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.
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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.
“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
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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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
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 · see citing works
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 · see citing works
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975 · see citing works
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
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 · see citing works
(1985) · Cited by 6,185 · see citing works
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 · see citing works
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Reconceptualizing Compatibility Beliefs in Technology Acceptance Research1
Karahanna, E., Agarwal, R., & Angst, C. M. (2006) · MIS Quarterly · doi:10.2307/25148754 · Cited by 707 · see citing works
Sjöberg, L. (1998) · Risk Analysis · doi:10.1111/j.1539-6924.1998.tb00918.x · Cited by 454 · see citing works
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 · see citing works
Lin, F., Fofanah, S. S., & Liang, D. (2011) · Government Information Quarterly · doi:10.1016/j.giq.2010.09.004 · Cited by 433 · see citing works
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 · see citing works
Igbaria, M., Schiffman, S. J., & Wieckowski, T. J. (1994) · Behaviour and Information Technology · doi:10.1080/01449299408914616 · Cited by 373 · see citing works
Maillet, É., Mathieu, L., & Sicotte, C. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.09.004 · Cited by 335 · see citing works
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 303 · see citing works
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 237 · see citing works
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 · see citing works
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 · see citing works
Grellhesl, M., & Punyanunt-Carter, N. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.024 · Cited by 165 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 73 · see citing works
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 · see citing works
Gagnon, M.-P., Sánchez, E., & Pons, J. M. (2006) · Implementation Science · doi:10.1186/1748-5908-1-8 · Cited by 57 · see citing works
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 · see citing works
Smart Card Security; Technology and Adoption
Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2011) · Cited by 42 · see citing works
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 41 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Haykin, M. E., & Warnar, R. B. J. (1988) · doi:10.6028/nist.sp.500-157 · Cited by 20 · see citing works
Chen, C.-D., Huang, T. C.-K., Chen, M., & Ku, E. C. S. (2015) · Journal of the Association for Information Systems · Cited by 15 · see citing works
Flagged first, then by citations
2 of the 45 references couldn’t be matched to a known paper.
Research works printed but not linked: 11
- A. Dillon, M. Morris, User Acceptance of Information Technology: Theories and Models. In: M. Williams (ed.) Annual Review of Information Science and Technology, Medford NJ: Information Today. 31 (1996) 3-32.
- E.M. Rogers, Diffusion of innovations, 5 th ed., New York: Free Press, 2003, p. 512.
- V. Venkatesh, et al., User acceptance of information technology: Towards a unified view. MIS Quarterly. 27(3) (2003) 425-478.
- A. Bandura, Self-efficacy: towards a unifying theory of behavioural change. Psychological Review. 84 (1977) 191-215.
- A. Bandura, Relections on self-efficacy, in Advances in Behavioral research and Therapy, S. Rashman, Editor, Pergamon Press: Oxford, 1978, p. 237-269.
- A. Bandura, Social Foundations of Thought and Action: A Social Cognitive Theory. 1986, Englewood Cliffs, United States of America: Prentice Hall, Inc. 544.
- H. Taherdoost, M. Namayandeh, N. Jalaliyoon, Information Security and Ethics in Educational Context: Propose a Conceptual Framework to Examine Their Impact. International Journal of Computer Science and Information Security. 9(1) (2011) 134-138.
- 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.
- E.M. Rogers, Diffusion of innovations. 4 th ed., New York: Free Press, 1995.
- G.F. Loewenstein, et al., Risks as feelings. Psychological Bulletin. 127(2) (2001) 267-286.
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Hung, L., Liu, C., Woldum, E., Au-Yeung, A., Berndt, A., Wallsworth, C., Horne, N., Gregorio, M., Mann, J., & Chaudhury, H. (2019) · BMC Geriatrics · doi:10.1186/s12877-019-1244-6 · Cited by 356 · see citing works
Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019) · IEEE Access · doi:10.1109/access.2019.2957206 · Cited by 349 · see citing works
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Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2019.1599446 · Cited by 278 · see citing works
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Mantello, P., Ho, M.-T., Nguyen, M.-H., & Vuong, Q. (2021) · Ai & Society · doi:10.1007/s00146-021-01290-1 · Cited by 159 · see citing works
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Malatji, W. R., Eck, R. V., & Zuva, T. (2020) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj050612 · Cited by 136 · see citing works
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Ulrich, F., Helms, N. H., Frandsen, U. P., & Rafn, A. V. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1579234 · Cited by 108 · see citing works
Chohan, S. R., & Hu, G. (2020) · IEEE Access · doi:10.1109/access.2020.3036054 · Cited by 112 · see citing works
Al-Smadi, M. O. (2022) · Borsa Istanbul Review · doi:10.1016/j.bir.2022.11.016 · Cited by 101 · see citing works
Khanijahani, A., Iezadi, S., Dudley, S., Goettler, M., Kroetsch, P., & Wise, J. (2022) · Health Policy and Technology · doi:10.1016/j.hlpt.2022.100602 · Cited by 106 · see citing works
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Dahri, N. A., Al-Rahmi, W. M., Almogren, A. S., Yahaya, N., Vighio, M. S., Al-Maatouk, Q., Al-Rahmi, A. M., & Al‐Adwan, A. S. (2023) · Sustainability · doi:10.3390/su15118514 · Cited by 87 · see citing works
Roy, P., Ramaprasad, B. S., Chakraborty, M., Prabhu, N. K. P., & Rao, S. (2020) · Global Business Review · doi:10.1177/0972150920939753 · Cited by 98 · see citing works
Antecedents of consumer loyalty in ride-hailing
Lee, C. K. H., & Wong, A. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.03.016 · Cited by 87 · see citing works
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Barricelli, B. R., & Fogli, D. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2118189 · Cited by 92 · see citing works
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Dissanayake, C. A. K., Jayathilake, W. M. N. K., Wickramasuriya, H. V. A., Dissanayake, U., Kopiyawattage, K. P. P., & Wasala, W. M. C. B. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/9258317 · Cited by 111 · see citing works
Pal, D., Zhang, X., & Siyal, S. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101683 · Cited by 84 · see citing works
An expansion of the technology acceptance model applied to the halal tourism sector
Berakon, I., Wibowo, M. G., Nurdany, A., & Aji, H. M. (2021) · Journal of Islamic marketing · doi:10.1108/jima-03-2021-0064 · Cited by 112 · see citing works
Upham, P., Bögel, P. M., & Dütschke, E. (2019) · Environmental Innovation and Societal Transitions · doi:10.1016/j.eist.2019.10.005 · Cited by 83 · see citing works
Taherdoost, H. (2019) · Global Journal of Engineering Sciences · doi:10.33552/gjes.2019.01.000511 · Cited by 80 · see citing works
Niknejad, N., Ismail, W., Bahari, M., & Nazari, B. (2021) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2020.12.014 · Cited by 80 · see citing works
Ullah, S., Safdar, U., Raza, B., & Mustafa, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.873708 · Cited by 105 · see citing works
Malik, S. A., & Ayop, A. R. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101416 · Cited by 79 · see citing works
Teachers’ technology use for teaching: Comparing two explanatory mechanisms
Backfisch, I., Scherer, R., Siddiq, F., Lachner, A., & Scheiter, K. (2021) · Teaching and Teacher Education · doi:10.1016/j.tate.2021.103390 · Cited by 83 · see citing works
Osrof, H. Y., Tan, C.-L., Angappa, G., Yeo, S., & Tan, K. H. (2023) · Technology and Society · doi:10.1016/j.techsoc.2023.102400 · Cited by 71 · see citing works
The social perspective on policy towards local shared autonomous vehicle services (LSAVS)
Paddeu, D., Shergold, I., & Parkhurst, G. P. (2020) · Transport Policy · doi:10.1016/j.tranpol.2020.05.013 · Cited by 76 · see citing works
Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea
Li, X., Lai, P., Yang, C., & Yuen, K. F. (2021) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2021.102139 · Cited by 79 · see citing works
Mantello, P. A., Ho, T. M., Nguyen, M., & Vuong, Q. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01837-1 · Cited by 84 · see citing works
Exploring factors influencing technology adoption rate at the macro level: A predictive model
Hooks, D., Davis, Z., Agrawal, V., & Li, Z. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101826 · Cited by 74 · see citing works
Farzin, I., Mamdoohi, A. R., & Ciari, F. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2083464 · Cited by 73 · see citing works
What Makes a Social Robot Good at Interacting with Humans?
Onyeulo, E. B., & Gandhi, V. (2020) · Information · doi:10.3390/info11010043 · Cited by 71 · see citing works
An integrated model for examining teachers’ intentions to use augmented reality in science courses
Ateş, H., & Garzón, J. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11239-6 · Cited by 71 · see citing works
Geng, L., Li, Y., Zhang, Y., Jiang, Z., & Xue, Y. (2023) · Current Issues in Tourism · doi:10.1080/13683500.2023.2177834 · Cited by 71 · see citing works
A contextualized study of the usage of the augmented reality technology in the tourism industry
Ronaghi, M. H., & Ronaghi, M. (2022) · Decision Analytics Journal · doi:10.1016/j.dajour.2022.100136 · Cited by 70 · see citing works
Predicting Adoption Intention of Artificial Intelligence ChatGPT
Emon, M. M. H., Hassan, F., Nahid, M. H., & Rattanawiboonsom, V. (2023) · AIUB Journal of Science and Engineering (AJSE) · doi:10.53799/ajse.v22i2.797 · Cited by 70 · see citing works
Student perceptions on using cell phones as learning tools
Ahmad, T. (2020) · PSU Research Review · doi:10.1108/prr-03-2018-0007 · Cited by 69 · see citing works
Digital wellbeing tools through users lens
Almourad, M. B., Alrobai, A., Skinner, T., Hussain, M., & Ali, R. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101778 · Cited by 69 · see citing works
Smartphone-Based Biosensor Devices for Healthcare: Technologies, Trends, and Adoption by End-Users
Madrid, R. E., Ramallo, F. A., Barraza, D. E., & Chaile, R. E. (2022) · Bioengineering · doi:10.3390/bioengineering9030101 · Cited by 69 · see citing works
Green credit policy and corporate green innovation
He, J., Xue, H., Yang, W., Zhong, Y., & Fan, B. (2025) · International Review of Economics & Finance · doi:10.1016/j.iref.2025.104031 · Cited by 69 · see citing works
Qasem, Z. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102254 · Cited by 68 · see citing works
An Exploratory Approach to the Adoption Process of Bitcoin by Business Executives
Palos‐Sánchez, P. R., Saura, J. R., & Ayestarán, R. (2021) · Mathematics · doi:10.3390/math9040355 · Cited by 69 · see citing works
Factors influencing the willingness to use agrivoltaics: A quantitative study among German farmers
Wagner, J., Bühner, C., Gölz, S., Trommsdorff, M., & Jürkenbeck, K. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.122934 · Cited by 66 · see citing works
Lee, J., & Jung, I. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00286-7 · Cited by 64 · see citing works
Educational UTAUT-based virtual reality acceptance scale: a validity and reliability study
Üstün, A. B., Yılmaz, F. G. K., & Yılmaz, R. (2022) · Virtual Reality · doi:10.1007/s10055-022-00717-4 · Cited by 71 · see citing works
An analytical framework for studying attitude towards emotional AI: The three-pronged approach
Ho, T. M., Mantello, P. A., & Ho, M. (2023) · MethodsX · doi:10.1016/j.mex.2023.102149 · Cited by 64 · see citing works
Ahmad, S., Miskon, S., Alkanhal, T. A., & Tlili, I. (2020) · Applied Sciences · doi:10.3390/app10093208 · Cited by 62 · see citing works
An exploratory study on academic staff perception towards blended learning in higher education
Anthony, B. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10705-x · Cited by 62 · see citing works
The perceptions of social media users of digital detox apps considering personality traits
Nguyen, V. T. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11022-7 · Cited by 64 · see citing works
Aytekin, A., Özköse, H., & Ayaz, A. (2022) · Collnet Journal of Scientometrics and Information Management · doi:10.1080/09737766.2021.2007037 · Cited by 66 · see citing works
Kumar, P., Gupta, S., & Dagar, V. (2023) · Sustainable Development · doi:10.1002/sd.2644 · Cited by 66 · see citing works
- 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 › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- technology acceptance, technology adoption, technology adoption model, adoption theory
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