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A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research

A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research

Ali Tarhini, Nalin Asanka Gamagedara Arachchilage, Ra'ed Masa'deh, Muhammad Sharif Abbasi
Copyright: © 2015 |Volume: 6 |Issue: 4 |Pages: 20
ISSN: 1947-9301|EISSN: 1947-931X|EISBN13: 9781466677807|DOI: 10.4018/IJTD.2015100104
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MLA

Tarhini, Ali, et al. "A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research." IJTD vol.6, no.4 2015: pp.58-77. http://doi.org/10.4018/IJTD.2015100104

APA

Tarhini, A., Arachchilage, N. A., Masa'deh, R., & Abbasi, M. S. (2015). A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research. International Journal of Technology Diffusion (IJTD), 6(4), 58-77. http://doi.org/10.4018/IJTD.2015100104

Chicago

Tarhini, Ali, et al. "A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research," International Journal of Technology Diffusion (IJTD) 6, no.4: 58-77. http://doi.org/10.4018/IJTD.2015100104

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Abstract

Previous research shows that selecting an appropriate theory or model has always remained a critical task for IS researchers. To the best of the authors' knowledge, there are few papers that review and compare the acceptance theories and models at the individual level. Hence, this article aims to overcome this problem by providing a critical review of eight of the most influential theories that have been used to predict and explain human behaviour towards adoption of various technologies at the individual level. This article also summarizes their evolution; highlight the key constructs, extensions, strengths, and criticisms from a selective list of published articles appeared in the literature related to IS. This review provides a holistic picture for future researchers in selecting appropriate single/multiple theoretical models/constructs based on their strengths and weaknesses and in terms of predictive power and path significance. It is concluded that a well-established theory should consider the personal, social, cultural, technological, organizational and environmental factors

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