Computer Self-Efficacy: A Meta-Analysis

被引：34

作者：

Karsten, Rex ^{[1
]}

Mitra, Atul ^{[2
]}

Schmidt, Dennis ^{[2
]}

机构：

[1] Univ No Iowa, Coll Business Adm, Dept Management, Cedar Falls, IA 50614 USA

[2] Univ No Iowa, Coll Business Adm, Cedar Falls, IA 50614 USA

来源：

JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING | 2012年 / 24卷 / 04期

关键词：

Behavior; Behavioral Intention; Computer Anxiety; Computer Attitude; Computer Self-Efficacy (CSE); Computer Skill; Meta-Analysis; Perceived Ease of Use; Perceived Usefulness; TECHNOLOGY ACCEPTANCE MODEL; SOCIAL COGNITIVE THEORY; INDIVIDUAL CHARACTERISTICS; INFORMATION-TECHNOLOGY; EMPIRICAL-EXAMINATION; LEARNING-PERFORMANCE; USER ACCEPTANCE; PERCEIVED EASE; ANXIETY; BELIEFS;

D O I：

10.4018/joeuc.2012100104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：54 / 80

页数：27

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