology in the form of improved crop productivity, food security, and quality of life. The increased income to resource-poor farmers is a key benefit at the individual level especially as most countries using this technology are in the developing world, including three African countries (South Africa, Burkina Faso and Egypt). Despite clear benefits to countries and farmers who grow GMOs, many people are concerned about suspected potential risks associated with GMOs. This sparks debate as to whether GM technology should be adopted or not. Given the concerns regarding the safety of GMO products, thorough scientific investigation of safe application of GMOs is required. The objective of this paper is to respond to the issues of GM agriculture in Africa and some of the issues surrounding the adoption of GM crops between developed and developing countries. In this article, I analyse relevant papers relating to the adoption of GM technology particularly in developing countries including the few African countries that have adopted GM crops. The issues discussed span a wide range including: safety; potential benefits and risks; disputes between the United States of America (USA) and the European Union (EU) over adoption of GM crops with a focus on Africa continent. This article is concluded by summarising the issues raised and how GM technology can be adopted for agricultural development in Africa.

Response to issues on GM agriculture in Africa: Are transgenic crops safe?

PubMed Central

2011-01-01

The controversies surrounding transgenic crops, often called Genetically Modified Organisms (GMOs), call for a need to raise the level of public awareness of Genetic Modification (GM) technology in Africa. This should be accomplished by educating the public about the potential benefits and risks that may be associated with this new technology. In the last 15 years, GM crop producing countries have benefited from adoption of this new technology in the form of improved crop productivity, food security, and quality of life. The increased income to resource-poor farmers is a key benefit at the individual level especially as most countries using this technology are in the developing world, including three African countries (South Africa, Burkina Faso and Egypt). Despite clear benefits to countries and farmers who grow GMOs, many people are concerned about suspected potential risks associated with GMOs. This sparks debate as to whether GM technology should be adopted or not. Given the concerns regarding the safety of GMO products, thorough scientific investigation of safe application of GMOs is required. The objective of this paper is to respond to the issues of GM agriculture in Africa and some of the issues surrounding the adoption of GM crops between developed and developing countries. In this article, I analyse relevant papers relating to the adoption of GM technology particularly in developing countries including the few African countries that have adopted GM crops. The issues discussed span a wide range including: safety; potential benefits and risks; disputes between the United States of America (USA) and the European Union (EU) over adoption of GM crops with a focus on Africa continent. This article is concluded by summarising the issues raised and how GM technology can be adopted for agricultural development in Africa. PMID:21981823

Analysing the diffusion and adoption of mobile IT across social worlds.

PubMed

Nielsen, Jeppe Agger; Mengiste, Shegaw Anagaw

2014-06-01

The diffusion and adoption of information technology innovations (e.g. mobile information technology) in healthcare organizations involves a dynamic process of change with multiple stakeholders with competing interests, varying commitments, and conflicting values. Nevertheless, the extant literature on mobile information technology diffusion and adoption has predominantly focused on organizations and individuals as the unit of analysis, with little emphasis on the environment in which healthcare organizations are embedded. We propose the social worlds approach as a promising theoretical lens for dealing with this limitation together with reports from a case study of a mobile information technology innovation in elderly home care in Denmark including both the sociopolitical and organizational levels in the analysis. Using the notions of social worlds, trajectories, and boundary objects enables us to show how mobile information technology innovation in Danish home care can facilitate negotiation and collaboration across different social worlds in one setting while becoming a source of tension and conflicts in others. The trajectory of mobile information technology adoption was shaped by influential stakeholders in the Danish home care sector. Boundary objects across multiple social worlds legitimized the adoption, but the use arrangement afforded by the new technology interfered with important aspects of home care practices, creating resistance among the healthcare personnel.

Applying technology to visually support language and communication in individuals with autism spectrum disorders.

PubMed

Shane, Howard C; Laubscher, Emily H; Schlosser, Ralf W; Flynn, Suzanne; Sorce, James F; Abramson, Jennifer

2012-06-01

The burgeoning role of technology in society has provided opportunities for the development of new means of communication for individuals with Autism Spectrum Disorders (ASD). This paper offers an organizational framework for describing traditional and emerging augmentative and alternative communication (AAC) technology, and highlights how tools within this framework can support a visual approach to everyday communication and improve language instruction. The growing adoption of handheld media devices along with applications acquired via a consumer-oriented delivery model suggests a potential paradigm shift in AAC for people with ASD.

Disruptive Technologies in Workmanship: pH-neutral Flux, CDM ESD Events, HDI PCBs

NASA Technical Reports Server (NTRS)

Plante, Jeannette F.

2010-01-01

This slide presentation describes what it calls "disruptive technologies", i.e., "Low-end disruption" occurs when the rate at which products improve exceeds the rate at which customers can adopt the new performance. Therefore, at some point the performance of the product overshoots the needs of certain customer segments. At this point, a disruptive technology may enter the market and provide a product which has lower performance than the incumbent but which exceeds the requirements of certain segments, thereby gaining a foothold in the market. This concept is viewed in impacting incumbent technologies Rosin Flux, with a pH-neutral water soluble Flux; electrostatic discharge models being disrupted by the charge device model (CDM) concept; and High Density Interconnect Printed Circuit Boards (HDI PCB).

Workshop on personal motion technologies for healthy independent living: executive summary.

PubMed

Rodgers, Mary M; Cohen, Zohara A; Joseph, Lyndon; Rossi, Winifred

2012-06-01

The objective of the June 2010 "Workshop on Personal Motions Technologies for Healthy Independent Living" was to discuss personal motion technologies that might enable older adults and individuals with disability to live independently for longer periods. The 60 participants included clinicians, academic researchers, engineers, patient advocates, caregivers, members of the public, and federal representatives. The workshop was divided into 6 sessions that addressed the following: (1) use of technologies in identifying early indicators of disease or adverse events; (2) monitoring daily activities; (3) coping with impairment; (4) managing mild cognitive impairment; (5) rehabilitation and exercise in the home; and (6) caregiver support. Presentations and discussion focused on clinical needs, the health impact of addressing those needs, state-of-the-art technologies, and challenges to adoption of those technologies. Conclusions included the following: (1) Involvement of end-users in research and development will increase the likelihood that technologies will be adopted. (2) Integration of differing types of technology into a system that includes clinical measures is required for independent living. (3) Seniors are willing to sacrifice some privacy for an effective technology that keeps them in their homes as long as they control who receives their data. (4) Multilevel and multiscale models are needed to understand motion in the context of the environment and to design effective systems. Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Online Learning Adoption: Effects of Neuroticism, Openness to Experience, and Perceived Values

ERIC Educational Resources Information Center

Watjatrakul, Boonlert

2016-01-01

Purpose: Individual differences and perceived values of technology have received much attention in technology adoption literature. However, there is a lack of understanding of their relationships and effects on online learning adoption. The study aims to investigate the effects of two important personality traits (i.e. openness to experience and…

Information Technology Adoption and Procedural Performance in Health Care

ERIC Educational Resources Information Center

Shi, Yunfeng

2010-01-01

This dissertation studies two specific topics on information technologies in health care industry. (1) The status and change of integrated health care delivery system level IT spending and hospital level IT adoption between 1999 and 2006. (2) The potential link between hospital level IT adoptions and quality as quantified by procedural performance…

Benefits and Financial Impacts of Adopting Technology in Learning

ERIC Educational Resources Information Center

Grenman, Katri; Isomursu, Minna; Federley, Maija; Seisto, Anu

2013-01-01

This paper summarizes the results of an analysis of the impacts of adopting information and communication technology (ICT) solutions in a learning context. The analysis is based on a literature survey of articles reporting research cases studying the impact of adopting ICT based solutions in various learning contexts. The subject has been reviewed…

Quality and Electronic Health Records in Community Health Centers

ERIC Educational Resources Information Center

Lesh, Kathryn A.

2014-01-01

Adoption and use of health information technology, the electronic health record (EHR) in particular, has the potential to help improve the quality of care, increase patient safety, and reduce health care costs. Unfortunately, adoption and use of health information technology has been slow, especially when compared to the adoption and use of…

The 2005 Minnesota Internet Study: An Examination of Metro/Rural Differences in Digital Technology Adoption

ERIC Educational Resources Information Center

Center for Rural Policy and Development, 2006

2006-01-01

Since 2001 the Center for Rural Policy & Development (CRPD) has annually conducted surveys of rural Minnesota households to discern the level of computer ownership, Internet connectivity and broadband adoption throughout rural Minnesota. Since the beginning of this longitudinal effort, significant increases in technology adoption have been…

Social Media Adoption and Use among Information Technology Professionals and Implications for Leadership

ERIC Educational Resources Information Center

Lundahl Philpot, Eva

2013-01-01

This sequential, mixed methods research addressed emerging social media use practices among IT professionals and explored lived experiences of senior IT leaders relative to successful organizational social media adoption and use. The study was informed by structuration theory and elements from the universal technology adoption and use (UTAUT)…

Clean Energy Application Center

DOE Office of Scientific and Technical Information (OSTI.GOV)

Freihaut, Jim

2013-09-30

The Mid Atlantic Clean Energy Application Center (MACEAC), managed by The Penn State College of Engineering, serves the six states in the Mid-Atlantic region (Pennsylvania, New Jersey, Delaware, Maryland, Virginia and West Virginia) plus the District of Columbia. The goals of the Mid-Atlantic CEAC are to promote the adoption of Combined Heat and Power (CHP), Waste Heat Recovery (WHR) and District Energy Systems (DES) in the Mid Atlantic area through education and technical support to more than 1,200 regional industry and government representatives in the region. The successful promotion of these technologies by the MACEAC was accomplished through the followingmore » efforts; (1)The MACEAC developed a series of technology transfer networks with State energy and environmental offices, Association of Energy Engineers local chapters, local community development organizations, utilities and, Penn State Department of Architectural Engineering alumni and their firms to effectively educate local practitioners about the energy utilization, environmental and economic advantages of CHP, WHR and DES; (2) Completed assessments of the regional technical and market potential for CHP, WHR and DE technologies application in the context of state specific energy prices, state energy and efficiency portfolio development. The studies were completed for Pennsylvania, New Jersey and Maryland and included a set of incentive adoption probability models used as a to guide during implementation discussions with State energy policy makers; (3) Using the technical and market assessments and adoption incentive models, the Mid Atlantic CEAC developed regional strategic action plans for the promotion of CHP Application technology for Pennsylvania, New Jersey and Maryland; (4) The CHP market assessment and incentive adoption model information was discussed, on a continuing basis, with relevant state agencies, policy makers and Public Utility Commission organizations resulting in CHP favorable incentive programs in New Jersey, Pennsylvania, Maryland and Delaware; (5) Developed and maintained a MACEAC website to provide technical information and regional CHP, WHR and DE case studies and site profiles for use by interested stakeholders in information transfer and policy discussions; (6) Provided Technical Assistance through feasibility studies and on site evaluations. The MACEAC completed 28 technical evaluations and 9 Level 1 CHP analyses ; and (7) the MACEAC provided Technical Education to the region through a series of 29 workshops and webinars, 37 technical presentations, 14 seminars and participation in 13 CHP conferences.« less

Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.

PubMed

Adler-Milstein, Julia; Holmgren, A Jay; Kralovec, Peter; Worzala, Chantal; Searcy, Talisha; Patel, Vaishali

2017-11-01

While most hospitals have adopted electronic health records (EHRs), we know little about whether hospitals use EHRs in advanced ways that are critical to improving outcomes, and whether hospitals with fewer resources - small, rural, safety-net - are keeping up. Using 2008-2015 American Hospital Association Information Technology Supplement survey data, we measured "basic" and "comprehensive" EHR adoption among hospitals to provide the latest national numbers. We then used new supplement questions to assess advanced use of EHRs and EHR data for performance measurement and patient engagement functions. To assess a digital "advanced use" divide, we ran logistic regression models to identify hospital characteristics associated with high adoption in each advanced use domain. We found that 80.5% of hospitals adopted at least a basic EHR system, a 5.3 percentage point increase from 2014. Only 37.5% of hospitals adopted at least 8 (of 10) EHR data for performance measurement functions, and 41.7% of hospitals adopted at least 8 (of 10) patient engagement functions. Critical access hospitals were less likely to have adopted at least 8 performance measurement functions (odds ratio [OR] = 0.58; P < .001) and at least 8 patient engagement functions (OR = 0.68; P = 0.02). While the Health Information Technology for Economic and Clinical Health Act resulted in widespread hospital EHR adoption, use of advanced EHR functions lags and a digital divide appears to be emerging, with critical-access hospitals in particular lagging behind. This is concerning, because EHR-enabled performance measurement and patient engagement are key contributors to improving hospital performance. Hospital EHR adoption is widespread and many hospitals are using EHRs to support performance measurement and patient engagement. However, this is not happening across all hospitals. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Changing classroom designs: Easy; Changing instructors' pedagogies: Not so easy...

NASA Astrophysics Data System (ADS)

Lasry, Nathaniel; Charles, Elizabeth; Whittaker, Chris; Dedic, Helena; Rosenfield, Steven

2013-01-01

Technology-rich student-centered classrooms such as SCALE-UP and TEAL are designed to actively engage students. We examine what happens when instructors adopt the classroom but not the pedagogy that goes with it. We measure the effect of using socio-technological spaces on students' conceptual change and compare learning gains made in groups using different pedagogies (active learning vs. conventional instruction). We also correlate instructors' self-reported instructional approach (teacher-centered, student-centered) with their classes' normalized FCI gains. We find that technology-rich spaces are only effective when implemented with student-centered active pedagogies. In their absence, the technology-rich classroom is not significantly different from conventional teacher-centered classrooms. We also find that instructors' self-reported perception of student-centeredness accounts for a large fraction of the variance (r2 = 0.83) in their class' average normalized gain. Adopting student-centered pedagogies appears to be a necessary condition for the effective use of technology-rich spaces. However, adopting a new pedagogy seems more difficult than adopting new technology.

COREBA (cognition-oriented emergent behavior architecture)

NASA Astrophysics Data System (ADS)

Kwak, S. David

2000-06-01

Currently, many behavior implementation technologies are available for modeling human behaviors in Department of Defense (DOD) computerized systems. However, it is commonly known that any single currently adopted behavior implementation technology is not so capable of fully representing complex and dynamic human decision-making and cognition behaviors. The author views that the current situation can be greatly improved if multiple technologies are integrated within a well designed overarching architecture that amplifies the merits of each of the participating technologies while suppressing the limitations that are inherent with each of the technologies. COREBA uses an overarching behavior integration architecture that makes the multiple implementation technologies cooperate in a homogeneous environment while collectively transcending the limitations associated with the individual implementation technologies. Specifically, COREBA synergistically integrates Artificial Intelligence and Complex Adaptive System under Rational Behavior Model multi-level multi- paradigm behavior architecture. This paper will describe applicability of COREBA in DOD domain, behavioral capabilities and characteristics of COREBA and how the COREBA architectural integrates various behavior implementation technologies.

Exploring Teacher Pedagogy, Stages of Concern and Accessibility as Determinants of Technology Adoption

ERIC Educational Resources Information Center

Burke, Paul F.; Schuck, Sandy; Aubusson, Peter; Kearney, Matthew; Frischknecht, Bart

2018-01-01

This research examines how the pedagogical orientations of teachers affect technology adoption in the classroom. At the same time, the authors account for the stage of concern that teachers are experiencing regarding the use of the technology, their access to the technology and the level of schooling at which they teach.The authors' investigation…

Understanding Technology Acceptance in Pre-Service Teachers of Primary Mathematics in Hong Kong

ERIC Educational Resources Information Center

Wong, Gary K. W.

2015-01-01

The adoption of educational technology in teaching depends on how well a teacher accepts it. This paper draws on a technology acceptance survey of pre-service primary mathematics teachers in Hong Kong to study the factors influencing their technology acceptance. This work adopted a mixed method approach, in which quantitative data were collected…

Spaces for Interactive Engagement or Technology for Differential Academic Participation? Google Groups for Collaborative Learning at a South African University

ERIC Educational Resources Information Center

Rambe, Patient

2017-01-01

The rhetoric on the potential of Web 2.0 technologies to democratize online engagement of students often overlooks the discomforting, differential participation and asymmetrical engagement that accompanies student adoption of emerging technologies. This paper, therefore, constitutes a critical reality check for student adoption of technology to…

Keys to the Adoption and Use of Voice Recognition Technology in Organizations.

ERIC Educational Resources Information Center

Goette, Tanya

2000-01-01

Presents results from a field study of individuals with disabilities who used voice recognition technology (VRT). Results indicated that task-technology fit, training, the environment, and disability limitations were the differentiating items, and that using VRT for a trial period may be the major factor in successful adoption of the technology.…

Accurate and dynamic predictive model for better prediction in medicine and healthcare.

PubMed

Alanazi, H O; Abdullah, A H; Qureshi, K N; Ismail, A S

2018-05-01

Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance. In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life. The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity.

Multi-criteria development and incorporation into decision tools for health technology adoption.

PubMed

Poulin, Paule; Austen, Lea; Scott, Catherine M; Waddell, Cameron D; Dixon, Elijah; Poulin, Michelle; Lafrenière, René

2013-01-01

When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi-criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed-upon criteria and decision tools to enhance a pre-existing local health technology assessment (HTA) decision support program. The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools. A set of user-validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent. This framework can be used by others to develop decision-making criteria and tools to enhance similar technology adoption programs. The development of clear, user-validated criteria for evaluating new technologies adds a critical element to improve decision-making on technology adoption, and the decision tools ensure consistency, transparency, and real-world relevance.

Workplace Reform and TAFE: Four Case Studies.

ERIC Educational Resources Information Center

Hayton, Geoff; Loveder, Philip

To meet new market requirements and respond to increasing international competition, enterprises in Australia are introducing competitive strategies involving workplace reform. Many enterprises are adopting a strategy for change that is focused on human resource development rather than on technology. A four-phase model of development for an…

Adopt-A-MACT Project: A Manual of Model Documents and Guidance to Aid Compliance and Enforcement of the Nutritional Yeast MACT (Maximum Achievable Control Technology)

EPA Pesticide Factsheets

This manual provides a compliance checklist, and overview of emissions limitations, how to do performance tests, and an overview of applicability of general provisions for the Nutritional Yeast NESHAP.

Testing a structural model of young driver willingness to uptake Smartphone Driver Support Systems.

PubMed

Kervick, Aoife A; Hogan, Michael J; O'Hora, Denis; Sarma, Kiran M

2015-10-01

There is growing interest in the potential value of using phone applications that can monitor driver behaviour (Smartphone Driver Support Systems, 'SDSSs') in mitigating risky driving by young people. However, their value in this regard will only be realised if young people are willing to use this technology. This paper reports the findings of a study in which a novel structural model of willingness to use SDSSs was tested. Grounded in the driver monitoring and Technology Acceptance (TA) research literature, the model incorporates the perceived risks and gains associated with potential SDSS usage and additional social cognitive factors, including perceived usability and social influences. A total of 333 smartphone users, aged 18-24, with full Irish driving licenses completed an online questionnaire examining willingness or Behavioural Intention (BI) to uptake a SDSS. Following exploratory and confirmatory factor analyses, structural equation modelling indicated that perceived gains and social influence factors had significant direct effects on BI. Perceived risks and social influence also had significant indirect effects on BI, as mediated by perceived gains. Overall, this model accounted for 72.5% of the variance in willingness to uptake SDSSs. Multi-group structural models highlighted invariance of effects across gender, high and low risk drivers, and those likely or unlikely to adopt novel phone app technologies. These findings have implications for our understanding of the willingness of young drivers to adopt and use SDSSs, and highlight potential factors that could be targeted in behavioural change interventions seeking to improve usage rates. Copyright © 2015 Elsevier Ltd. All rights reserved.

Resistance Is Futile: But It Is Slowing the Pace of EHR Adoption Nonetheless

PubMed Central

Ford, Eric W.; Menachemi, Nir; Peterson, Lori T.; Huerta, Timothy R.

2009-01-01

Objective The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. 1 The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. Design Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a “Universal EHR Adoption” by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. Measurement EHR adoption parameters—external and internal coefficients of influence—are estimated using bass diffusion models and future adoption rates are projected. Results Comparing the EHR adoption rates before and after 2004 (2001–2004 and 2001–2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). Conclusions The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion. PMID:19261931

42 CFR 495.364 - Review and assessment of administrative activities and expenses of Medicaid provider health...

Code of Federal Regulations, 2013 CFR

2013-10-01

... and expenses of Medicaid provider health information technology adoption and operation. 495.364... administrative activities and expenses of Medicaid provider health information technology adoption and operation... its approved HIT planning advance planning document and health information technology implementation...

42 CFR 495.364 - Review and assessment of administrative activities and expenses of Medicaid provider health...

Code of Federal Regulations, 2012 CFR

2012-10-01

... and expenses of Medicaid provider health information technology adoption and operation. 495.364... administrative activities and expenses of Medicaid provider health information technology adoption and operation... its approved HIT planning advance planning document and health information technology implementation...

42 CFR 495.364 - Review and assessment of administrative activities and expenses of Medicaid provider health...

Code of Federal Regulations, 2014 CFR

2014-10-01

... and expenses of Medicaid provider health information technology adoption and operation. 495.364... administrative activities and expenses of Medicaid provider health information technology adoption and operation... its approved HIT planning advance planning document and health information technology implementation...

42 CFR 495.364 - Review and assessment of administrative activities and expenses of Medicaid provider health...

Code of Federal Regulations, 2010 CFR

2010-10-01

... and expenses of Medicaid provider health information technology adoption and operation. 495.364... administrative activities and expenses of Medicaid provider health information technology adoption and operation... its approved HIT planning advance planning document and health information technology implementation...

42 CFR 495.364 - Review and assessment of administrative activities and expenses of Medicaid provider health...

Code of Federal Regulations, 2011 CFR

2011-10-01

... and expenses of Medicaid provider health information technology adoption and operation. 495.364... administrative activities and expenses of Medicaid provider health information technology adoption and operation... its approved HIT planning advance planning document and health information technology implementation...

A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training.

PubMed

Wang, Peng; Wu, Peng; Wang, Jun; Chi, Hung-Lin; Wang, Xiangyu

2018-06-08

Virtual Reality (VR) has been rapidly recognized and implemented in construction engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.

When to Wait for More Evidence? Real Options Analysis in Proton Therapy

PubMed Central

Abrams, Keith R.; de Ruysscher, Dirk; Pijls-Johannesma, Madelon; Peters, Hans J.M.; Beutner, Eric; Lambin, Philippe; Joore, Manuela A.

2011-01-01

Purpose. Trends suggest that cancer spending growth will accelerate. One method for controlling costs is to examine whether the benefits of new technologies are worth the extra costs. However, especially new and emerging technologies are often more costly, while limited clinical evidence of superiority is available. In that situation it is often unclear whether to adopt the new technology now, with the risk of investing in a suboptimal therapy, or to wait for more evidence, with the risk of withholding patients their optimal treatment. This trade-off is especially difficult when it is costly to reverse the decision to adopt a technology, as is the case for proton therapy. Real options analysis, a technique originating from financial economics, assists in making this trade-off. Methods. We examined whether to adopt proton therapy, as compared to stereotactic body radiotherapy, in the treatment of inoperable stage I non-small cell lung cancer. Three options are available: adopt without further research; adopt and undertake a trial; or delay adoption and undertake a trial. The decision depends on the expected net gain of each option, calculated by subtracting its total costs from its expected benefits. Results. In The Netherlands, adopt and trial was found to be the preferred option, with an optimal sample size of 200 patients. Increase of treatment costs abroad and costs of reversal altered the preferred option. Conclusion. We have shown that real options analysis provides a transparent method of weighing the costs and benefits of adopting and/or further researching new and expensive technologies. PMID:22147003

An Evaluation of the Adoption of Integrated Soil Fertility Management Practices among Women Farmers in Danja, Nigeria

ERIC Educational Resources Information Center

Damisa, M. A.; Igonoh, E.

2007-01-01

The relationship between technology adoption and farmers' socio-economic characteristics can never be over emphasized. This study tests the determinants of technology adoption by women farmers. The result from the Logit analysis of data from Unguwan-Madaki showed that the socio-economic characteristics of women farmers significantly affect their…

Dynamic Analysis of UTAUT: The Case of Microsoft Project Management Software

ERIC Educational Resources Information Center

Abualbasal, Wejdan; Abu-Shanab, Emad; Al-Quraan, Heba

2016-01-01

The technology adoption domain is rich with studies that utilized a cross-sectional snapshot of subjects' perceptions regarding the adoption of new technology. This research tried to implement a longitudinal study that took three measures within 4 months to estimate the influence of time and experience on students' perceptions. The study adopted a…

Investigating Factors Related to Virtual Private Network Adoption in Small Businesses

ERIC Educational Resources Information Center

Lederer, Karen

2012-01-01

The purpose of this quantitative study was to investigate six factors that may influence adoption of virtual private network (VPN) technologies in small businesses with fewer than 100 employees. Prior research indicated small businesses employing fewer than 100 workers do not adopt VPN technology at the same rate as larger competitors, and the…

Privacy and senior willingness to adopt smart home information technology in residential care facilities.

PubMed

Courtney, K L

2008-01-01

With large predicted increases of the older adult (65 years and older) population, researchers have been exploring the use of smart home information technologies (IT) in residential care (RC) facilities to enhance resident quality of life and safety. Older adults' perceptions of privacy can inhibit their acceptance and subsequent adoption of smart home IT. This qualitative study, guided by principles of grounded theory research, investigated the relationship between privacy, living environment and willingness of older adults living in residential care facilities to adopt smart home IT through focus groups and individual interviews. The findings from this study indicate that privacy can be a barrier for older adults' adoption of smart home IT; however their own perception of their need for the technology may override their privacy concerns. Privacy concerns, as a barrier to technology adoption, can be influenced by both individual-level and community-level factors. Further exploration of the factors influencing older adults' perceptions of smart home IT need is necessary.

Foregone benefits of important food crop improvements in Sub-Saharan Africa

PubMed Central

2017-01-01

A number of new crops have been developed that address important traits of particular relevance for smallholder farmers in Africa. Scientists, policy makers, and other stakeholders have raised concerns that the approval process for these new crops causes delays that are often scientifically unjustified. This article develops a real option model for the optimal regulation of a risky technology that enhances economic welfare and reduces malnutrition. We consider gradual adoption of the technology and show that delaying approval reduces uncertainty about perceived risks of the technology. Optimal conditions for approval incorporate parameters of the stochastic processes governing the dynamics of risk. The model is applied to three cases of improved crops, which either are, or are expected to be, delayed by the regulatory process. The benefits and costs of the crops are presented in a partial equilibrium that considers changes in adoption over time and the foregone benefits caused by a delay in approval under irreversibility and uncertainty. We derive the equilibrium conditions where the net-benefits of the technology equal the costs that would justify a delay. The sooner information about the safety of the technology arrive, the lower the costs for justifying a delay need to be i.e. it pays more to delay. The costs of a delay can be substantial: e.g. a one year delay in approval of the pod-borer resistant cowpea in Nigeria will cost the country about 33 million USD to 46 million USD and between 100 and 3,000 lives. PMID:28749984

FUEL ECONOMY AND CO2 EMISSIONS STANDARDS, MANUFACTURER PRICING STRATEGIES, AND FEEBATES

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, Changzheng; Greene, David L; Bunch, Dr David S.

2012-01-01

Corporate Average Fuel Economy (CAFE) standards and CO2 emissions standards for 2012 to 2016 have significantly increased the stringency of requirements for new light-duty vehicle fuel efficiency. This study investigates the role of technology adoption and pricing strategies in meeting new standards, as well as the impact of feebate policies. The analysis is carried out by means of a dynamic optimization model that simulates manufacturer decisions with the objective of maximizing social surplus while simultaneously considering consumer response and meeting CAFE and emissions standards. The results indicate that technology adoption plays the major role and that the provision of compliancemore » flexibility and the availability of cost-effective advanced technologies help manufacturers reduce the need for pricing to induce changes in the mix of vehicles sold. Feebates, when implemented along with fuel economy and emissions standards, can bring additional fuel economy improvement and emissions reduction, but the benefit diminishes with the increasing stringency of the standards.« less

Self-Efficacy and New Technology Adoption and Use among Trainee Mid-Wives in Ijebu-Ode, Nigeria

ERIC Educational Resources Information Center

Awodoyin, Anuoluwa; Adetoro, Niran; Osisanwo, Temitope

2017-01-01

Technology has impacted positively on health care delivery and particularly medical personnel have had to embrace emerging technologies in order to provide safe, competent and quality health care. The study investigated self-efficacy for new technology adoption and use by trainee midwives at the school of midwifery, Ijebu-Ode. The study is a…

Arctic Engineering--Through Human Eyes.

ERIC Educational Resources Information Center

Simmonds, W. H. C.

Adopting technology to people and examining projects through the eyes of those concerned are two ways new technology and engineering can be installed and successfully operated under the adverse conditions of northern Canada and in the face of predicted labor shortages in the 1980's. Adopting a more flexible technology provides the opportunity for…

Challenges Facing Adoption of Information Communication Technology in African Universities

ERIC Educational Resources Information Center

Murgor, Titus Kiptoo

2015-01-01

A significant number of the universities and higher educational institutions have adopted the latest technology and implemented it productively, for the development of skilled human resource in respective area of specialization, as part of their responsibility. Information and communication Technology (ICT) has grown tremendously around the globe…

Distributed Energy Resources On-Site Optimization for Commercial Buildings with Electric and Thermal Storage Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lacommare, Kristina S H; Stadler, Michael; Aki, Hirohisa

The addition of storage technologies such as flow batteries, conventional batteries, and heat storage can improve the economic as well as environmental attractiveness of on-site generation (e.g., PV, fuel cells, reciprocating engines or microturbines operating with or without CHP) and contribute to enhanced demand response. In order to examine the impact of storage technologies on demand response and carbon emissions, a microgrid's distributed energy resources (DER) adoption problem is formulated as a mixed-integer linear program that has the minimization of annual energy costs as its objective function. By implementing this approach in the General Algebraic Modeling System (GAMS), the problemmore » is solved for a given test year at representative customer sites, such as schools and nursing homes, to obtain not only the level of technology investment, but also the optimal hourly operating schedules. This paper focuses on analysis of storage technologies in DER optimization on a building level, with example applications for commercial buildings. Preliminary analysis indicates that storage technologies respond effectively to time-varying electricity prices, i.e., by charging batteries during periods of low electricity prices and discharging them during peak hours. The results also indicate that storage technologies significantly alter the residual load profile, which can contribute to lower carbon emissions depending on the test site, its load profile, and its adopted DER technologies.« less

Application of the Human Activity Assistive Technology model for occupational therapy research.

PubMed

Giesbrecht, Ed

2013-08-01

Theoretical models provide a framework for describing practice and integrating evidence into systematic research. There are few models that relate specifically to the provision of assistive technology in occupational therapy practice. The Human Activity Assistive Technology model is an enduring example that has continued to develop by integrating a social model of disability, concepts from occupational therapy theory and principles of assistive technology adoption and abandonment. This study first describes the core concepts of the Human Activity Assistive Technology model and reviews its development over three successive published versions. A review of the research literature reflects application of the model to clinical practice, study design, outcome measure selection and interpretation of results, particularly among occupational therapists. An evaluative framework is used to critique the adequacy of the Human Activity Assistive Technology model for practice and research, exploring attributes of clarity, simplicity, generality, accessibility and importance. Finally, recommendations are proposed for continued development of the model and research applications. Most of the existing research literature employs the Human Activity Assistive Technology model for background and study design; there is emerging evidence to support the core concepts as predictive factors. Although the concepts are generally simple, clear and applicable to occupational therapy practice and research, evolving terminology and outcomes become more complex with the conflation of integrated theories. The development of the Human Activity Assistive Technology model offers enhanced access and application for occupational therapists, but poses challenges to clarity among concepts. Suggestions are made for further development and applications of the model. © 2013 Occupational Therapy Australia.

Factors Influencing F/OSS Cloud Computing Software Product Success: A Quantitative Study

ERIC Educational Resources Information Center

Letort, D. Brian

2012-01-01

Cloud Computing introduces a new business operational model that allows an organization to shift information technology consumption from traditional capital expenditure to operational expenditure. This shift introduces challenges from both the adoption and creation vantage. This study evaluates factors that influence Free/Open Source Software…

New Models in Transcultural Learning Institutions and Curricula

ERIC Educational Resources Information Center

Van Hook, Steven R.

2011-01-01

This research examines driving issues forcing change in international higher education, changes institutions might adopt to adapt to those drivers, new academic policies, and concludes with consideration of the promise and peril the future might hold. The interrelated issues of governance, funding, faculty, technologies, curriculum, and so on, are…

A Collaborative Model for Ubiquitous Learning Environments

ERIC Educational Resources Information Center

Barbosa, Jorge; Barbosa, Debora; Rabello, Solon

2016-01-01

Use of mobile devices and widespread adoption of wireless networks have enabled the emergence of Ubiquitous Computing. Application of this technology to improving education strategies gave rise to Ubiquitous e-Learning, also known as Ubiquitous Learning. There are several approaches to organizing ubiquitous learning environments, but most of them…

Role of Open and Distance Education in Integrating Education with Development--Emerging Model of Networked Collaborative Learning and Net-working.

ERIC Educational Resources Information Center

Takwale, Ram

1998-01-01

Discusses the evolution of the educational system in India, developments in new communication technologies, and plans by the open and distance education system to develop educational networks. Policies and programs adopted by the Distance Education Council are outlined. (AEF)

Beyond Computer Planning: Managing Educational Computer Innovations.

ERIC Educational Resources Information Center

Washington, Wenifort

The vast underutilization of technology in educational environments suggests the need for more research to develop models to successfully adopt and diffuse computer systems in schools. Of 980 surveys mailed to various Ohio public schools, 529 were completed and returned to help determine current attitudes and perceptions of teachers and…

Understanding the Nature and Extent of Farm and Ranch Diversification in North America

ERIC Educational Resources Information Center

Barbieri, Carla; Mahoney, Edward; Butler, Larry

2008-01-01

Pressure to adopt enhanced production technologies, changing government support policies, increasing and more diverse competition, and changing markets have posed economic challenges to North American farmers over the past two decades. As a response, farmers are adjusting their production model by incorporating agricultural related enterprises.…

Adopting Webcasts over Time: The Influence of Perceptions and Attitudes

ERIC Educational Resources Information Center

Lust, Griet; Elen, Jan; Clarebout, Geraldine

2012-01-01

Given the popularity of webcasts and their educational benefits as stressed in previous research, this paper investigates students' acceptance and continued use of webcasts in an undergraduate course. Furthermore, the study explores the determinants of students' webcast use by employing the well-validated Technology Acceptance Model (TAM) of Davis…

Designing and Piloting a Program to Provide Water Filters and Improved Cookstoves in Rwanda

PubMed Central

Barstow, Christina K.; Ngabo, Fidele; Rosa, Ghislaine; Majorin, Fiona; Boisson, Sophie; Clasen, Thomas; Thomas, Evan A.

2014-01-01

Background In environmental health interventions addressing water and indoor air quality, multiple determinants contribute to adoption. These may include technology selection, technology distribution and education methods, community engagement with behavior change, and duration and magnitude of implementer engagement. In Rwanda, while the country has the fastest annual reduction in child mortality in the world, the population is still exposed to a disease burden associated with environmental health challenges. Rwanda relies both on direct donor funding and coordination of programs managed by international non-profits and health sector businesses working on these challenges. Methods and Findings This paper describes the design, implementation and outcomes of a pilot program in 1,943 households across 15 villages in the western province of Rwanda to distribute and monitor the use of household water filters and improved cookstoves. Three key program design criteria include a.) an investment in behavior change messaging and monitoring through community health workers, b.) free distributions to encourage community-wide engagement, and c.) a private-public partnership incentivized by a business model designed to encourage “pay for performance”. Over a 5-month period of rigorous monitoring, reported uptake was maintained at greater than 90% for both technologies, although exclusive use of the stove was reported in only 28.5% of households and reported water volume was 1.27 liters per person per day. On-going qualitative monitoring suggest maintenance of comparable adoption rates through at least 16 months after the intervention. Conclusion High uptake and sustained adoption of a water filter and improved cookstove was measured over a five-month period with indications of continued comparable adoption 16 months after the intervention. The design attributes applied by the implementers may be sufficient in a longer term. In particular, sustained and comprehensive engagement by the program implementer is enabled by a pay-for-performance business model that rewards sustained behavior change. PMID:24676210

Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE)

PubMed Central

Czaja, Sara J.; Charness, Neil; Fisk, Arthur D.; Hertzog, Christopher; Nair, Sankaran N.; Rogers, Wendy A.; Sharit, Joseph

2006-01-01

The successful adoption of technology is becoming increasingly important to functional independence. The present article reports findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE) on the use of technology among community-dwelling adults. The sample included 1,204 individuals ranging in age from 18–91 years. All participants completed a battery that included measures of demographic characteristics, self-rated health, experience with technology, attitudes toward computers, and component cognitive abilities. Findings indicate that the older adults were less likely than younger adults to use technology in general, computers, and the World Wide Web. The results also indicate that computer anxiety, fluid intelligence, and crystallized intelligence were important predictors of the use of technology. The relationship between age and adoption of technology was mediated by cognitive abilities, computer self-efficacy, and computer anxiety. These findings are discussed in terms of training strategies to promote technology adoption. PMID:16768579

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study.

PubMed

Koivumäki, Timo; Pekkarinen, Saara; Lappi, Minna; Väisänen, Jere; Juntunen, Jouni; Pikkarainen, Minna

2017-12-22

Constantly increasing health care costs have led countries and health care providers to the point where health care systems must be reinvented. Consequently, electronic health (eHealth) has recently received a great deal of attention in social sciences in the domain of Internet studies. However, only a fraction of these studies focuses on the acceptability of eHealth, making consumers' subjective evaluation an understudied field. This study will address this gap by focusing on the acceptance of MyData-based preventive eHealth services from the consumer point of view. We are adopting the term "MyData", which according to a White Paper of the Finnish Ministry of Transport and Communication refers to "1) a new approach, a paradigm shift in personal data management and processing that seeks to transform the current organization centric system to a human centric system, 2) to personal data as a resource that the individual can access and control." The aim of this study was to investigate what factors influence consumers' intentions to use a MyData-based preventive eHealth service before use. We applied a new adoption model combining Venkatesh's unified theory of acceptance and use of technology 2 (UTAUT2) in a consumer context and three constructs from health behavior theories, namely threat appraisals, self-efficacy, and perceived barriers. To test the research model, we applied structural equation modeling (SEM) with Mplus software, version 7.4. A Web-based survey was administered. We collected 855 responses. We first applied traditional SEM for the research model, which was not statistically significant. We then tested for possible heterogeneity in the data by running a mixture analysis. We found that heterogeneity was not the cause for the poor performance of the research model. Thus, we moved on to model-generating SEM and ended up with a statistically significant empirical model (root mean square error of approximation [RMSEA] 0.051, Tucker-Lewis index [TLI] 0.906, comparative fit index [CFI] 0.915, and standardized root mean square residual 0.062). According to our empirical model, the statistically significant drivers for behavioral intention were effort expectancy (beta=.191, P<.001), self-efficacy (beta=.449, P<.001), threat appraisals (beta=.416, P<.001), and perceived barriers (beta=-.212, P=.009). Our research highlighted the importance of health-related factors when it comes to eHealth technology adoption in the consumer context. Emphasis should especially be placed on efforts to increase consumers' self-efficacy in eHealth technology use and in supporting healthy behavior. ©Timo Koivumäki, Saara Pekkarinen, Minna Lappi, Jere Väisänen, Jouni Juntunen, Minna Pikkarainen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.12.2017.

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

PubMed Central

Pekkarinen, Saara; Lappi, Minna; Väisänen, Jere; Juntunen, Jouni; Pikkarainen, Minna

2017-01-01

Background Constantly increasing health care costs have led countries and health care providers to the point where health care systems must be reinvented. Consequently, electronic health (eHealth) has recently received a great deal of attention in social sciences in the domain of Internet studies. However, only a fraction of these studies focuses on the acceptability of eHealth, making consumers’ subjective evaluation an understudied field. This study will address this gap by focusing on the acceptance of MyData-based preventive eHealth services from the consumer point of view. We are adopting the term "MyData", which according to a White Paper of the Finnish Ministry of Transport and Communication refers to "1) a new approach, a paradigm shift in personal data management and processing that seeks to transform the current organization centric system to a human centric system, 2) to personal data as a resource that the individual can access and control." Objective The aim of this study was to investigate what factors influence consumers’ intentions to use a MyData-based preventive eHealth service before use. Methods We applied a new adoption model combining Venkatesh’s unified theory of acceptance and use of technology 2 (UTAUT2) in a consumer context and three constructs from health behavior theories, namely threat appraisals, self-efficacy, and perceived barriers. To test the research model, we applied structural equation modeling (SEM) with Mplus software, version 7.4. A Web-based survey was administered. We collected 855 responses. Results We first applied traditional SEM for the research model, which was not statistically significant. We then tested for possible heterogeneity in the data by running a mixture analysis. We found that heterogeneity was not the cause for the poor performance of the research model. Thus, we moved on to model-generating SEM and ended up with a statistically significant empirical model (root mean square error of approximation [RMSEA] 0.051, Tucker-Lewis index [TLI] 0.906, comparative fit index [CFI] 0.915, and standardized root mean square residual 0.062). According to our empirical model, the statistically significant drivers for behavioral intention were effort expectancy (beta=.191, P<.001), self-efficacy (beta=.449, P<.001), threat appraisals (beta=.416, P<.001), and perceived barriers (beta=−.212, P=.009). Conclusions Our research highlighted the importance of health-related factors when it comes to eHealth technology adoption in the consumer context. Emphasis should especially be placed on efforts to increase consumers’ self-efficacy in eHealth technology use and in supporting healthy behavior. PMID:29273574

Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components

DOE PAGES

Huang, Runze; Riddle, Matthew; Graziano, Diane; ...

2015-05-08

Additive manufacturing (AM) holds great potential for improving materials efficiency, reducing life-cycle impacts, and enabling greater engineering functionality compared to conventional manufacturing (CM) processes. For these reasons, AM has been adopted by a growing number of aircraft component manufacturers to achieve more lightweight, cost-effective designs. This study estimates the net changes in life-cycle primary energy and greenhouse gas emissions associated with AM technologies for lightweight metallic aircraft components through the year 2050, to shed light on the environmental benefits of a shift from CM to AM processes in the U.S. aircraft industry. A systems modeling framework is presented, with integratesmore » engineering criteria, life-cycle environmental data, and aircraft fleet stock and fuel use models under different AM adoption scenarios. Estimated fleetwide life-cycle primary energy savings in a rapid adoption scenario reach 70-174 million GJ/year in 2050, with cumulative savings of 1.2-2.8 billion GJ. Associated cumulative emission reduction potentials of CO2e were estimated at 92.8-217.4 million metric tons. About 95% of the savings is attributed to airplane fuel consumption reductions due to lightweighting. In addition, about 4050 tons aluminum, 7600 tons titanium and 8100 tons of nickel alloys could be saved per year in 2050. The results indicate a significant role of AM technologies in helping society meet its long-term energy use and GHG emissions reduction goals, and highlight barriers and opportunities for AM adoption for the aircraft industry.« less

Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, Runze; Riddle, Matthew; Graziano, Diane

Additive manufacturing (AM) holds great potential for improving materials efficiency, reducing life-cycle impacts, and enabling greater engineering functionality compared to conventional manufacturing (CM) processes. For these reasons, AM has been adopted by a growing number of aircraft component manufacturers to achieve more lightweight, cost-effective designs. This study estimates the net changes in life-cycle primary energy and greenhouse gas emissions associated with AM technologies for lightweight metallic aircraft components through the year 2050, to shed light on the environmental benefits of a shift from CM to AM processes in the U.S. aircraft industry. A systems modeling framework is presented, with integratesmore » engineering criteria, life-cycle environmental data, and aircraft fleet stock and fuel use models under different AM adoption scenarios. Estimated fleetwide life-cycle primary energy savings in a rapid adoption scenario reach 70-174 million GJ/year in 2050, with cumulative savings of 1.2-2.8 billion GJ. Associated cumulative emission reduction potentials of CO2e were estimated at 92.8-217.4 million metric tons. About 95% of the savings is attributed to airplane fuel consumption reductions due to lightweighting. In addition, about 4050 tons aluminum, 7600 tons titanium and 8100 tons of nickel alloys could be saved per year in 2050. The results indicate a significant role of AM technologies in helping society meet its long-term energy use and GHG emissions reduction goals, and highlight barriers and opportunities for AM adoption for the aircraft industry.« less

Development of a Risk-Based Comparison Methodology of Carbon Capture Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Engel, David W.; Dalton, Angela C.; Dale, Crystal

2014-06-01

Given the varying degrees of maturity among existing carbon capture (CC) technology alternatives, an understanding of the inherent technical and financial risk and uncertainty associated with these competing technologies is requisite to the success of carbon capture as a viable solution to the greenhouse gas emission challenge. The availability of tools and capabilities to conduct rigorous, risk–based technology comparisons is thus highly desirable for directing valuable resources toward the technology option(s) with a high return on investment, superior carbon capture performance, and minimum risk. To address this research need, we introduce a novel risk-based technology comparison method supported by anmore » integrated multi-domain risk model set to estimate risks related to technological maturity, technical performance, and profitability. Through a comparison between solid sorbent and liquid solvent systems, we illustrate the feasibility of estimating risk and quantifying uncertainty in a single domain (modular analytical capability) as well as across multiple risk dimensions (coupled analytical capability) for comparison. This method brings technological maturity and performance to bear on profitability projections, and carries risk and uncertainty modeling across domains via inter-model sharing of parameters, distributions, and input/output. The integration of the models facilitates multidimensional technology comparisons within a common probabilistic risk analysis framework. This approach and model set can equip potential technology adopters with the necessary computational capabilities to make risk-informed decisions about CC technology investment. The method and modeling effort can also be extended to other industries where robust tools and analytical capabilities are currently lacking for evaluating nascent technologies.« less

Technologies to Combat Aedes Mosquitoes: A Model Based on Smart City.

PubMed

de Souza Silva, Geovanna Cristine; Peltonen, Laura-Maria; Pruinelli, Lisiane; Yoshikazu Shishido, Henrique; Jacklin Eler, Gabrielle

2018-01-01

Aedes aegypti and Aedes albopictus mosquitoes are responsible for the transmission of diseases such as dengue fever, yellow fever, chikungunya fever, zika virus fever, some of which can cause irreversible central nervous system problems and death. This study investigates what technologies are being used for combatting and monitoring the Aedes mosquitoes and to propose joining these technologies into a single and complete solution using the Smart Cities concept. A search for newscasts on Google and mobile apps in app stores were performed to identify technological solutions for combat to Aedes mosquitoes. Also, a model for joint technology was proposed. Results identified the following technologies: 170 software, two sensors, two drones, one electronic device, ten mosquito traps/lures, seven biological tools, six biotechnologies, and eight chemical formulations. Technological resources and adoption of preventive measures by the population could be a useful method for the mosquito control. Examples include a georeferenced model for identification and examination of larvae, application of chemical/biological products, real-time mapping, sending of educational materials via email or social media for the population, and alerts to health professionals in the zones of combat/risk. In combination, these technologies may indicate a better solution to the current problem.

Information Technology Diffusion: A Comparative Case Study of Intranet Adoption

DTIC Science & Technology

1999-07-01

Information Technology Diffusion: A Comparative Case Study of Intranet Adoption George A. Zolla Jr. Naval Postgraduate School, Monterey, CA 93943...and diffusion of intranet technology is then presented. I. INTRODUCTION An intranet is an organization’s internal computer network protected from the... Information Systems (IS) strategy links to implementation [16]. More research dealing with the implementation of new technology in organizations is needed

The role of privacy protection in healthcare information systems adoption.

PubMed

Hsu, Chien-Lung; Lee, Ming-Ren; Su, Chien-Hui

2013-10-01

Privacy protection is an important issue and challenge in healthcare information systems (HISs). Recently, some privacy-enhanced HISs are proposed. Users' privacy perception, intention, and attitude might affect the adoption of such systems. This paper aims to propose a privacy-enhanced HIS framework and investigate the role of privacy protection in HISs adoption. In the proposed framework, privacy protection, access control, and secure transmission modules are designed to enhance the privacy protection of a HIS. An experimental privacy-enhanced HIS is also implemented. Furthermore, we proposed a research model extending the unified theory of acceptance and use of technology by considering perceived security and information security literacy and then investigate user adoption of a privacy-enhanced HIS. The experimental results and analyses showed that user adoption of a privacy-enhanced HIS is directly affected by social influence, performance expectancy, facilitating conditions, and perceived security. Perceived security has a mediating effect between information security literacy and user adoption. This study proposes several implications for research and practice to improve designing, development, and promotion of a good healthcare information system with privacy protection.

The determinants of home healthcare robots adoption: an empirical investigation.

PubMed

Alaiad, Ahmad; Zhou, Lina

2014-11-01

Home healthcare robots promise to make clinical information available at the right place and time, thereby reducing error and increasing safety and quality. However, it has been frequently reported that more than 40% of previous information technology (IT) developments have failed or been abandoned due to the lack of understanding of the sociotechnical aspects of IT. Previous home healthcare robots research has focused on technology development and clinical applications. There has been little discussion of associated social, technical and managerial issues that are arguably of equal importance for robot success. To fill this knowledge gap, this research aims to understand the determinants of home healthcare robots adoption from these aspects by applying technology acceptance theories. We employed both qualitative and quantitative methods. The participants were recruited from home healthcare agencies located in the U.S. (n=108), which included both patients and healthcare professionals. We collected data via a survey study to test a research model. The usage intention of home healthcare robots is a function of social influence, performance expectancy, trust, privacy concerns, ethical concerns and facilitating conditions. Among them, social influence is the strongest predictor. Monitoring vital signs and facilitating communication with family and medication reminders are the most preferable tasks and applications for robots. Sociotechnical factors play a powerful role in explaining the adoption intention for home healthcare robots. The findings provide insights on how home healthcare service providers and robot designers may improve the success of robot technologies. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Factors associated with the diffusion rate of innovations: a pilot study from the perspective of the Brazilian Unified National Health System.

PubMed

Schneiders, Roberto Eduardo; Ronsoni, Ricardo de March; Sarti, Flávia Mori; Nita, Marcelo Eidi; Bastos, Ediane de Assis; Zimmermann, Ivan Ricardo; Ferreira, Fernando Fagundes

2016-10-10

Budget Impact Analyses require a set of essential information on health technology innovation, including expected rates of adoption. There is an absence of studies investigating trends, magnitude of budgetary effects and determinants of diffusion rates for health technology innovations worldwide during the last decades. The present study proposes a pilot assessment on main determinants influencing diffusion rates of pharmaceutical innovations within the Brazilian Unified National Health System (SUS). Data from the Brazilian Health Informatics Department (DATASUS) was gathered to establish the main determinants of diffusion rates of health technology innovations in Brazil, specifically referring to pharmaceutical innovations incorporated in the Brazilian Program for Specialized Pharmaceutical Services (CEAF) at SUS. Information was retrieved on DATASUS relating to patients who had used one of the medicines incorporated into CEAF at least three years prior to the beginning of the study (2015) for treatment of each health condition available. Thus, data from patients adopting 10 different medicines were analyzed in the study. Results from the zero-one inflated beta model showed a higher influence on diffusion rates of pharmaceutical innovations due to: number of pharmaceutical competitors for treatment of the same disease available at CEAF (negative); medicine used in combination with other medication (positive); and innovative medicine within the SUS (positive). Further research on diffusion rates of health technology innovations is required, including wider scope of diseases and medications, potential confusion factors and other variables that may influence rates of adoption in different health systems.

Institutional and policy issues in adopting advanced public transportation systems technology

DOT National Transportation Integrated Search

1995-09-01

This project, Institutional and Policy Issues in Adopting Advanced Public Transportation Systems Technologies, aimed to study critical mass transportation issues associated with the implementation of intelligent transportation systems (ITS) in the no...

Telehealth among US hospitals: several factors, including state reimbursement and licensure policies, influence adoption.

PubMed

Adler-Milstein, Julia; Kvedar, Joseph; Bates, David W

2014-02-01

Telehealth is widely believed to hold great potential to improve access to, and increase the value of, health care. Gaining a better understanding of why some hospitals adopt telehealth technologies while others do not is critically important. We examined factors associated with telehealth adoption among US hospitals. Data from the Information Technology Supplement to the American Hospital Association's 2012 annual survey of acute care hospitals show that 42 percent of US hospitals have telehealth capabilities. Hospitals more likely to have telehealth capabilities are teaching hospitals, those equipped with additional advanced medical technology, those that are members of a larger system, and those that are nonprofit institutions. Rates of hospital telehealth adoption by state vary substantially and are associated with differences in state policy. Policies that promote private payer reimbursement for telehealth are associated with greater likelihood of telehealth adoption, while policies that require out-of-state providers to have a special license to provide telehealth services reduce the likelihood of adoption. Our findings suggest steps that policy makers can take to achieve greater adoption of telehealth by hospitals.

The Behavioral Intentions of Hong Kong Primary Teachers in Adopting Educational Technology

ERIC Educational Resources Information Center

Wong, Gary K. W.

2016-01-01

The use of educational technology by Hong Kong primary school teachers has been realized by the government's long-term support to the technology infrastructure, professional training, technical support, and development of teaching resources in local primary schools. However, the high adoption rate may not reflect the willingness of teachers to…

Technology and Employment. Innovation and Growth in the U.S. Economy. Executive Summary.

ERIC Educational Resources Information Center

Cyert, Richard M., Ed.; Mowery, David C., Ed.

Technological change will contribute significantly to growth in employment opportunities and wages. However, workers in specific occupations and industries may have to move among jobs and careers. Slow adoption by U.S. firms of productivity-increasing technologies is likely to cause more job displacement than their rapid adoption. New technologies…

Perceived Gender Based Stereotypes in Educational Technology Advertisements

ERIC Educational Resources Information Center

Bolliger, Doris U.

2008-01-01

Researchers point out gender differences in the adoption and use of technology. Men tend to be the early adopters of computer technologies, whereas women are thought of as laggards. Several writings exist that identified ads in the media as gender biased. Thomas and Treiber, who examined race, gender, and status in popular magazines, indicate that…

Understanding the End User Perspective: A Multiple-Case Study of Successful Health Information Technology Implementation

ERIC Educational Resources Information Center

Behravesh, Bardia

2010-01-01

The United States continues to lag behind other countries in its adoption of health information technology. A failure to increase adoption will jeopardize the nation's ability to reduce medical errors, address the rapid growth of healthcare costs, and enact effective healthcare reform. Health information technology (HIT) implementation success…

Information Technology Adoption for Service Innovation Practices and Competitive Advantage: The Case of Financial Firms

ERIC Educational Resources Information Center

Chen, J. S.; Tsou, H. T.

2007-01-01

Background: The importance of information technology to current business practices has long drawn the attention of practitioners and academicians. Aim: This paper aims to broaden understanding about service innovation as a critical organizational capability through which information technology adoption influences the competitive advantage of a…

Technology Readiness of Early Career Nurse Trainees: Utilization of the Technology Readiness Index (TRI).

PubMed

Odlum, Michelle

2016-01-01

Health Information Technology (HIT) adoption by clinicians, including nurses, will lead to reduction in healthcare costs and clinical errors and improve health outcomes. Understanding the importance of technology adoption, the current study utilized the Technology Readiness Index to explore technology perceptions of nursing students. Our analysis identifies factors that may influence perceptions of technology, including decreased optimism for students with clinical experience and increased discomfort of US born students. Our study provides insight to inform training programs to further meet the increasing demands of skilled nursing staff.

Health care technology adoption and diffusion in a social context.

PubMed

Coyte, Peter C; Holmes, Dave

2007-02-01

This article highlights mechanisms that may further sustainable technological development for the 21st century. The distributional effects associated with the adoption and diffusion of health care technologies are addressed wherein the capacity to capitalize on the health gains from the adoption of technology varies in society. These effects are caused by the actions of individuals as they segment themselves into distinct social groups. The circumstances under which social institutions are further segmented are explored and may motivate public sector limits on the funding for and diffusion of health care technologies. Safety and efficacy benchmarks are necessary but insufficient conditions for sustainability as product advantage on grounds of cost-effectiveness must also be demonstrated. Furthermore, given the substantial role played by public sector decision makers in purchasing health care technologies, the distributional consequences associated with the uptake and diffusion of technology need to be gauged by product designers and those responsible for marketing.

Bringing Back the Social Affordances of the Paper Memo to Aerospace Systems Engineering Work

NASA Technical Reports Server (NTRS)

Davidoff, Scott; Holloway, Alexandra

2014-01-01

Model-based systems engineering (MBSE) is a relatively new field that brings together the interdisciplinary study of technological components of a project (systems engineering) with a model-based ontology to express the hierarchical and behavioral relationships between the components (computational modeling). Despite the compelling promises of the benefits of MBSE, such as improved communication and productivity due to an underlying language and data model, we observed hesitation to its adoption at the NASA Jet Propulsion Laboratory. To investigate, we conducted a six-month ethnographic field investigation and needs validation with 19 systems engineers. This paper contributes our observations of a generational shift in one of JPL's core technologies. We report on a cultural misunderstanding between communities of practice that bolsters the existing technology drag. Given the high cost of failure, we springboard our observations into a design hypothesis - an intervention that blends the social affordances of the narrative-based work flow with the rich technological advantages of explicit data references and relationships of the model-based approach. We provide a design rationale, and the results of our evaluation.

Business Cases for Microgrids: Modeling Interactions of Technology Choice, Reliability, Cost, and Benefit

NASA Astrophysics Data System (ADS)

Hanna, Ryan

Distributed energy resources (DERs), and increasingly microgrids, are becoming an integral part of modern distribution systems. Interest in microgrids--which are insular and autonomous power networks embedded within the bulk grid--stems largely from the vast array of flexibilities and benefits they can offer stakeholders. Managed well, they can improve grid reliability and resiliency, increase end-use energy efficiency by coupling electric and thermal loads, reduce transmission losses by generating power locally, and may reduce system-wide emissions, among many others. Whether these public benefits are realized, however, depends on whether private firms see a "business case", or private value, in investing. To this end, firms need models that evaluate costs, benefits, risks, and assumptions that underlie decisions to invest. The objectives of this dissertation are to assess the business case for microgrids that provide what industry analysts forecast as two primary drivers of market growth--that of providing energy services (similar to an electric utility) as well as reliability service to customers within. Prototypical first adopters are modeled--using an existing model to analyze energy services and a new model that couples that analysis with one of reliability--to explore interactions between technology choice, reliability, costs, and benefits. The new model has a bi-level hierarchy; it uses heuristic optimization to select and size DERs and analytical optimization to schedule them. It further embeds Monte Carlo simulation to evaluate reliability as well as regression models for customer damage functions to monetize reliability. It provides least-cost microgrid configurations for utility customers who seek to reduce interruption and operating costs. Lastly, the model is used to explore the impact of such adoption on system-wide greenhouse gas emissions in California. Results indicate that there are, at present, co-benefits for emissions reductions when customers adopt and operate microgrids for private benefit, though future analysis is needed as the bulk grid continues to transition toward a less carbon intensive system.

User acceptance of mobile health services from users' perspectives: The role of self-efficacy and response-efficacy in technology acceptance.

PubMed

Zhang, Xiaofei; Han, Xiaocui; Dang, Yuanyuan; Meng, Fanbo; Guo, Xitong; Lin, Jiayue

2017-03-01

With the swift emergence of electronic medical information, the global popularity of mobile health (mHealth) services continues to increase steadily. This study aims to investigate the efficacy factors that directly or indirectly influence individuals' acceptance of mHealth services. Based on the technology acceptance model, this research incorporates efficacy factors into the acceptance decision process. A research model was proposed involving the direct and indirect effects of self-efficacy and response-efficacy on acceptance intention, along with their moderating effects. The model and hypotheses were validated using data collected from a field survey of 650 potential service users. The results reveal that: (1) self-efficacy and response-efficacy are both positively associated with perceived ease of use; and (2) self-efficacy and response-efficacy moderate the impact of perceived usefulness toward adoption intention. Self-efficacy and response-efficacy both play an important role in individuals' acceptance of mHealth services, which not only affect their perceived ease of use of mHealth services, but also positively moderate the effects of perceived usefulness on adoption intention. Our findings serve to provide recommendations that are specifically customized for mHealth service providers and their marketers.

Hurdling barriers through market uncertainty: Case studies ininnovative technology adoption

DOE Office of Scientific and Technical Information (OSTI.GOV)

Payne, Christopher T.; Radspieler Jr., Anthony; Payne, Jack

The crisis atmosphere surrounding electricity availability in California during the summer of 2001 produced two distinct phenomena in commercial energy consumption decision-making: desires to guarantee energy availability while blackouts were still widely anticipated, and desires to avoid or mitigate significant price increases when higher commercial electricity tariffs took effect. The climate of increased consideration of these factors seems to have led, in some cases, to greater willingness on the part of business decision-makers to consider highly innovative technologies. This paper examines three case studies of innovative technology adoption: retrofit of time-and-temperature signs on an office building; installation of fuel cellsmore » to supply power, heating, and cooling to the same building; and installation of a gas-fired heat pump at a microbrewery. We examine the decision process that led to adoption of these technologies. In each case, specific constraints had made more conventional energy-efficient technologies inapplicable. We examine how these barriers to technology adoption developed over time, how the California energy decision-making climate combined with the characteristics of these innovative technologies to overcome the barriers, and what the implications of hurdling these barriers are for future energy decisions within the firms.« less

ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists.

PubMed

Schaper, Louise K; Pervan, Graham P

2007-06-01

There is evidence to suggest that health professionals are reluctant to accept and utilise information and communication technologies (ICT) and concern is growing within health informatics research that this is contributing to the lag in adoption and utilisation of ICT across the health sector. Technology acceptance research within the field of information systems has been limited in its application to health and there is a concurrent need to develop and gain empirical support for models of technology acceptance within health and to examine acceptance and utilisation issues amongst health professionals to improve the success of information system implementation in this arena. This paper outlines a project that examines ICT acceptance and utilisation by Australian occupational therapists. It describes the theoretical basis behind the development of a research model and the methodology being employed to empirically validate the model using substantial quantitative, qualitative and longitudinal data. Preliminary results from Phase II of the study are presented. The theoretical significance of this work is that it uses a thoroughly constructed research model, with potentially the largest sample size ever tested, to extend technology acceptance research into the health sector.

Dynamics of sustained use and abandonment of clean cooking systems: study protocol for community-based system dynamics modeling.

PubMed

Kumar, Praveen; Chalise, Nishesh; Yadama, Gautam N

2016-04-26

More than 3 billion of the world's population are affected by household air pollution from relying on unprocessed solid fuels for heating and cooking. Household air pollution is harmful to human health, climate, and environment. Sustained uptake and use of cleaner cooking technologies and fuels are proposed as solutions to this problem. In this paper, we present our study protocol aimed at understanding multiple interacting feedback mechanisms involved in the dynamic behavior between social, ecological, and technological systems driving sustained use or abandonment of cleaner cooking technologies among the rural poor in India. This study uses a comparative case study design to understand the dynamics of sustained use or abandonment of cleaner cooking technologies and fuels in four rural communities of Rajasthan, India. The study adopts a community based system dynamics modeling approach. We describe our approach of using community based system dynamics with rural communities to delineate the feedback mechanisms involved in the uptake and sustainment of clean cooking technologies. We develop a reference mode with communities showing the trend over time of use or abandonment of cleaner cooking technologies and fuels in these communities. Subsequently, the study develops a system dynamics model with communities to understand the complex sub-systems driving the behavior in these communities as reflected in the reference mode. We use group model building techniques to facilitate participation of relevant stakeholders in the four communities and elicit a narrative describing the feedback mechanisms underlying sustained adoption or abandonment of cleaner cooking technologies. In understanding the dynamics of feedback mechanisms in the uptake and exclusive use of cleaner cooking systems, we increase the likelihood of dissemination and implementation of efficacious interventions into everyday settings to improve the health and wellbeing of women and children most affected by household air pollution. The challenge is not confined to developing robust technical solutions to reduce household air pollution and exposure to improve respiratory health, and prevent associated diseases. The bigger challenge is to disseminate and implement cleaner cooking technologies and fuels in the context of various social, behavioral, and economic constraints faced by poor households and communities. The Institutional Review Board of Washington University in St. Louis has exempted community based system dynamics modeling from review.

Mobile-media pragmatism: innovation excellences and encumbrances

NASA Astrophysics Data System (ADS)

Lin, Chen-Ju

2017-10-01

Establishing two pragmatic models of enhancing entertainment and job-performance, this study aims to elaborate on how people adopt and perceive innovation excellences and encumbrances of modern mobile-media services through reflecting on their intrinsic expectancy. A survey methodology was executed to examine the hypothesised variable relationships using the purposive sampling method. CHT's Taipei think-tank head-office provided this study with a representative sampling frame and assisted to collect data from 725 focused subjects (with normative characteristics) who subscribed to HiNet or MOD, or predominantly used 4G telecommunication services. As a result of adopting the structural equation modelling test, the models of perceived innovation excellences and innovation encumbrances were affirmatively established to interpret the two applicative scenarios: entertainment and job-performance enhancement. Several valuable findings were generated. When a consumer targets entertainment technology pragmatism, he or she may stress the importance of innovative excellences, especially on product novelty. For the sake of pursuing job-performance enhancement, a customer was actively willing to invest his or her energy to meet and deal with the learning cost, customer unfamiliarity and complexity of telecom products and services. Importantly, the adopter's previous experiences with telecom products in the IT domain could effectively moderate the effect of pursuing new telecom innovation, adopting the product, and then strengthening self-evaluation.

Introducing the CERT (Trademark) Resiliency Engineering Framework: Improving the Security and Sustainability Processes

DTIC Science & Technology

2007-05-01

Organizational Structure 40 6.1.3 Funding Model 40 6.1.4 Role of Information Technology 40 6.2 Considering Process Improvement 41 6.2.1 Dimensions of...to the process definition for resiliency engineering. 6.1.3 Funding Model Just as organizational structures tend to align across security and...responsibility. Adopting an enter- prise view of operational resiliency and a process improvement approach requires that the funding model evolve to one

IMPROVING THE EFFECTIVENESS AND EFFICIENCY OF EVIDENCE PRODUCTION FOR HEALTH TECHNOLOGY ASSESSMENT.

PubMed

Facey, Karen; Henshall, Chris; Sampietro-Colom, Laura; Thomas, Sarah

2015-01-01

Health Technology Assessment (HTA) needs to address the challenges posed by high cost, effective technologies, expedited regulatory approaches, and the opportunities provided by collaborative real-world evaluation of technologies. The Health Technology Assessment International (HTAi) Policy Forum met to consider these issues and the implications for evidence production to inform HTA. This paper shares their discussion to stimulate further debate. A background paper, presentations, group discussions, and stakeholder role play at the 2015 HTAi Policy Forum meeting informed this paper. HTA has an important role to play in helping improve evidence production and ensuring that the health service is ready to adopt effective technologies. It needs to move from simply informing health system decisions to also working actively to align stakeholder expectations about realistic evidence requirements. Processes to support dialogue over the health technology life cycle need to be developed that are mindful of limited resources, operate across jurisdictions and learn from past processes. Collaborations between health technology developers and health systems in different countries should be encouraged to develop evidence that will inform decision making. New analytical techniques emerging for real-world data should be harnessed to support modeling for HTA. A paradigm shift (to "Health Innovation System 2.0") is suggested where HTA adopts a more central, proactive role to support alignment within and amongst stakeholders over the whole life cycle of the technology. This could help ensure that evidence production is better aligned with patient and health system needs and so is more effective and efficient.

A Novel Survey to Examine the Relationship between Health IT Adoption and Nurse-Physician Communication.

PubMed

Holmgren, A Jay; Pfeifer, Eric; Manojlovich, Milisa; Adler-Milstein, Julia

2016-12-21

As EHR adoption in US hospitals becomes ubiquitous, a wide range of IT options are theoretically available to facilitate physician-nurse communication, but we know little about the adoption rate of specific technologies or the impact of their use. To measure adoption of hardware, software, and telephony relevant to nurse-physician communication in US hospitals. To assess the relationship between non-IT communication practices and hardware, software, and telephony adoption. To identify hospital characteristics associated with greater adoption of hardware, software, telephony, and non-IT communication practices. We conducted a survey of 105 hospitals in the National Nursing Practice Network. The survey captured adoption of hardware, software, and telephony to support nurse-physician communication, along with non-IT communication practices. We calculated descriptive statistics and then created four indices, one for each category, by scoring degree of adoption of technologies or practices within each category. Next, we examined correlations between the three technology indices and the non-IT communication practices index. We used multivariate OLS regression to assess whether certain types of hospitals had higher index scores. The majority of hospitals surveyed have a range of hardware, software, and telephony tools available to support nurse-physician communication; we found substantial heterogeneity across hospitals in non-IT communication practices. More intensive non-IT communication was associated with greater adoption of software (r=0.31, p=0.01), but was not correlated with hardware or telephony. Medium-sized hospitals had lower adoption of software (r =-1.14,p=0.04) in comparison to small hospitals, while federally-owned hospitals had lower software (r=-2.57, p=0.02) and hardware adoption (r=-1.63, p=0.01). The positive relationship between non-IT communication and level of software adoption suggests that there is a complementary, rather than substitutive, relationship. Our results suggest that some technologies with the potential to further enhance communication, such as CPOE and secure messaging, are not being utilized to their full potential in many hospitals.

Technological response to economic disruption: The role of new technologies in mitigating exogenous economic shocks

NASA Astrophysics Data System (ADS)

Spencer, Aron Scott

2003-07-01

The three essays in this dissertation deal with the role of technology in mitigating economic disruption. Much research has been done on the disruptive effects of technology; in contrast, these essays look at how technology can be used to reduce the effects of exogenous disruptions. Each essay looks at the issue at a different level; the first at the firm level, the second at the industry level and the final essay at the level of the national economy. The first essay examines the options and possible strategies for firms faced with increased instability in their electricity supply, as recently occurred in California. This paper develops response strategies for companies affected by an electrical crisis. These responses fall into three categories: Lead, Follow, or Get Out of the State. The technologies available to companies choosing to lead are reviewed, along with constraints to their adoption. From these strategies, it can be shown that areas with unstable electrical markets can expect a loss of firms to locales with less risk and uncertainty, unless governments adopt policies promoting distributed generation. The second essay projects the economic impacts of the adoption of high-temperature superconductor (FITS) technologies in electric generation, transmission, and distribution systems. Three technologies utilizing high-temperature superconductors are analyzed for their potential impact on the electrical utility industry. Distributed superconducting magnetic energy storage systems (D-SMES), superconducting cable, and HTS generators are each described along with their possible uses in the electrical utility industry. The economic impact of these technologies is then projected, along with a comparison between them and conventional technologies. The third essay deals with the role of technology in mitigating the economic effects of the reaction to terrorist attacks. In the wake of the terrorist attacks of September 11, 2001, public and private investments are being diverted from productive to protective uses. This essay examines the possible economic effects of such a reallocation of resources, and shows how this shift in investment is likely to dampen long-term economic growth. Whether one uses Solow growth model derivatives or Austrian school methods, the diversion of resources has negative implications for economic growth.

Environmental policies to enhance technological change in the electricity sector

NASA Astrophysics Data System (ADS)

Sunol Del Rio, Eric

International agreements on climate change mitigation set quantitative carbon emission reduction targets in a country for a given year with respect to a given base year. A central question is then on what time do the new clean and costly technologies need to start functioning to comply with the agreed targets, and under what incentive does the market implement them. The planner's economic problem is to design an incentive that makes the new clean technology less costly than the vintage polluting facility, at the precise time in order to comply with the agreements at minimum cost. Chapter 1 reviews the literature on efficient allocation of pollution, discussing its validity to explain induced technological change. It then presents a simple model of technological change showing that market power determes the optimal adoption time of a new technology. Chapter 2 analyzes the effectiveness of carbon costs in accelerating technological change under different paths of technological progress. Furthermore, the paper examines the influence of market conditions. It shows that emission charges do reduce the firm's optimal adoption time when investment cost paths for the new technology are convex. On the contrary, emission charges may delay the optimal the switching time of a technology when the investment cost path is concave. Chapter 3 explores the results of Chapter 2 in an agent-based model. Simulations of firms adjusting their output a la Cournot show that the effectiveness of carbon costs in accelerating technological change is highly dependant on the number of firms in the market. Moreover, the shape of the technological progress curve is determinant: the effects of carbon charges are not linear on carbon price, and become more uncertain the more concave the investment cost path is. These results show that policies aiming at internalizing pollution costs enhance technological change at very different rates, depending on the actual market conditions in the industry and the dynamics of technological progress. This has profound implications in policy design: not only do carbon charges need to be used with precaution in oligopolistic industries, but also its effectiveness depends on the inner dynamics of cleaner technological alternatives.

An Empirical Agent-Based Model to Simulate the Adoption of Water Reuse Using the Social Amplification of Risk Framework.

PubMed

Kandiah, Venu; Binder, Andrew R; Berglund, Emily Z

2017-10-01

Water reuse can serve as a sustainable alternative water source for urban areas. However, the successful implementation of large-scale water reuse projects depends on community acceptance. Because of the negative perceptions that are traditionally associated with reclaimed water, water reuse is often not considered in the development of urban water management plans. This study develops a simulation model for understanding community opinion dynamics surrounding the issue of water reuse, and how individual perceptions evolve within that context, which can help in the planning and decision-making process. Based on the social amplification of risk framework, our agent-based model simulates consumer perceptions, discussion patterns, and their adoption or rejection of water reuse. The model is based on the "risk publics" model, an empirical approach that uses the concept of belief clusters to explain the adoption of new technology. Each household is represented as an agent, and parameters that define their behavior and attributes are defined from survey data. Community-level parameters-including social groups, relationships, and communication variables, also from survey data-are encoded to simulate the social processes that influence community opinion. The model demonstrates its capabilities to simulate opinion dynamics and consumer adoption of water reuse. In addition, based on empirical data, the model is applied to investigate water reuse behavior in different regions of the United States. Importantly, our results reveal that public opinion dynamics emerge differently based on membership in opinion clusters, frequency of discussion, and the structure of social networks. © 2017 Society for Risk Analysis.

Conceptual and Adoption of Technology Acceptance Model in Digital Information Resources Usage by Undergraduates: Implication to Higher Institutions Education in Delta and Edo of Nigeria

ERIC Educational Resources Information Center

Urhiewhu, Lucky Oghenetega; Emojorho, Daniel

2015-01-01

The article paper was on conceptual and theoretical framework of digital information resources usage by undergraduates: Implication to higher institutions education in Delta and Edo of Nigeria. It revealed the concept of digital information resources [DIRs] and model theory that related to the study. Finding shows that DIRs are use to low extent…

The adoption and implementation of RFID technologies in healthcare: a literature review.

PubMed

Yao, Wen; Chu, Chao-Hsien; Li, Zang

2012-12-01

Radio Frequency Identification (RFID) technology not only offers tracking capability to locate equipment, supplies and people in real time, but also provides efficient and accurate access to medical data for health professionals. However, the reality of RFID adoption in healthcare is far behind earlier expectation. This study reviews literature on the use of RFID in healthcare/hospitals following a formal innovation-decision framework. We aim to identify the common applications, potential benefits, barriers, and critical success factors. Our study facilitates quick assessment and provides guidance for researchers and practitioners in adopting RFID in medical arenas. Many earlier adopters in healthcare found RFID to be functional and useful in such areas as asset tracking and patient identification. Major barriers to adoption include technological limitations, interference concerns, prohibitive costs, lack of global standards and privacy concerns. Better designed RFID systems with low cost and privacy issues addressed are needed to increase acceptance of RFID in healthcare.

Optimizing technology development and adoption in medical imaging using the principles of innovation diffusion, part II: practical applications.

PubMed

Reiner, Bruce I

2012-02-01

Successful adoption of new technology development can be accentuated by learning and applying the scientific principles of innovation diffusion. This is of particular importance to areas within the medical imaging practice which have lagged in innovation; perhaps, the most notable of which is reporting which has remained relatively stagnant for over a century. While the theoretical advantages of structured reporting have been well documented throughout the medical imaging community, adoption to date has been tepid and largely relegated to the academic and breast imaging communities. Widespread adoption will likely require an alternative approach to innovation, which addresses the heterogeneity and diversity of the practicing radiologist community along with the ever-changing expectations in service delivery. The challenges and strategies for reporting innovation and adoption are discussed, with the goal of adapting and customizing new technology to the preferences and needs of individual end-users.

Interorganizational transfer of technology - A study of adoption of NASA innovations

NASA Technical Reports Server (NTRS)

Chakrabarti, A. K.; Rubenstein, A. H.

1976-01-01

The paper describes a study on the effects of top management support, various techno-economic factors, organizational climate, and decision-making modes on the adoption of NASA innovations. Field research consisted of interviews and questionnaires directed to sixty-five organizations. Forty-five test cases where different decisions for adoption of ideas for new products or processes were made on NASA Tech Briefs were studied in relation to the effects of various factors on the degree of success of adoption, including: (1) the degree of general connection of the technology to the firm's existing operation, (2) the specificity of the relationship between the technology and some existing and recognized problem, (3) the degree of urgency of the problem to which the technology was related, (4) maturity of technology available to implement the technology, (5) availability of personnel and financial resources to implement the technology, (6) degree of top management interest, (7) the use of confrontation in joint-decision, (8) the use of smoothing in decision-making, and (9) the use of forcing in decision-making. It was found that top managements interest was important in the product cases only, and that the success of process innovations was dependent on the quality of information and the specificity of the relationship between the technology and some recognized existing problem.

Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, Runze; Riddle, Matthew; Graziano, Diane

Additive manufacturing (AM) holds great potential for improving materials efficiency, reducing life-cycle impacts, and enabling greater engineering functionality compared to conventional manufacturing (CM), and AM has been increasingly adopted by aircraft component manufacturers for lightweight, cost-effective designs. This study estimates the net changes in life-cycle primary energy and greenhouse gas emissions associated with AM technologies for lightweight metallic aircraft components through the year 2050, to shed light on the environmental benefits of a shift from CM to AM processes in the U.S. aircraft industry. A systems modeling framework is presented, with integrates engineering criteria, life-cycle environmental data, aircraft fleet stockmore » and fuel use models under different AM adoption scenarios. Estimated fleet-wide life-cycle primary energy savings at most reach 70-173 million GJ/year in 2050, with cumulative savings of 1.2–2.8 billion GJ. Associated cumulative GHG emission reductions were estimated at 92.1–215.0 million metric tons. In addition, thousands of tons of aluminum, titanium and nickel alloys could be potentially saved per year in 2050. The results indicate a significant role of AM technologies in helping society meet its long-term energy use and GHG emissions reduction goals, and highlight barriers and opportunities for AM adoption for the aircraft industry.« less

Exploring Factors Affecting Voluntary Adoption of Electronic Medical Records Among Physicians and Clinical Assistants of Small or Solo Private General Practice Clinics.

PubMed

Or, Calvin; Tong, Ellen; Tan, Joseph; Chan, Summer

2018-05-29

The health care reform initiative led by the Hong Kong government's Food and Health Bureau has started the implementation of an electronic sharing platform to provide an information infrastructure that enables public hospitals and private clinics to share their electronic medical records (EMRs) for improved access to patients' health care information. However, previous attempts to convince the private clinics to adopt EMRs to document health information have faced challenges, as the EMR adoption has been voluntary. The lack of electronic data shared by private clinics carries direct impacts to the efficacy of electronic record sharing between public and private healthcare providers. To increase the likelihood of buy-in, it is essential to proactively identify the users' and organizations' needs and capabilities before large-scale implementation. As part of the reform initiative, this study examined factors affecting the adoption of EMRs in small or solo private general practice clinics, by analyzing the experiences and opinions of the physicians and clinical assistants during the pilot implementation of the technology, with the purpose to learn from it before full-scale rollout. In-depth, semistructured interviews were conducted with 23 physicians and clinical assistants from seven small or solo private general practice clinics to evaluate their experiences, expectations, and opinions regarding the deployment of EMRs. Interview transcripts were content analyzed to identify key factors. Factors affecting the adoption of EMRs to record and manage health care information were identified as follows: system interface design; system functions; stability and reliability of hardware, software, and computing networks; financial and time costs; task and outcome performance, work practice, and clinical workflow; physical space in clinics; trust in technology; users' information technology literacy; training and technical support; and social and organizational influences. The factors are interrelated with the others. The adoption factors identified are multifaceted, ranging from technological characteristics, clinician-technology interactions, skills and knowledge, and the user-workflow-technology fit. Other findings, which have been relatively underrepresented in previous studies, contribute unique insights about the influence of work and social environment on the adoption of EMRs, including limited clinic space and the effects of physicians' decision to use the technology on clinical staffs' adoption decisions. Potential strategies to address the concerns, overcome adoption barriers, and define relevant policies are discussed.

Assisted-living spaces for end-users with complex needs: a proposed implementation and delivery model.

PubMed

Linskell, Jeremy; Bouamrane, Matt-Mouley

2012-09-01

An assisted living space (ALS) is a technology-enabled environment designed to allow people with complex health or social care needs to remain, and live independently, in their own home for longer. However, many challenges remain in order to deliver usable systems acceptable to a diverse range of stakeholders, including end-users, and their families and carers, as well as health and social care services. ALSs need to support activities of daily-living while allowing end-users to maintain important social connections. They must be dynamic, flexible and adaptable living environments. In this article, we provide an overview of the technological landscape of assisted-living technology (ALT) and recent policies to promote an increased adoption of ALT in Scotland. We discuss our experiences in implementing technology-supported ALSs and emphasise key lessons. Finally, we propose an iterative and pragmatic user-centred implementation model for delivering ALSs in complex-needs scenarios. This empirical model is derived from our past ALS implementations. The proposed model allows project stakeholders to identify requirements, allocate tasks and responsibilities, and identify appropriate technological solutions for the delivery of functional ALS systems. The model is generic and makes no assumptions on needs or technology solutions, nor on the technical knowledge, skills and experience of the stakeholders involved in the ALS design process.

Factors affecting smartphone adoption for accessing information in medical settings.

PubMed

Tahamtan, Iman; Pajouhanfar, Sara; Sedghi, Shahram; Azad, Mohsen; Roudbari, Masoud

2017-06-01

This study aimed to acquire knowledge about the factors affecting smartphone adoption for accessing information in medical settings in Iranian Hospitals. A qualitative and quantitative approach was used to conduct this study. Semi-structured interviews were conducted with 21 medical residents and interns in 2013 to identify determinant factors for smartphone adoption. Afterwards, nine relationships were hypothesised. We developed a questionnaire to test these hypotheses and to evaluate the importance of each factor. Structural equation modelling was used to analyse the causal relations between model parameters and to accurately identify determinant factors. Eight factors were identified in the qualitative phase of the study, including perceived usefulness, perceived ease of use, training, internal environment, personal experience, social impacts, observability and job related characteristics. Among the studied factors, perceived usefulness, personal experience and job related characteristics were significantly associated with attitude to use a smartphone which accounted for 64% of the variance in attitude. Perceived usefulness had the strongest impact on attitude to use a smartphone. The factors that emerged from interviews were consistent with the Technology Acceptance Model (TAM) and some previous studies. TAM is a reliable model for understanding the factors of smartphone acceptance in medical settings. © 2017 Health Libraries Group.

Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial

PubMed Central

Ell, Kathleen; Jin, Haomiao; Vidyanti, Irene; Chou, Chih-Ping; Lee, Pey-Jiuan; Gross-Schulman, Sandra; Sklaroff, Laura Myerchin; Belson, David; Nezu, Arthur M; Hay, Joel; Wang, Chien-Ju; Scheib, Geoffrey; Di Capua, Paul; Hawkins, Caitlin; Liu, Pai; Ramirez, Magaly; Wu, Brian W; Richman, Mark; Myers, Caitlin; Agustines, Davin; Dasher, Robert; Kopelowicz, Alex; Allevato, Joseph; Roybal, Mike; Ipp, Eli; Haider, Uzma; Graham, Sharon; Mahabadi, Vahid; Guterman, Jeffrey

2018-01-01

Background Comorbid depression is a significant challenge for safety-net primary care systems. Team-based collaborative depression care is effective, but complex system factors in safety-net organizations impede adoption and result in persistent disparities in outcomes. Diabetes-Depression Care-management Adoption Trial (DCAT) evaluated whether depression care could be significantly improved by harnessing information and communication technologies to automate routine screening and monitoring of patient symptoms and treatment adherence and allow timely communication with providers. Objective The aim of this study was to compare 6-month outcomes of a technology-facilitated care model with a usual care model and a supported care model that involved team-based collaborative depression care for safety-net primary care adult patients with type 2 diabetes. Methods DCAT is a translational study in collaboration with Los Angeles County Department of Health Services, the second largest safety-net care system in the United States. A comparative effectiveness study with quasi-experimental design was conducted in three groups of adult patients with type 2 diabetes to compare three delivery models: usual care, supported care, and technology-facilitated care. Six-month outcomes included depression and diabetes care measures and patient-reported outcomes. Comparative treatment effects were estimated by linear or logistic regression models that used generalized propensity scores to adjust for sampling bias inherent in the nonrandomized design. Results DCAT enrolled 1406 patients (484 in usual care, 480 in supported care, and 442 in technology-facilitated care), most of whom were Hispanic or Latino and female. Compared with usual care, both the supported care and technology-facilitated care groups were associated with significant reduction in depressive symptoms measured by scores on the 9-item Patient Health Questionnaire (least squares estimate, LSE: usual care=6.35, supported care=5.05, technology-facilitated care=5.16; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.02); decreased prevalence of major depression (odds ratio, OR: supported care vs usual care=0.45, technology-facilitated care vs usual care=0.33; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.007); and reduced functional disability as measured by Sheehan Disability Scale scores (LSE: usual care=3.21, supported care=2.61, technology-facilitated care=2.59; P value: supported care vs usual care=.04, technology-facilitated care vs usual care=.03). Technology-facilitated care was significantly associated with depression remission (technology-facilitated care vs usual care: OR=2.98, P=.04); increased satisfaction with care for emotional problems among depressed patients (LSE: usual care=3.20, technology-facilitated care=3.70; P=.05); reduced total cholesterol level (LSE: usual care=176.40, technology-facilitated care=160.46; P=.01); improved satisfaction with diabetes care (LSE: usual care=4.01, technology-facilitated care=4.20; P=.05); and increased odds of taking an glycated hemoglobin test (technology-facilitated care vs usual care: OR=3.40, P<.001). Conclusions Both the technology-facilitated care and supported care delivery models showed potential to improve 6-month depression and functional disability outcomes. The technology-facilitated care model has a greater likelihood to improve depression remission, patient satisfaction, and diabetes care quality. PMID:29685872

New Aspect of Technology Adoption: A Case Study of Students' Self-Made English-Learning Video

ERIC Educational Resources Information Center

Tai, Yaming; Ting, Yu-Liang

2016-01-01

Understanding how students perceive and adopt technology in their daily life is particularly relevant to today's Information and Communication Technology (ICT) environment, in which versatile ICT tools are becoming more and more pervasive, almost ubiquitous in our day-to-day activities. In the context of English as a foreign language, this study…

Teachers' Perceptions of Factors Affecting Their Adoption and Acceptance of Mobile Technology in K-12 Settings

ERIC Educational Resources Information Center

Khlaif, Zuheir

2018-01-01

Factors influencing the adoption and acceptance of tablets as a mobile technology were explored one year after their integration in middle schools in Palestine. Semi-structured interviews were conducted with 15 teachers. The participants held a variety of attitudes toward accepting mobile technologies in their instruction. The findings revealed…

Factors Affecting the Adoption of Information and Communication Technologies in Teaching

ERIC Educational Resources Information Center

Salinas, Álvaro; Nussbaum, Miguel; Herrera, Oriel; Solarte, Mario; Aldunate, Roberto

2017-01-01

This study describes the level of adoption of information and communication technologies in teaching in three Latin American countries. It also analyzes factors that affect the process by which teachers incorporate these technologies into their classrooms. In order to do so, an online survey was conducted with 89 teachers. The results show that…