Cited by 1,139Technology Adoption and User BehaviourInformation Systems Theories and ImplementationTechnology Use by Older Adults

The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.

Understanding information technology acceptance by individual professionals: Toward an integrative view

Yi, Mun Y., Jackson, Joyce D., Park, Jae S., Probst, Janice C.·2006·Information & Management

DOI 10.1016/j.im.2005.08.006

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.im.2005.08.006

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Untitled work
(1980) · Medical Entomology and Zoology · Cited by 25,810
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Social Learning Theory
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066

Flagged first, then by citations

Show all 61 references

1 of the 61 references couldn’t be matched to a known paper.

Sorted by citations

Items 501–600 of 1,000

The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals
Emaeilzadeh, P., Sambasivan, M., & Nezakati, H. (2014) · International Journal of Research in Business and Social Science (2147-4478) · doi:10.20525/ijrbs.v3i2.98 · Cited by 22
Towards an understanding of the behavioral intention to use mobile knowledge management
Tang, J.-T. E., & Chiang, C.-H. (2009) · WSEAS Transactions on Information Science and Applications archive · doi:10.5555/1718151.1718167 · Cited by 17
Application of Expanded Technology Acceptance Model for Enhancing the HRIS Usage in SMEs
Bayraktaroğlu, S., Kahya, V., Atay, E., & Ilhan, H. (2019) · International Journal of Applied Management and Technology · doi:10.5590/ijamt.2019.18.1.04 · Cited by 23
Analyse des facteurs influençant l’émergence des pratiques de télémédecine : le cas des Maisons de Santé en France
Habib, J., Yatim, F., & Sebai, J. (2019) · Systèmes d information & management · doi:10.3917/sim.191.0047 · Cited by 18
Teacher – Artificial Intelligence (AI) interaction: The role of trust, subjective norm and innovativeness in Teachers` acceptance of educational chatbots
Çelik, İ., Muukkonen, H., & Siklander, P. (2025) · Policy Futures in Education · doi:10.1177/14782103251348551 · Cited by 16
Analysis of trust factors for AI-assisted diagnosis in intelligent Healthcare: Personalized management strategies in chronic disease management
Wang, X., & Wang, Y. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124499 · Cited by 17
The Relationship between Technology Acceptance Model and Usability Test - Case of Performing E-learning Task with PDA
Chiou, W.-C., Perng, C., & Lin, C.-C. (2009) · WASE International Conference on Information Engineering · doi:10.1109/icie.2009.207 · Cited by 16
An empirical study on the integrative pre-implementation model of technology acceptance in a mandatory environment
Hwang, Y., Chung, J.-Y., Shin, D., & Lee, Y. (2017) · Behaviour and Information Technology · doi:10.1080/0144929x.2017.1306751 · Cited by 16
Convergence of Technology in the E-Commerce World and Venture Capital Landscape in South East Asia
Lai, P. C., & Scheela, W. J. (2017) · Advances in business strategy and competitive advantage book series · doi:10.4018/978-1-5225-2835-7.ch009 · Cited by 16
The Perceived Ease of Use and Usefulness of Loop: Evaluation and Content Analysis of a Web-Based Clinical Collaboration System
Kurahashi, A. M., Stinson, J., van Wyk, M., Luca, S., Jamieson, T., Weinstein, P., Cafazzo, J. A., Lokuge, B., Cohen, E., Rapoport, A., et al. (2018) · JMIR Human Factors · doi:10.2196/humanfactors.7882 · Cited by 16
A SEM-Neural Network Approach for Predicting Antecedents of Factors Influencing Consumers' Intent to Install Mobile Applications
Akgül, Y. (2018) · Advances in wireless technologies and telecommunication book series · doi:10.4018/978-1-5225-4029-8.ch012 · Cited by 16
The Differing Effect of Gender and Clinical Specialty on Physicians' Intention to Use Electronic Medical Record
Hwang, H., Dutta, B., & Chang, H.-C. (2019) · Methods of Information in Medicine · doi:10.1055/s-0039-1695718 · Cited by 16
The Role of Digital Maturity Assessment in Technology Interventions with Industrial Internet Playground
Aagaard, A., Presser, M., Collins, T., Beliatis, M., Skou, A. K., & Jakobsen, E. (2021) · Electronics · doi:10.3390/electronics10101134 · Cited by 14
E-learning acceptance in workplace training: The case of a Greek bank.
Borotis, S., & Poulymenakou, A. (2009) · Journal of the Association for Information Systems · Cited by 16
Effect of precipitating events on information system adoption and use behaviour
Moghavvemi, S., & Salleh, N. A. M. (2014) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2012-0079 · Cited by 27
Developing and evaluating scales to assess innovation networks
Rampersad, G., Quester, P. G., & Troshani, I. (2009) · International Journal of Technology Intelligence and Planning · doi:10.1504/ijtip.2009.029378 · Cited by 16
Perceived Innovativeness, Perceived Convenience and TAM: Effects on Mobile Knowledge Management
Jeung-tai, E. T., & Chihui, C. (2009) · International Conference on Multimedia and Ubiquitous Engineering (MUE) · doi:10.1109/mue.2009.75 · Cited by 16
The Challenges and Issues Regarding E-Health and Health Information Technology Trends in the Healthcare Sector
Esmaeilzadeh, P., Sambasivan, M., & Kumar, N. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-16397-5_2 · Cited by 15
Adoption of mobile-based agricultural extension services: evidence from South India
Cerjak, M., Medici, M., Faletar, I., Sundeep, J. V., & Canavari, M. (2025) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2025.103851 · Cited by 15
Perceptions of users and non-users of an early contact tracing mobile application to fight COVID-19 spread: a value-based empirical investigation
Cocosila, M., Farrelly, G., & Trabelsi, H. (2022) · Information Technology and People · doi:10.1108/itp-01-2021-0026 · Cited by 15
Investigating the Acceptance of an Electronic Incident Reporting System in the Construction Industry: An Application of the Technology Acceptance Model
Saqib, G., Hassan, M. U., Zubair, M. U., & Choudhry, R. M. (2023) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-12583 · Cited by 14
Investigating the factors affecting farmers’ intention to adopt contract farming
Khalili, F., Choobchian, S., & Abbasi, E. (2024) · Scientific Reports · doi:10.1038/s41598-024-60317-x · Cited by 15
Exploring Sustainable Learning Intentions of Employees Using Online Learning Modules of Office Apps Based on User Experience Factors: Using the Adapted UTAUT Model
Wang, S., & Nah, K. (2024) · Applied Sciences · doi:10.3390/app14114746 · Cited by 15
Modeling User Acceptance of Internet Banking in Malaysia
Rouibah, K., Ramayah, T., & May, O. S. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-597-1.ch001 · Cited by 15
Determinants of Intention to Use Mobile Phone Caller Tunes to Promote Voluntary Blood Donation: Cross-Sectional Study
Appiah, B., Burdine, J. N., Aftab, A., Asamoah‐Akuoko, L., Anum, D. A., Kretchy, I. A., Samman, E., Appiah, P. B., & Bates, I. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9752 · Cited by 15
Understanding consumer intention to pay by contactless credit cards in Taiwan
Wang, Y.-M., & Lin, W. C. (2018) · International Journal of Mobile Communications · doi:10.1504/ijmc.2019.096507 · Cited by 15
The Effects of Individual-Level Culture and Demographic Characteristics on e-Learning Acceptance in Lebanon and England: A Structural Equation Modelling ApproachPreprint
Tarhini, A. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2725438 · Cited by 15
UTAUT2 INFLUENCING THE BEHAVIOURAL INTENTION TO ADOPT MOBILE APPLICATIONS
Kuan, A. L. K., Ann, H. N., Badri, E. N. F. M., & Tang, K. Y. (2014) · Cited by 15
Exploring the Determinants of ERP Adoption Intention
Bhattacharya, M., Wamba, S. F., & Kamdjoug, J. R. K. (2019) · International Journal of Technology Diffusion · doi:10.4018/ijtd.2019100104 · Cited by 16
Development and assessment of an integrated anatomy mobile app
Harmon, D., Burgoon, J. M., & Kalmar, E. L. (2022) · Clinical Anatomy · doi:10.1002/ca.23895 · Cited by 14
Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach
Kelly, S., Kaye, S.-A., White, K. M., & Oviedo-Trespalacios, Ó. (2023) · Ergonomics · doi:10.1080/00140139.2023.2289864 · Cited by 19
Initial discussions of ChatGPT in education-related subreddits
Na, H., Willet, K. B. S., Shi, H., Hur, J., He, D., & Kim, C. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2024.2338091 · Cited by 18
An examination on RFID innovation diffusions in Chinese public intelligent transportation services
Liu, Y., Yang, N., Wei, J. C., & Wang, X. (2015) · International Journal of Mobile Communications · doi:10.1504/ijmc.2015.070971 · Cited by 14
Multimodal notification framework for elderly and professional in a smart nursing home
Ghorbel, M., Betge-Brezetz, S., Dupont, M.-P., Kamga, G.-B., Piekarec, S., Reerink-Boulanger, J., & Vergnol, A. (2012) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-012-0116-6 · Cited by 14
Accountability, information technology and village performance
Laka, M. D. L. M. W. (2020) · International Research Journal of Management IT and Social Sciences · doi:10.21744/irjmis.v7n2.874 · Cited by 14
Explaining health technology adoption: Past, present, future
Rahimi, N., & Jetter, A. J. (2015) · Portland International Conference on Management of Engineering and Technology · doi:10.1109/picmet.2015.7273030 · Cited by 14
Internet Voting Usefulness
Carter, L. D., & Campbell, R. (2012) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2012070101 · Cited by 17
Impact of Ergonomic and Social Psychological Perspective: A Case Study of Fashion Technology Adoption in Taiwan
Yang, C., & Hsu, Y.-C. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.555300 · Cited by 15
The Effects of Gender Differences in the Acceptance of Biometrics Authentication Systems within Online Transaction
Al-Harby, F., Qahwaji, R., & Kamala, M. (2009) · International Conference on Cyberworlds (CW) · doi:10.1109/cw.2009.40 · Cited by 14
Physician Acceptance Behavior of the Electronic Medical Records Exchange: An Extended Decomposed Theory of Planned Behavior
Hsieh, P.-J., Lai, H., & Kuo, P.-Y. (2013) · Pacific Asia Conference on Information Systems · Cited by 14
An Empirical Study on Geotagging Technology Adoption Among the Social Networking Sites (SNSs) Users: The Moderating Effect of Geotagg’s Use Frequency
Haque, M. Z., Qian, A., Amin, M., & Islam, T. (2020) · Journal of Information & Knowledge Management · doi:10.1142/s0219649220500185 · Cited by 14
The Mediating Role of Employee Innovativeness on the Nexus between Internet Banking and Employee Performance: Evidence from the Republic of Congo
Pea-Assounga, J. B. B., & Yao, H. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/6610237 · Cited by 17
The adoption of tele-presence systems
Park, E. (2013) · Kybernetes · doi:10.1108/k-01-2013-0013 · Cited by 14
Public Claims about Automatic External Defibrillators: An Online Consumer Opinions Study
Money, A., Barnett, J. C., & Kuljis, J. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-332 · Cited by 14
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer’s Disease
Bellio, M., Furniss, D. J., Oxtoby, N. P., Garbarino, S., Firth, N. C., Ribbens, A., Alexander, D. C., & BLANDFORD, A. E. (2021) · ACM Transactions on Computing for Healthcare · doi:10.1145/3462764 · Cited by 14
Mobile health apps to reduce sedentary behavior: a scoping review
Ueno, D. T., Guerra, P. H., Christofoletti, A. E. M., Bonolo, A., Nakamura, P. M., & Kokubun, E. (2021) · Health Promotion International · doi:10.1093/heapro/daab124 · Cited by 14
The Resistance to Adopting Online Marketplace: The Influence of Perceived Risk and Behavioral Control of Small and Medium Enterprises in Indonesia
Santoso, D. R., Handayani, P. W., & Azzahro, F. (2022) · CommIT (Communication and Information Technology) Journal · doi:10.21512/commit.v16i1.7858 · Cited by 13
Toward an information and communication technology development in developing countries
Khasawneh, M., & Ibrahim, H. (2008) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · Cited by 13
User experience evaluation criteria for mobile news making technology
Väätäjä, H. (2010) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/1952222.1952252 · Cited by 14
Perceived importance of ICT‐based feature and services on conference center selection and differences among meeting planners
Lee, S. “., Park, K., & Khan, M. H. (2012) · Journal of Hospitality and Tourism Technology · doi:10.1108/17579881211206525 · Cited by 13
Health consumers’ social media adoption behaviours in Australia
Khan, M. I., Saleh, A., Quazi, A. M., & Johns, R. (2021) · Health Informatics Journal · doi:10.1177/14604582211009917 · Cited by 13
Exploring the Differences in Information Technology Acceptance between Healthcare Professionals
Raitoharju, R., & Laine, M. (2006) · Journal of the Association for Information Systems · Cited by 13
Examining Behavioral Intention Toward Mobile Services
Ζάρμπου, Θ., Saprikis, V., & Vlachopoulou, M. (2011) · International Journal of E-Services and Mobile Applications · doi:10.4018/jesma.2011040101 · Cited by 13
Healthcare Professionals’ Adoption of Clinical IT in Hospital: A View of Relationship between Healthcare Professionals and Hospital
Esmaeilzadeh, P., & Sambasivan, M. (2012) · Management · doi:10.5923/j.mm.20120205.04 · Cited by 12
Adoption of E-Voting System in Nigeria: A Conceptual Framework
IshaqSalimonu, R., Osman, W. R. B. S., Shittu, A. J. K., JIMOH, J., & G, R. (2013) · International Journal of Applied Information Systems · doi:10.5120/ijais13-450912 · Cited by 13
The Modified Technology Acceptance Model for Private Clinical Physicians: A Case Study in Malaysia, Penang
San, A. N. C., & Yee, C. J. (2013) · International Journal of Academic Research in Business and Social Sciences · Cited by 13
Unraveling the Mystery of New Technology Use: An Investigation into the Interplay of Desire for Control, Computer Self-efficacy, and Personal Innovativeness
Bakke, S., & Henry, R. M. (2015) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00075 · Cited by 13
Mutual Relations in ERP Implementation: The Impacts of Work Alienation and Organizational Support in State-owned Enterprise
Hou, A. C. Y., Chen, Y., & Shang, R. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.244 · Cited by 13
Integrated model for understanding Indian physicians’ internet usage pattern: An empirical approach
Patwardhan, A. A., Pandey, N., & Dhume, S. M. (2016) · International Journal of Healthcare Management · doi:10.1080/20479700.2016.1270385 · Cited by 15
Perceptions and attitudes of clinical staff towards telemedicine acceptance in Saudi Arabia
Alaboudi, A. A., Atkins, A. S., Sharp, B., Alzahrani, M., Balkhair, A., & Sunbul, T. (2016) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2016.7945714 · Cited by 13
Investigating the diffusion of IT consumerization in the workplace: A case study using social network analysis
Dang-Pham, D., Pittayachawan, S., Bruno, V., & Kautz, K. (2017) · Information Systems Frontiers · doi:10.1007/s10796-017-9796-5 · Cited by 13
Adoption of Human Resource Information Systems in Developing Countries: An Empirical Study
Quaosar, G. M. A. A. (2018) · International Business Research · doi:10.5539/ibr.v11n4p133 · Cited by 13
A Unified Framework for Exploring the Determinants of Online Social Networks (Osns) on Institutional Investors’ Capital Market Investment Decision
Haque, M. Z., Qian, A., Hoque, M. R., & Lucky, S. A. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102061 · Cited by 19
Extending the technology acceptance model in remote pointing technology: identifying the role of perceived mobility and control
Park, E., & del Pobil, A. P. (2013) · Sensor Review · doi:10.1108/02602281311294333 · Cited by 13
The use of cartoons in elementary classrooms: An analysis of teachers behavioral intention in terms of gender
İbi̇li̇, E., & Sami, S. (2016) · Educational Research and Reviews · doi:10.5897/err2015.2119 · Cited by 17
Solving the Puzzle of Mobile Learning Adoption
Liu, Y. (2011) · Doria (University of Helsinki) · Cited by 13
Exploring factors influencing students’ willingness to use translation technology
Wang, Y.-X., Chen, L.-P., & Han, J.-Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12511-7 · Cited by 13
VR Devices in Ayurvedic Care: Understanding Influential Factors for User Behavior and Continuance Intention
Ismail, N., & Rasheed, A. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2399418 · Cited by 14
Why are people reluctant to use metaverse products? Investigating barriers based on innovation resistance theory
Nie, Q., Ma, L., & Li, Z. (2025) · Online Information Review · doi:10.1108/oir-10-2023-0557 · Cited by 14
A stage model of information technology in healthcare
Yang, Y., Kankanhalli, A., & Chandran, S. (2015) · Health and Technology · doi:10.1007/s12553-015-0097-z · Cited by 12
ACCEPTANCE AND USAGE OF EXTENSIBLE BUSINESS REPORTING LANGUAGE: AN EMPIRICAL REVIEW
Stergiaki, E. (2013) · Journal of Social Sciences · doi:10.3844/jssp.2013.14.21 · Cited by 12
ADOPTION OF ADMINISTRATIVE INNOVATION WITHIN ORGANIZATION — AN EMPIRICAL STUDY OF TQM METAMORPHOSIS
Tanninen, K., Jantunen, A., & Saksa, J. (2008) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877008001412 · Cited by 12
Acceptance of open source software amongst Thai users: an integrated model approach
Bhatiasevi, V., & Krairit, D. (2013) · Information Development · doi:10.1177/0266666912465880 · Cited by 12
Use of Mobile Apps for Teaching and Research – Implications for Digital Literacy
Hinze, A., Vanderschantz, N., Timpany, C., Saravani, S.-J., Cunningham, S. J., & Wilkinson, C. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70232-2_15 · Cited by 12
Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study
Keikhosrokiani, P. (2021) · Int. J. E Adopt. · doi:10.4018/ijea.2021070104 · Cited by 4
An Investigation of the Effects of Organizational Readiness on Technology Acceptance in e-HRM Applications
Esen, M., & Özbağ, G. K. (2014) · International Journal of Human Resource Studies · doi:10.5296/ijhrs.v4i1.5643 · Cited by 12
Application of Technology Acceptance Model in Predicting Behavioral Intention to Use Safety Helmet Reminder System
Ambak, K., İsmail, R., Abdullah, R. A., Latiff, A. A., & Sanik, M. E. (2013) · Research Journal of Applied Sciences Engineering and Technology · doi:10.19026/rjaset.5.5035 · Cited by 12
Effective Intervention Strategy to Improve Worker Readiness to Adopt Ventilated Tools
Weidman, J. E., Dickerson, D. E., & Koebel, C. T. (2016) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001123 · Cited by 12
Innovation adoption of employees in the logistics sector in the Netherlands: The role of workplace innovation
Putnik, K., Oeij, P. R. A., Dhondt, S., van der Torre, W., de Vroome, E. M. M., & Preenen, P. (2019) · European Journal of Workplace Innovation · doi:10.46364/ejwi.v4i2.543 · Cited by 14
Factors influencing the adoption of computerized medical diagnosing system for tuberculosis
Panicker, R. O., & Sabu, M. K. (2019) · International Journal of Information Technology · doi:10.1007/s41870-019-00396-6 · Cited by 12
The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study
Alsisi, E. A., Al-Ashaab, A., & Ahmed, A. W. (2020) · Journal of Medical Internet Research · doi:10.2196/16212 · Cited by 13
Employees’ Behavioral Intention to Adopt E-HRM System- An Approach to Extend Technology Acceptance Model
Anjum, N., & Islam, M. A. (2020) · International Journal of Academic Research in Accounting Finance and Management Sciences · doi:10.6007/ijarafms/v10-i3/8140 · Cited by 12
The effect of knowledge sharing on technology acceptance among physicians
Esmaeilzadeh, P., Sambasivan, M., Kumar, N., & Nezakati, H. (2013) · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Cited by 12
What factors affect physicians’ decisions to use an e-health care system?
Yan, H.-Y., & Wang, M.-J. (2012) · Health · doi:10.4236/health.2012.411156 · Cited by 13
Estimating the Model of Investigating Attitude and Intention in the Usage of Variable Rate Irrigation Technology
Ajili, A. (2012) · Journal of Experimental Agriculture International · doi:10.9734/ajea/2012/1267 · Cited by 12
Proceeding of the International Conference on Advanced Science, Engineering and Information Technology 2011
Isc, I., Pratomo, A. H., Prabuwono, A. S., Zakaria, M. S., Huda, N., Abdullah, S., Omar, K., & Noordin, M. J. (2011) · Cited by 12
Exploring the factors driving M-learning adoption
Yong, L., Li, H., & Carlsson, C. P. O. (2009) · Cited by 12
Integrating Technology Acceptance Model With Maslow’s Hierarchy Needs Theory to Investigate Smart Homes Adoption
Yang, Y., Yu, X., Zhang, Z., & Gan, L. (2023) · IEEE Access · doi:10.1109/access.2023.3300724 · Cited by 11
Extension Experts‘ Intentions to use Precision Agricultural Technologies, a Test with the Technology Acceptance Model
Bagheri, A., Tarighi, J., Emami, N., & Szymanek, M. (2024) · Acta Technologica Agriculturae · doi:10.2478/ata-2024-0012 · Cited by 11
Factors That Facilitated the Development of Blockchain Technology in the AEC Industry: Study Based on System Dynamics
Wang, X., Weng, Z., Liu, L., & Liu, J. (2024) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-6137 · Cited by 12
The Use of Smart Lockers in China’s Smart Villages Construction: Expanding UTAUT With Price Value and Technical Anxiety
Zhang, M., & Zhang, H. (2024) · SAGE Open · doi:10.1177/21582440241287593 · Cited by 11
Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability
Westphal, M., Hemmer, P., Vössing, M., Schemmer, M., Vetter, S., & Satzger, G. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3696423 · Cited by 13
Behavioural Intentions to Adopt Artificial Intelligence in Healthcare: Exploring the Perception of Healthcare Professionals
Swathi, K. S., Aswathy, S., C, K. T., Chadaga, K., & Sampathila, N. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00483-5 · Cited by 13
The essential position of trust in the technology acceptance model: a comprehensive review and bibliometric analysis in management studies
Asif, M., & Sarwar, F. (2025) · Journal of Modelling in Management · doi:10.1108/jm2-12-2023-0282 · Cited by 16
Industry 4.0 an empirical analysis of users’ intention in the automotive sector
Toni, M., Renzi, M. F., Pasca, M. G., Mugion, R. G., Pietro, L. D., & Ungaro, V. (2021) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-04-2020-0062 · Cited by 12
An Empirical Research on the Determinants of User M-Commerce Acceptance
Liu, D., & Chen, W. (2009) · Studies in computational intelligence · doi:10.1007/978-3-642-01203-7_8 · Cited by 11
Using Structural Equation Modeling and the Behavioral Sciences Theories in Predicting Helmet Use
Ambak, K., İsmail, R., Abdullah, R. A., & Borhan, M. N. (2011) · International Journal on Advanced Science Engineering and Information Technology · doi:10.18517/ijaseit.1.6.128 · Cited by 11
Mobile Travel Services: The Effect of Moderating Context Factors
Bouwman, H., Carlsson, C. P. O., López‐Nicolás, C., McKenna, B., Molina‐Castillo, F., Tuunanen, T., & Walden, P. (2011) · Information Technology & Tourism · doi:10.3727/109830512x13258778487272 · Cited by 11
Citizens' E-Government Services Adoption
Nasri, W. (2014) · International Journal of Public Administration in the Digital Age · doi:10.4018/ijpada.2014040105 · Cited by 11
Innovation acceptance and customer satisfaction. A survey on tax information systems
Abadi, A. M., Abadi, A. M., & Jafari, A. (2017) · AD-minister · doi:10.17230/ad-minister.30.8 · Cited by 11

Authors: Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C.
Affiliations: University of South Carolina (US)
Kosin University (KR)
Corresponding author: Yi, Mun Y.
ORCID: Yi, Mun Y.
Probst, Janice C.
Venue: Information & Management
Publisher: Elsevier BV
Published: 2006-04
Volume: 43
Issue: 3
Pages: 350-363
ISSN: 0378-7206 (ISSN-L)
DOI: 10.1016/j.im.2005.08.006
OpenAlex: W2112149259
Cited by: 1,139
References: 61
Citations by year: 2026: 21 · 2025: 50 · 2024: 61 · 2023: 64 · 2022: 72 · 2021: 79 · 2020: 58 · 2019: 64 · 2018: 57 · 2017: 57 · 2016: 60 · 2015: 73 · 2014: 80 · 2013: 68 · 2012: 61
FWCI: 46.91
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Information & Management (publishedVersion)
Scholar Commons (University of South Carolina) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
Keywords: information technology acceptance, technology acceptance model, theory of planned behavior, diffusion of innovation theory, healthcare workers, physicians, personal digital assistants, technology acceptance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Understanding information technology acceptance by individual professionals: Toward an integrative view

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks