The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
|
Author(s): Qingxiong Ma (Central Missouri State University, USA)and Liping Liu (University of Akron, USA)
Copyright: 2005
Pages: 17
Source title:
Advanced Topics in End User Computing, Volume 4
Source Author(s)/Editor(s): Mo Adam Mahmood (University of Texas at El Paso, USA)
DOI: 10.4018/978-1-59140-474-3.ch006
Purchase
|
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 a 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 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.
Related Content
Rod D. Roscoe, Russell J. Branaghan, Nancy J. Cooke, Scotty D. Craig.
© 2018.
34 pages.
|
Steve Ritter, R. Charles Murray, Robert G. M. Hausmann.
© 2018.
17 pages.
|
Yvonne S. Kao, Bryan J. Matlen, Michelle Tiu, Linlin Li.
© 2018.
24 pages.
|
Melissa L. Stone, Kevin M. Kent, Rod D. Roscoe, Kathleen M. Corley, Laura K. Allen, Danielle S. McNamara.
© 2018.
23 pages.
|
Elizabeth R. Kazakoff, Melissa Orkin, Kristine Bundschuh, Rachel L. Schechter.
© 2018.
24 pages.
|
Irfan Kula, Russell J. Branaghan, Robert K. Atkinson, Rod D. Roscoe.
© 2018.
17 pages.
|
Erin Walker, Ruth Wylie, Andreea Danielescu, James P. Rodriguez III, Ed Finn.
© 2018.
19 pages.
|
|
|