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.
Keywords: Software self-efficacy, Individual differences, Academic disciplines, Computer experience, Family income, Gender, Computer anxiety
Download this article: JISE - Volume 14 Number 2, Page 145.pdf
Recommended Citation: Havelka, D. (2003). Predicting Software Self Efficacy among Business Students: A Preliminary Assessment. Journal of Information Systems Education, 14(2), 145-152.