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Abstract:
This paper discusses systems development in the context of problemsolving strategies. A theoretical basis for the two dominant problem-solving approaches (sdlc and prototyping) is presented along with the results of a field study of the effectiveness of the strategies in fourth-generation language environments.
Results from the study indicate the appropriateness of a mixed development strategy contingent on system type. Implications for future research on systems development are also presented.
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Notes on contributors
Robert P. Cerveny
Robert P. Cerveny is Associate Professor of Management Science and Systems in the School of Management, State University of New York at Buffalo, where he is director of Mis programs and a director of The Center for Industrial Effectiveness. He holds a Ph.D. from the University of Texas at Austin and has published over 25 papers in the information systems area. His research interests include systems implementation issues, requirements analysis, and expert systems. He is a member of several professional societies, including the Association for Computing Machinery, the Decision Sciences Institute, and The Institute for Management Sciences.
Edward J. Garrity
Edward J. Garrity is Assistant Professor of Information Systems and Operations Management at the University of North Carolina at Greensboro. He holds a Ph.D. in MIS and an M.B.A. from the State University of New York at Buffalo. Previously he worked as an analyst/programmer for a major commercial bank, and as Assistant Professor of MIS at Canisius College in Buffalo. He has consulted for several organizations and is a member of the Association of Computing Machinery and the Decision Sciences Institute. He has previously published research in JMIS and Datamation, as well as in the proceedings of DSI, DSS, and HICSS conferences. His current research interests include systems development, prototyping, and the application of Ai and cognitive science to Mis.
G. Lawrence Sanders
G. Lawrence Sanders is Associate Professor of Management Science and Systems in the School of Management, State University of New York at Buffalo. He received his Ph.D. from Texas Tech University. His current research interests are in the cognitive science approach to systems development, strategic database design, and systems success measurement. He has published articles in several journals, including Decision Sciences, JMIS and MIS Quarterly.