The DOI matches its Crossref record; 43 of the 45 references it cites were found in a registry or an index.
A review of technology acceptance and adoption models and theories
Open accessAbstract
Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. In this paper, an overview of theories and models regarding user acceptance of technology has been provided. The existing review will emphasize literature that tries to show how developers and researchers presage the level of admission any information technology will attain.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Ultimately, UGT can be applied to studying all kinds of media and across many different conditions, making it an ideal theory to ground the study of emerging technologies and unique situations (Taherdoost, 2018).”
From Virtual reality adoption during the COVID-19 pandemic: A uses and gratifications perspective (2021) · cites this paper as Taherdoost, 2018
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
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
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
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
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
(1985) · Cited by 6,185
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.2.267 · Cited by 5,955
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814
How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits
Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S. W., & Combs, B. (1978) · Policy Sciences · doi:10.1007/bf00143739 · Cited by 2,838
The utilization of e-government services: citizen trust, innovation and acceptance factors
Carter, L., & Bélanger, F. (2005) · Information Systems Journal · doi:10.1111/j.1365-2575.2005.00183.x · Cited by 2,207
Reconceptualizing Compatibility Beliefs in Technology Acceptance Research1
Karahanna, E., Agarwal, R., & Angst, C. M. (2006) · MIS Quarterly · doi:10.2307/25148754 · Cited by 727
Sjöberg, L. (1998) · Risk Analysis · doi:10.1111/j.1539-6924.1998.tb00918.x · Cited by 470
Lin, F., Fofanah, S. S., & Liang, D. (2011) · Government Information Quarterly · doi:10.1016/j.giq.2010.09.004 · Cited by 469
A conceptual model for the process of IT innovation adoption in organizations
Hameed, M. A., Counsell, S., & Swift, S. (2012) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2012.03.007 · Cited by 442
Determinants of the intention to use Internet/WWW at work: a confirmatory study
Chang, M. K., & Cheung, W. (2001) · Information & Management · doi:10.1016/s0378-7206(01)00075-1 · Cited by 400
Igbaria, M., Schiffman, S. J., & Wieckowski, T. J. (1994) · Behaviour and Information Technology · doi:10.1080/01449299408914616 · Cited by 373
Maillet, É., Mathieu, L., & Sicotte, C. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.09.004 · Cited by 367
Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT)
Rana, N. P., & Dwivedi, Y. K. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2015.02.002 · Cited by 321
Applying the technology acceptance model in a two-country study of SMS advertising
Muk, A., & Chung, C. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.06.001 · Cited by 249
Factors Motivating Software Piracy: A Longitudinal Study
Limayem, M., Khalifa, M., & Chin, W. W. (2004) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2004.835087 · Cited by 217
Reconceptualizing compatability beliefs in technology acceptance research
Karahanna, E., Agarwal, R., & Angst, C. M. (2006) · MIS Quarterly · doi:10.5555/2017317.2017319 · Cited by 202
Grellhesl, M., & Punyanunt-Carter, N. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.024 · Cited by 165
White, K. M., Jimmieson, N. L., Obst, P. L., Graves, N., Barnett, A. G., Cockshaw, W. D., Gee, P., Haneman, L., Page, K., Campbell, M., et al. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-0718-2 · Cited by 115
Misbah, Z., Gulikers, J. T. M., Maulana, R., & Mulder, M. (2015) · Teaching and Teacher Education · doi:10.1016/j.tate.2015.04.007 · Cited by 97
Worry Over Technological Activities and Life Concerns
MacGregor, D. G. (1991) · Risk Analysis · doi:10.1111/j.1539-6924.1991.tb00607.x · Cited by 81
Social Cognitive Theory in IS Research – Literature Review, Criticism, and Research Agenda
Carillo, K. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-12035-0_4 · Cited by 78
The state of empirical research on the adoption and diffusion of business-to-business e-commerce
Sila, I. (2015) · International Journal of Electronic Business · doi:10.1504/ijeb.2015.071386 · Cited by 63
Gagnon, M.-P., Sánchez, E., & Pons, J. M. (2006) · Implementation Science · doi:10.1186/1748-5908-1-8 · Cited by 57
Exploration of usage behavioral model construction for university library electronic resources
Chang, S., Lou, S., Cheng, S., & Lin, C.-L. (2015) · The Electronic Library · doi:10.1108/el-10-2013-0195 · Cited by 51
Kuo, B. C. H., Roldan-Bau, A., & Lowinger, R. J. (2015) · International Journal for the Advancement of Counselling · doi:10.1007/s10447-015-9236-5 · Cited by 49
Smart Card Security; Technology and Adoption
Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2011) · Cited by 42
Emotions and technology acceptance: development and validation of a technology affect scale
Perlusz, S. (2005) · IEEE International Engineering Management Conference (IEMC) · doi:10.1109/iemc.2004.1407500 · Cited by 35
An examination of smart card technology acceptance using adoption model
Taherdoost, H., & Masrom, M. B. (2009) · ITI ... · doi:10.1109/iti.2009.5196103 · Cited by 32
Taherdoost, H., Zamani, M., & Namayandeh, M. (2009) · IEEE International Conference on Computer Science and Information Technology · doi:10.1109/iccsit.2009.5234410 · Cited by 27
Haykin, M. E., & Warnar, R. B. J. (1988) · doi:10.6028/nist.sp.500-157 · Cited by 20
Chen, C.-D., Huang, T. C.-K., Chen, M., & Ku, E. C. S. (2015) · Journal of the Association for Information Systems · Cited by 15
Research works printed but not linked: 4
- Dillon, 1996, User Acceptance of Information Technology: Theories and Models. In: M. Williams (ed.) Annual Review of Information Science and Technology, Medford NJ: Information Today., 31, 3
- Taherdoost, 2011, Information Security and Ethics in Educational Context: Propose a Conceptual Framework to Examine Their Impact., International Journal of Computer Science and Information Security., 9, 134
- P.F. Wu, User Acceptance of Emergency Alert Technology: A Case Study, in Proceedings of the 6th International ISCRAM Conference 2009: Gothenburg, Sweden.
- I.M.Y. Woon, L.G. Pee, Behavioural factors affecting internet abuse in the workplace: An empirical investigation. in Proceedings of the Third Annual Workshop on HCI Research in MIS. 2004. Washington, D.C.
Cited by
Sorted by citations
Scherer, R., Siddiq, F., & Tondeur, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.009 · Cited by 1,923
Chan, K. S., & Zary, N. (2019) · JMIR Medical Education · doi:10.2196/13930 · Cited by 877
Industry 4.0: Adoption challenges and benefits for SMEs
Masood, T., & Sonntag, P. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103261 · Cited by 684
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11816-3 · Cited by 637
Impact of information technology innovation on firm performance in Kenya
Chege, S. M., Wang, D., & Suntu, S. L. (2019) · Information Technology for Development · doi:10.1080/02681102.2019.1573717 · Cited by 427
Metadata
- Authors
- Taherdoost, H.
- Corresponding author
- Taherdoost, Hamed
- ORCID
- Taherdoost, Hamed
- Venue
- Procedia Manufacturing
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 22
- Pages
- 960-967
- ISSN
- 2351-9789 (ISSN-L)
- OpenAlex
- W2796276470
- Cited by
- 1,162
- References
- 45
- Citations by year
- 2026: 91 · 2025: 139 · 2024: 191 · 2023: 201 · 2022: 202 · 2021: 170 · 2020: 108 · 2019: 49 · 2018: 11
- FWCI
- 119.74
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Manufacturing (publishedVersion, cc-by-nc-nd)
- SSRN Electronic Journal (submittedVersion)
- HAL (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- technology acceptance, technology adoption, technology adoption model, adoption theory
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
