Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners

Abstract

Educators need to know how to motivate business students (i.e., future business practitioners) to learn and use statistical software, which can provide the practical skills necessary for business professionals to analyze data and make informed decisions. Using a sample of 207 online MBA students from an AACSB accredited university in the Midwest, a modified TAM model was examined using LISREL 8.80. The empirical results show that both computer attitude and statistical software self-efficacy have significant, positive effects on perceived usefulness. In addition, it was found that both perceived usefulness and perceived ease of use positively influence learners’ intentions to use statistical software, whereas their anxiety with statistics has a significant, negative impact on perceived usefulness, perceived ease of use and behavioral intentions. Both theoretical and practical implications are discussed in this paper.