The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
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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“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”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Ma and Liu 2004
In the citing paper
“This comprehensive search strategy allowed us to minimize the source bias, maximize the number of studies, and therefore increase the quality of the meta-analysis (Ma and Liu 2004) to be performed.”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Ma and Liu 2004
Citations
Cites
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
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Statistical Methods for Research Workers
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The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
“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].”
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019) · Information Systems Frontiers · doi:10.1007/s10796-017-9774-y · Cited by 2,137
“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).”
BackgroundMethodA meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906
Schepers, J., & Wetzels, M. G. M. (2006) · Information & Management · doi:10.1016/j.im.2006.10.007 · Cited by 1,808
Investigating the Importance of Trust on Adopting an Autonomous Vehicle
Choi, J. K., & Ji, Y. G. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1070549 · Cited by 1,269
“Perceived usefulness consistently stands out as the main driver of technology adoption (King & He, 2006; Ma & Liu, 2004; Schepers & Wetzels, 2007).”
BackgroundResultInfluential
Metadata
- 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
- 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
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