Abstract
This study examines the impact of various organizational and technology characteristics on the adoption of computer aided software engineering (CASE) technology. Based on research in innovation adoption and IS implementation, the study develops a research model comprised of seven factors that are important for the successful adoption of CASE technology. The data for the study were collected through a field survey of IS managers in the midwest area and 90 responses were received. The results of discriminant analysis reveal that of the seven predictor variables, five are important to differentiate adopters from non-adopters. They are the existence of a product champion, strong top management support, lower IS expertise, perception that CASE technology has greater relative advantage over other alternatives, and a conviction of the cost effectiveness of the technology. The results are consistent with findings in innovation adoption literature as well as case studies of many firms' experience on CASE implementation.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Management Information Systems
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