The Technology Acceptance Model: A Meta-Analysis of Empirical Findings

By Qingxiong Ma, Liping Liu. Journal of Organizational and End User Computing, 2004

732 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/87119b944b3b0fb405c9fc8f5121da2ce07211ca

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Citations in the corpus

The acceptance and use of a virtual learning environment in China (2008, background): “In general, perceived usefulness and perceived ease of use have constituted a significant influence on an individual’s intention to use a technology or system ( Ma & Liu, 2004; Schepers & Wetzels, 2006).”
Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015, background): “Perceived usefulness consistently stands out as the main driver of technology adoption (King & He, 2006; Ma & Liu, 2004; Schepers & Wetzels, 2007).”
Using the Technology Acceptance Model in Understanding Academics' Behavioural Intention to Use Learning Management Systems (2014, methodology): “The technology acceptance model (TAM)[13] is possibly the most widely-used framework in the field of IS for measuring technology acceptance[4, 39-41], and its high validity has been proven empirically in many previous studies[42-44].”
Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2 (2020, methodology): “Researchers had made continuous effort from beginning of this century to synthesize results based on the TAM employing both systematic literature review (Lee et al. 2003; Legris et al. 2003), and meta-analysis techniques (King and He 2006; Ma and Liu 2004).”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, methodology): “Prior research shows that meta-analysis is a valuable tool for research synthesis (Hwang 1996; Lee et al. 2003; Ma and Liu 2004; Wu and Lederer 2009) and an operative instrument for hypothesis testing (Dennis et al. 2001; Sabherwal et al. 2006; Sharma and Yetton 2003; Wu and Lederer 2009).”
The role of moderating factors in user technology acceptance (2006, result): “On the bright side, our results show great consistency with several other meta-analysis results (Lee et al., 2003; Legris et al., 2003; Ma and Liu, 2004).”
THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, unknown): “Reviews of the most basic version of the theory routinely find that it accounts for 30–40% of IT acceptance, despite its relative simplicity [34–38].”
Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, background): “Since its seminal appearance (Davis et al., 1989), multiple meta-analyses of extant TAM research indicate that hundreds of studies have focused on investigating and extending TAM theory in different contexts (King & He, 2006; Ma & Liping, 2004; Schepers & Wetzels, 2007; Venkatesh et al., 2003).”
Does the technology acceptance model predict actual use? A systematic literature review (2010, background): “Ma and Liu [39] based their meta-analysis on 26 empirical studies, Deng et al.”
Technology Acceptance among Physicians (2007, methodology): “Although other predictive models exist, the TAM is the most widely recognized model of behavioral intention in the information systems literature (Ma and Liu 2004).”
The effects of transparency on trust in and acceptance of a content-based art recommender (2008, background): “Several authors have studied possible extensions to the Technology Acceptance Model (see e.g. Ndubisi et al. 2005; Ma and Liu 2004; Klopping and McKinney 2004; van der Heijden 2004). van der Heijden (2004), for example, showed that the purpose of a system plays an important role in determining the…”