Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

By Yogesh Kumar Dwivedi, Nripendra P. Rana, Anand Jeyaraj, Marc Clement, Michael D. Williams. Information Systems Frontiers, 2017

1,943 citations recorded by the source corpus.

Based on a critical review of the Unified Theory of Acceptance and Use of Technology (UTAUT), this study first formalized an alternative theoretical model for explaining the acceptance and use of information system (IS) and information technology (IT) innovations. The revised theoretical model was then empirically examined using a combination of meta-analysis and structural equation modelling (MASEM) techniques. The meta-analysis was based on 1600 observations on 21 relationships coded from 162 prior studies on IS/IT acceptance and use. The SEM analysis showed that attitude: was central to behavioural intentions and usage behaviours, partially mediated the effects of exogenous constructs on behavioural intentions, and had a direct influence on usage behaviours. A number of implications for theory and practice are derived based on the findings.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/71120d2358acf0c2a377e6e423134c533f5de2b8

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Citations in the corpus

The effect of characteristics of source credibility on consumer behaviour: A meta-analysis (2020, methodology): “(2011) found that expertise claims are weakly related to perceived review usefulness for search and experience products on Amazon, while Filieri et al. (2018a) found that reviewer’s expertise positively influences perceived eWOM usefulness in a service context.”
What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage (2018, background): “…the study by including such concepts as user’s trust in the website, trust in the government, compatibility, e-filing self-efficacy, social influence, and privacy concerns (Janssen, Rana, Slade, and Dwivedi, 2017; Zhou and Li, 2014) to improve on the explanatory power of the theoretical model.”
Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda (2019, background): “Overall, factors affecting the use, impact, success and failure of information systems have been studied extensively (Dwivedi et al. 2015; 2017ab; Hughes et al. 2016; 2017; 2019).”
Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020, methodology): “The meta-UTAUT argued this is significant departure and demonstrated reinstating attitude in the model could improve variance of the model in understanding consumer use of technology (Dwivedi et al., 2019).”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, result): “These results agree with what has been proved by prior literature on mobile banking as reported by Alalwan et al. (2017), Brown et al. (2003), Calisir and Gumussoy (2008), Dwivedi et al. (2017a), Dwivedi et al. (2017b), and Sripalawat et al. (2011).”
Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy (2020, background): “Thereafter, many adoption contexts have relied on the UTAUT (Rana et al. 2016; Dwivedi, Rana, Jeyaraj, et al. 2017; Chua et al. 2018).”
“Chatting with ChatGPT”: Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model (2023, methodology): “Based on prior investigations, the UTAUT model suggests that these four moderators should be considered when predicting and explaining users ’ technology acceptance and usage behaviour [94].”
Investigating environmental sustainability in small family-owned businesses: Integration of religiosity, ethical judgment, and theory of planned behavior (2021, background): “Studies confirm that subjective norms and the intention to adopt and implement a behavior are positively related (Dwivedi et al., 2019; Sharma et al., 2021c).”
Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, methodology): “The construct facilitating conditions (FCO) has been borrowed from Model Acceptance with Peer Support (MAPS) (Sykes, Venkatesh, & Gosain, 2009) and from UTAUT2 (Venkatesh et al., 2012; Williams et al., 2015), the”
Advances in Social Media Research: Past, Present and Future (2017, background): “Chung et al. (2017) employ the Technology Acceptance Model, and find positive effects between traveller readiness and ease of using geo-tagging.”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, methodology): “Dwivedi et al. (2019) proposed individual characteristics such as attitude as an integral part of the UTAUT model based on evidence from extant literature review and MASEM findings.”
Do entrepreneurial education and big-five personality traits predict entrepreneurial intention among universities students? (2020, background): “On the other hand, the importance of attitude as a mediator in the studies of intention is considerable (Dwivedi et al., 2019) hence, it is necessary to study the mediating role of attitude on the relationship between psychological and educational factors (Aboelmaged, 2010).”