Faculty Publications
Computer Self-Efficacy: A Meta-Analysis
Document Type
Article
Keywords
Behavior, Behavioral Intention, Computer Anxiety, Computer Attitude, Computer Self-Efficacy (CSE), Computer Skill, Meta-Analysis, Perceived Ease of Use, Perceived Usefulness
Journal/Book/Conference Title
Journal of Organizational and End User Computing
Volume
24
Issue
4
First Page
54
Last Page
80
Abstract
Computer self-efficacy (CSE) has been a popular and important construct in information systems research for more than two decades. Although CSE researchers have conducted extensive qualitative reviews, quantitative analyses are lacking for studies of the relationships between CSE and variables of interest. This study provides such a quantitative analysis. The authors meta-analyze 102 empirical CSE studies that reported 232 usable statistical relationships between CSE and seven correlates. Their main meta-analysis demonstrates that CSE is significantly correlated in the theoretically predicted direction with each of the seven correlates. They also quantitatively assess five study characteristics as potential moderators of the CSE-correlate relationships. The moderator analysis reveals complex patterns and indicates that more research is needed to investigate possible moderating effects. Copyright © 2012, IGI Global.
Department
Department of Management
Original Publication Date
10-1-2012
DOI of published version
10.4018/joeuc.2012100104
Recommended Citation
Karsten, Rex; Mitra, Atul; and Schmidt, Dennis, "Computer Self-Efficacy: A Meta-Analysis" (2012). Faculty Publications. 1738.
https://scholarworks.uni.edu/facpub/1738