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.
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Barter, S. L., Williams, A. J., Rencken, G., Ndaba, N., & Govender, P. (2023) · South African Journal of Occupational Therapy · doi:10.17159/2310-3833/2023/vol53n2a2 · Cited by 8 · see citing works
SMUPI-BIS: a synthesis model for users’ perceived impact of business intelligence systems
Nasir, I. S., Mousa, A., & Alsammak, I. L. H. (2021) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v21.i3.pp1856-1867 · Cited by 12 · see citing works
Thành, N. V., Yoon, H., & Hwang, J. (2018) · The International Technology Management Review · doi:10.2991/itmr.2018.7.2.2 · Cited by 8 · see citing works
Coleman, A., & Iyawa, G. E. (2015) · International Science and Technology Journal of Namibia · Cited by 7 · see citing works
Gui, A., Ryan, Lay, W. B., Chia, J. J., & Chanda, R. C. (2024) · International Conference on Data Science and Its Applications (ICoDSA) · doi:10.1109/icodsa62899.2024.10651702 · Cited by 7 · see citing works
- 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 › Organizational Behavior and Human Resource Management › 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 ›
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