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Definitional distinctions and implications for managing end user computing

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Abstract

Research has addressed the impact, implications, and expectations of end user computing (EUC). However, the research has generally been exploratory in nature. Definitions in this area lack consistency and thus are unclear. Further, the primary focus has been on individuals, neglecting an understanding of group dynamics in EUC activities. To address these concerns, this paper advances a more explicit definition, recognizing both development and use activities performed either individually or in groups. Previous research is mapped according to these distinctions, enabling the identification of areas in need of future study. A discussion of issues facing organizations in integrating end user computing is presented. Finally, a framework for EUC in groups is provided. This is intended to advance an understanding of the implications that group dynamics have for the management of EUC activities.

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    This is an extended version of a paper accepted for the 1987 Decision Sciences Institute Conference in Boston, Massachusetts. It was then titled: “End User Computing in Groups: A Conceptual Framework and Model for Research”.

    1

    Janice C. Sipior is an Assistant Professor in the Department of Information Systems and Operations Management at The University of North Carolina at Greensboro. She was formerly an Assistant Professor in the MIS Program at Canisus College in Buffalo, New York. She recently earned her Ph.D. degree from the State University of New York at Buffalo. Previously, she had worked as a computer planning analyst for a major international commercial bank. Her current research interests include information technology assessment and adoption, system development strategies, and end user computing. She has previously published in Datamation.

    2

    G. Lawrence Sanders is an Assistant Professor of Management Science and Systems in the School of Management at the State University of New York at Buffalo. He received his Ph.D. degree from Texas Tech University in 1983. His current research interests include multicriteria decision making, strategies for systems development, information systems implementation, data modeling, and technology transfer. His papers have appeared in several journals including MIS Quarterly, Decision Support Systems, Information and Management, Decision Sciences and the Journal of Management Information Systems.

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