The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A critical assessment of potential measurement biases in the technology acceptance model: three experiments
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Self-citationConvergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Cited by
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
Self-citationVenkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Self-citationA meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906
Venkatesh, V., & Morris, M. G. (2000) · MIS Quarterly · doi:10.2307/3250981 · Cited by 2,780
Self-citationThe Technology Acceptance Model: Past, Present, and Future
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003) · Communications of the Association for Information Systems · doi:10.17705/1cais.01250 · Cited by 2,572
Technology acceptance model: a literature review from 1986 to 2013
Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458
Consumer acceptance of online banking: an extension of the technology acceptance model
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) · Internet Research · doi:10.1108/10662240410542652 · Cited by 1,772
On-line trust: concepts, evolving themes, a model
Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00041-7 · Cited by 1,200
Effect of trust on customer acceptance of Internet banking
Suh, B., & Han, I. (2002) · Electronic Commerce Research and Applications · doi:10.1016/s1567-4223(02)00017-0 · Cited by 901
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
Ma, Q., & Liu, L. (2004) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2004010104 · Cited by 660
Technology acceptance: a meta‐analysis of the TAM: Part 1
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834453 · Cited by 624
Davis, F. D., & Venkatesh, V. (2004) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.822468 · Cited by 582
Self-citationBidmon, S., & Terlutter, R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4127 · Cited by 389
What catalyses mobile apps usage intention: An empirical analysis
Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Wei, J. (2015) · Industrial Management & Data Systems · doi:10.1108/imds-01-2015-0028 · Cited by 383
THONG, J. Y. L., HONG, W., & TAM, K.-Y. (2002) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(02)91024-4 · Cited by 347
Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors
Ortega Egea, J. M., & Román González, M. V. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.010 · Cited by 287
Nguyen, T. H., Le, X. C., & Vu, T. H. L. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8040200 · Cited by 261
Is it the end of the technology acceptance model in the era of generative artificial intelligence?
Mogaji, E., Viglia, G., Srivastava, P., & Dwivedi, Y. K. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2023-1271 · Cited by 187
Zhu, W., Huang, L., Zhou, X., Li, X., Shi, G., Ying, J., & Wang, C. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323277 · Cited by 143
Technology acceptance research: Meta-analysis
Marikyan, D., Papagiannidis, S., & Stewart, G. (2026) · Journal of Information Science · doi:10.1177/01655515231191177 · Cited by 140
Rosli, M. S., Saleh, N. S., Md. Ali, A., Abu Bakar, S., & Mohd Tahir, L. (2022) · Sustainability · doi:10.3390/su141811389 · Cited by 126
Jariyapan, P., Mattayaphutron, S., Gillani, S. N., & Shafique, O. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.814087 · Cited by 102
Clinical acceptance of a low-cost portable system for postural assessment
Van Schaik, P., Bettany-Saltikov, J. A., & Warren, J. G. (2002) · Behaviour & Information Technology · doi:10.1080/01449290110107236 · Cited by 93
Ng, S. I., Ho, J. A., Lim, X. J., Chong, K. L., & Latiff, K. (2021) · Young Consumers · doi:10.1108/yc-06-2019-1006 · Cited by 92
Interface Characteristics, Perceived Ease of Use and Intention to Use an Online Library in Malaysia
Ramayah, T. (2006) · Information Development · doi:10.1177/0266666906065575 · Cited by 85
Physical accessibility of touchscreen smartphones
Trewin, S., Swart, C., & Pettick, D. (2013) · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/2513383.2513446 · Cited by 77
Kim, E.-H., Coumar, A., Lober, W. B., & Kim, Y. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2107561 · Cited by 65
An Examination of Factors Associated with User Acceptance of Social Shopping Websites
Shen, J., & Eder, L. B. (2011) · International Journal of Technology and Human Interaction · doi:10.4018/jthi.2011010102 · Cited by 65
Yeow, P. H. P., & Loo, W. H. (2009) · International Journal of Electronic Government Research · doi:10.4018/jegr.2009040103 · Cited by 53
García-Alonso, E. M., León-Mejía, A. C., Sánchez-Cabrero, R., & Guzmán-Ordaz, R. (2024) · Behavioral Sciences · doi:10.3390/bs14070612 · Cited by 53
(2011) · Journal of health informatics in developing countries · Cited by 49
DJ, B., P, V. S., DS, S., & WA, C. (2003) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230310001600452 · Cited by 36
Van Schaik, P., Flynn, D., Van Wersch, A., Douglass, A., & Cann, P. (2004) · Behaviour & Information Technology · doi:10.1080/0144929041000669941 · Cited by 32
Sarosa, S. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.106 · Cited by 30
Lep, Ž., Trunk, A., & Babnik, K. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.887587 · Cited by 5
Metadata
- Authors
- Davis, F. D., & Venkatesh, V.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 1996-07
- Volume
- 45
- Issue
- 1
- Pages
- 19-45
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2092259073
- Cited by
- 1,419
- References
- 3
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.