The unified theory of acceptance and use of technology (UTAUT): a literature review

By Michael D. Williams, Nripendra P. Rana, Yogesh Kumar Dwivedi. Journal of Enterprise Information Management, 2015

1,144 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/47e91abbc1bb385248d62a38c924c3cf5d9b1857

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Citations in the corpus

The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, background): “The e ﬀ ects of these determinants are hypothesized to be moderated by respondents' gender, age, experience, and the voluntariness of technology use (Williams, Rana, & Dwivedi, 2015).”
The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency (2018, background): “[21] claim that performance expectancy and behavioral intention are the best predictors for using technology.”
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”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, positive): “socially acceptable new technology (Al-Somali et al., 2009; Williams et al., 2015).”
Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, background): “Due to their popularity, numerous researchers have undertaken systematic literature reviews and offered comprehensive analysis and evaluation on their applications, effectiveness and limitations (e.g. Venkatesh and Davis, 2000; Venkatesh et al., 2016; Williams et al., 2015).”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, methodology): “…of performing meta-analysis and MASEM for some other more frequently occurring additional variables including self-efficacy, perceived trust, perceived risk and anxiety along the UTAUT model as informed by the most recent and comprehensive literature review (i.e. Williams et al. 2015) on UTAUT.”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, methodology): “The framework is already used to evaluate popular IS theories such as virtuality and knowledge in teams (Griffith et al., 2003) and UTAUT (Dwivedi et al., 2017, 2020; Rana et al., 2016, 2017; Venkatesh et al., 2003; Williams et al., 2015) revealing noteworthy findings.”
Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy (2016, background): “Over the prior literature, PU has been noticed as one of the most influential drivers of BI to adopt MB (Akturan and Tezcan, 2012; Chen et al., 2014; Hanafizadeh et al., 2014; Kapoor et al., 2014; Luarn and Lin, 2005; Wessels and Drennan, 2010; Williams et al., 2015).”
The battle of Brain vs. Heart: A literature review and meta-analysis of "hedonic motivation" use in UTAUT2 (2019, methodology): “In addition to meta-analysis, researchers have also employed weight-analysis and systematic literature review techniques for literature synthesis in the past ( e.g., Ismagilova et al., 2017; Kapoor et al., 2017; Tamilmani et al., 2018e; 2018b; Williams et al., 2015).”
Exploring the role of social media in collaborative learning the new domain of learning (2020, background): “…latent multi variance technique which provides the concurrent estimation of structural and measurement model that does not meet parametric assumption (Coelho & Duarte, 2016; Haryono & Wardoyo, 2012; Lee, 2007; Moqbel, Nevo, & Kock, 2013; Raykov & Marcoulides, 2000; Williams, Rana, & Dwivedi, 2015).”