Journal of Information Systems Education
Abstract
An empirical study was conducted to investigate demographic predictors of software self-efficacy among undergraduate business students. The relationship between academic major, gender, ACT scores, computer-related experience, family income, and computer anxiety level with software self-efficacy was investigated. The results indicate significant differences in software self-efficacy among students with different majors, amounts of computer-related experience, family income levels, and computer anxiety levels. Although significant differences between students from families with different income levels were found, however no clear patterns were discernable.
Recommended Citation
Havelka, Douglas
(2003)
"Predicting Software Self Efficacy among Business Students: A Preliminary Assessment,"
Journal of Information Systems Education: Vol. 14
:
Iss.
2
, 145-152.
Available at:
https://aisel.aisnet.org/jise/vol14/iss2/4
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