Cited by 1,162Technology Adoption and User BehaviourInnovation Diffusion and ForecastingInformation Systems Theories and Implementation

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A review of technology acceptance and adoption models and theories

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Taherdoost, Hamed·2018·Procedia Manufacturing

DOI 10.1016/j.promfg.2018.03.137

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Abstract

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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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
Untitled work
(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
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664

Show all 45 references

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.

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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)
DOI: 10.1016/j.promfg.2018.03.137
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: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 73 d)
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

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A review of technology acceptance and adoption models and theories

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