An empirical investigation on factors affecting the acceptance of CASE by systems developers

This paper presents the findings of an empirical study of factors affecting the acceptance of CASE by systems developers. Based on two research models (technology acceptance and personal computer utilization) recently published in IS literature, an integrated model which consists of six variables and incorporates key elements of both models was developed to examine determinants of CASE acceptance. The findings indicate that ease of use has the largest influence on CASE acceptance, followed by long-term consequences. Both transitional support and near-term usefulness do not have a significant direct effect on the acceptance but exhibit their indirect influence through ease of use and/or long-term consequences. The implementation gap was found to have a relatively small and negative effect on CASE acceptance through its influence on ease of use, near-term usefulness, and long-term consequences. Implications of the findings, from both a research and a managerial perspective are discussed in this paper.