Toward a Contingency Model for Selecting an Information System Prototyping Strategy
通过行业调查，实证研究了五个权变因素（项目创新性、系统对组织的影响、用户参与、用户数量、开发者原型化经验）与原型化结合对系统成功的影响，为管理者选择原型化策略提供参考。
Abstract:Many proposed contingencies regarding the conditions when the use of prototyping will lead to successful system development appear in the literature. Using an industry survey, this exploratory study empirically investigates the effect of certain contingencies on system success. Overall, results indicate that five variables, when combined with prototyping, affect system success (as indicated by user satisfaction): innovativeness of the project, impact of the system on the organization, user participation, number of users, and developer experience with prototyping. These results provide some insight into the proper uses of prototyping to improve system success. The results also indicate that several of the current contingencies, if followed, do not ensure high levels of system success.Key Words and Phrases: contingency theoryinformation system prototypingsystems developmentsystem success Additional informationNotes on contributorsBill C. HardgraveBill C. Hardgrave is Executive Director of the Information Technology Research Center and Associate Professor of Computer Information Systems in the Sam M. Walton College of Business Administration at the University of Arkansas. He received his Ph.D. in MIS from Oklahoma State University. His research interests include object-oriented development, information systems prototyping, and adoption of software development innovations. Dr. Hardgrave has published in Communications of the ACM, DATA BASE, Journal of Systems and Software, Information & Software Technology, Journal of Computer Information Systems, and Computers & Operations Research, among other journals.Rick L. WilsonRick L. Wilson is Associate Professor of Management Science and Information Systems at Oklahoma State University. He received his Ph.D. in MIS from the University of Nebraska-Lincoln. Dr. Wilson has published in Communications of the ACM, Decision Sciences, Decision Support Systems, Information and Management, International Journal of Production Research, and International Journal of Production and Operations Management, among other journals. His current research interests include neural networks, decision support systems, integrated management science applications, and the use of database technology.Ken EastmanKen Eastman is Associate Professor of Management at Oklahoma State University. He received his Ph.D. in organizational behavior from the University of Nebraska-Lincoln. Dr. Eastman has published in the Academy of Management Journal and Journal of Applied Psychology, among other journals. His current research focuses on ingratiation.