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

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

Qingxiong Ma, Liping Liu
ISBN13: 9781599049458|ISBN10: 1599049457|EISBN13: 9781599049465
DOI: 10.4018/978-1-59904-945-8.ch079
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MLA

Ma, Qingxiong, and Liping Liu. "The Technology Acceptance Model: A Meta-Analysis of Empirical Findings." End-User Computing: Concepts, Methodologies, Tools, and Applications, edited by Steve Clarke, IGI Global, 2008, pp. 1088-1100. https://doi.org/10.4018/978-1-59904-945-8.ch079

APA

Ma, Q. & Liu, L. (2008). The Technology Acceptance Model: A Meta-Analysis of Empirical Findings. In S. Clarke (Ed.), End-User Computing: Concepts, Methodologies, Tools, and Applications (pp. 1088-1100). IGI Global. https://doi.org/10.4018/978-1-59904-945-8.ch079

Chicago

Ma, Qingxiong, and Liping Liu. "The Technology Acceptance Model: A Meta-Analysis of Empirical Findings." In End-User Computing: Concepts, Methodologies, Tools, and Applications, edited by Steve Clarke, 1088-1100. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-945-8.ch079

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Abstract

The technology acceptance model proposes that perceived ease of use and perceived usefulness predict the acceptance of information technology. Since its inception, the model has been tested with various applications in tens of studies and has become the most widely applied model of user acceptance and usage. Nevertheless, the reported findings on the model are mixed in terms of statistical significance, direction, and magnitude. In this study, we conducted a meta-analysis based on 26 selected empirical studies in order to synthesize the empirical evidence. The results suggest that both the correlation between usefulness and acceptance, and that between usefulness and ease of use are somewhat strong. However, the relationship between ease of use and acceptance is weak, and its significance does not pass the fail-safe test.

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