The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
RECENT RELATED RESEARCH IN TECHNOLOGY ACCEPTANCE MODEL: A LITERATURE REVIEW
Open accessAbstract
Technology Acceptance Model is widely applied to access users’ usage in various information system/information technology areas. Learning the critical role of Technology Acceptance Model can guide researchers to design different users’ interface for different online customers, and consequently achieve high user usage in different application areas. This study reviewed 24 studies to understand the past, now and future of Technology Acceptance Model. We discussed the related studies to clarify the extension of Technology Acceptance Model. Besides, the application areas are elaborated including electronic service, mobile data service, self-service technology, electronic learning and so on. Finally, the article concluded the conclusions and future research direction.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
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
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
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
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Extending the TAM for a World-Wide-Web context
Moon, J.-W., & Kim, Y.-G. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00061-6 · Cited by 3,802
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
Kaplan, B., DeGross, J. I., Wood-Harper, A. T., Wastell, D. G., & Truex, D. P., III (2004) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/b115738 · Cited by 3,139
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Lee, M.-C. (2009) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2008.11.006 · Cited by 2,037
Extending the technology acceptance model with task–technology fit constructs
Dishaw, M. T., & Strong, D. M. (1999) · Information & Management · doi:10.1016/s0378-7206(98)00101-3 · Cited by 1,772
Integrating technology readiness into technology acceptance: The TRAM model
Lin, C., Shih, H., & Sher, P. J.-H. (2007) · Psychology and Marketing · doi:10.1002/mar.20177 · Cited by 891
The effect of service employees’ technology readiness on technology acceptance
Walczuch, R. M., Lemmink, J. G. A. M., & Streukens, S. (2007) · Information & Management · doi:10.1016/j.im.2006.12.005 · Cited by 719
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707
The antecedents and consequents of user perceptions in information technology adoption
Agarwal, R., & Prasad, J. (1998) · Decision Support Systems · doi:10.1016/s0167-9236(97)00006-7 · Cited by 589
Gender differs: assessing a model of online purchase intentions in e‐tail service
Chiu, Y.-B., Lin, C., & Tang, L.-L. (2005) · International Journal of Service Industry Management · doi:10.1108/09564230510625741 · Cited by 380
Determinants of satisfaction and continuance intention towards self‐service technologies
Chen, S., Chen, H., & Chen, M. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570911002306 · Cited by 288
Self-citationCustomer acceptance of RFID technology: Evidence from the German electronic retail sector
Müller‐Seitz, G., Dautzenberg, K., Creusen, U., & Stromereder, C. (2008) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2008.08.002 · Cited by 151
Chang, H. H. (2008) · Technovation · doi:10.1016/j.technovation.2008.03.006 · Cited by 110
Consumer acceptance of online auctions: An extension and revision of the TAM
Stern, B. B., Stafford, M. R., Stafford, T. F., & Bienstock, C. C. (2008) · Psychology and Marketing · doi:10.1002/mar.20228 · Cited by 110
A model of user adoption of interface agents for email notification
Serenko, A. (2008) · Interacting with Computers · doi:10.1016/j.intcom.2008.04.004 · Cited by 92
Chen, H., & Chen, S. (2008) · International Journal of Mobile Communications · doi:10.1504/ijmc.2009.021672 · Cited by 68
Self-citationEnd-user adoption of animated interface agentsin everyday work applications
Serenko, A., Bontis, N., & Detlor, B. (2006) · Behaviour and Information Technology · doi:10.1080/01449290500260538 · Cited by 52
Cited by
Sorted by citations
Hansen, J. M., Saridakis, G., & Benson, V. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.010 · Cited by 629
Digital payment and banking adoption research in Gulf countries: A systematic literature review
Alkhowaiter, W. A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102102 · Cited by 449
Al-Adwan, A., Al‐Adwan, A. S., & Smedley, J. (2013) · The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · Cited by 269
Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea
Baber, H. (2021) · The International Journal of Management Education · doi:10.1016/j.ijme.2021.100503 · Cited by 292
Examining intention to adopt to internet of things in healthcare technology products
Adem Karahoca, A., Karahoca, D., & Aksöz, M. (2017) · Kybernetes · doi:10.1108/k-02-2017-0045 · Cited by 219
Metadata
- Authors
- Chen, S.-C., Li, S.-H., & Li, C.-Y.
- Affiliations
- Tatung University (TW)
- ORCID
- Chen, Shih-Chih
- Venue
- Australian Journal of Business and Management Research
- Published
- 2012-04-05
- Volume
- 01
- Issue
- 09
- Pages
- 124-127
- ISSN
- 1839-0846 (ISSN-L)
- OpenAlex
- W2292347450
- Cited by
- 226
- References
- 25
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 18 · 2023: 46 · 2022: 20 · 2021: 13 · 2020: 23 · 2019: 19 · 2018: 10 · 2017: 14 · 2016: 14 · 2015: 12 · 2014: 13 · 2013: 8
- FWCI
- 21.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Australian Journal of Business and Management Research (publishedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- technology acceptance model, user acceptance, information systems, user interface design, electronic services, mobile data services, self-service technology, online learning, technology adoption
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
