Cited by 660Technology Adoption and User BehaviourUsability and User Interface DesignInnovative Human-Technology Interaction

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

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

DOI 10.4018/joeuc.2004010104

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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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Authors: Ma, Q., & Liu, L.
Affiliations: University of Central Missouri (US)
University of Akron (US)
ORCID: Liu, Liping
Venue: Journal of Organizational and End User Computing
Publisher: IGI Global Scientific Publishing
Published: 2004-01-01
Volume: 16
Issue: 1
Pages: 59-72
ISSN: 1546-2234 (ISSN-L)
1546-5012
DOI: 10.4018/joeuc.2004010104
OpenAlex: W2067960261
Cited by: 660
References: 43
Citations by year: 2026: 30 · 2025: 28 · 2024: 23 · 2023: 33 · 2022: 35 · 2021: 36 · 2020: 24 · 2019: 24 · 2018: 24 · 2017: 26 · 2016: 28 · 2015: 31 · 2014: 45 · 2013: 30 · 2012: 38
FWCI: 40.16
Type: journal article
Language: ng
Open access: closed
Locations: Journal of Organizational and End User Computing (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: technology acceptance model, perceived ease of use, perceived usefulness, technology acceptance, information technology adoption, user acceptance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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

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