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 (Brunel University London, Uxbridge, UK), Nalin Asanka Gamagedara Arachchilage (University of New South Wales at the Australian Defense Force Academy, Canberra, Australia), Ra'ed Masa'deh (University of Jordan, Amman, Jordan) and Muhammad Sharif Abbasi (University of Sindh, Jamshoro, Pakistan)
Copyright: © 2015 |Pages: 20
DOI: 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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1. Introduction

The decision of how and why people adopt or reject a particular technology has been a prominent topic in the field of information system (IS), marketing and social science (Tarhini, Hone, & Liu, 2013; Venkatesh, Thong & Xu, 2012; Benbasat & Barki, 2007). For the last three decades, researchers have aimed to understand, predict and explain the factors that influence the adoption of technology at individual as well as organizational levels (Abbasi et al, 2015; Abu Tair & Abu-Shanab, 2014; Venkatesh & Zhang, 2010). Other behaviour theories move away from the individual to focus either on behaviour itself, or relationships between behaviour, individuals and the social and physical environments in which they occur. As a result, numerous technology acceptance theories and models have been developed and used to exploit the determinants and mechanisms of users’ adoption decisions and behaviours. These models include: The Theory of Reasoned Action (TRA) (Fishbein & Ajzen, 1975), the Theory of Planned Behavior (Ajzen, 1991), the Technology Acceptance Model (Davis, 1989; Davis, Bagozzi & Warshaw, 1989) and the extended TAM (Venkatesh & Davis, 2000), the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003), the Motivational Model (Davis, Bagozzi & Warshaw, 1992), the model combining TAM and the Theory of Planned Behavior (Taylor & Todd, 1995c), the Innovation Diffusion Theory (Rogers, 1995) and the Social Cognitive Theory (Bandura, 1986).

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