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Sequential patterns in information systems development: an application of a social process model

Published: 11 January 1996 Publication History

Abstract

We trace the process of developing and implementing a materials management system in one company over a 15-year period. Using a process research model developed by Newman and Robey, we identify 44 events in the process and define them as either encounters or episodes. Encounters are concentrated events, such as meetings and announcements, that separate episodes, which are events of longer duration. By examining the sequence of events over the 15 years of the case, we identify a pattern of repeated failure, followed by success. Our discussion centers on the value of detecting and displaying such patterns and the need for theoretical interpretation of recurring sequences of events. Five alternative theoretical perspectives, originally proposed by Kling, are used to interpret the sequential patterns identified by the model. We conclude that the form of the process model allows researchers who operate from different perspectives to enrich their understanding of the process of system development.

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Leo L. Pipino

Utilizing a process model they developed, Robey and Newman present an analysis of the development and implementation, over a 15-year period, of a materials management system. They elaborate the process model and its underlying philosophy. They then present a detailed case analysis based on their model. Lastly, they interpret the result using five of the six theoretical perspectives on the social analysis of computing proposed by Kling. The process model is intended to represent patterns of behavior that occur during the development process. It first identifies conditions antecedent to the initiation of the system's development and then identifies a sequence of key events over time. The two fundamental types of events are episodes, which constitute “long periods of equilibrium,” and encounters, which are shorter events that separate episodes and can effect changes in the equilibrium state. The approach presented in thi s paper differs from the more traditional approach of identifying factors that affect the success or failure of development efforts. The technique described can be of value as a diagnostic tool. Although obstacles, such as selective memory recall and the unavailability of testimony from former employees, may prevent the use of the approach for retrospective studies, an organization could initiate the keeping of a chronology of events for new, long-term development projects. Over time, this log could provide the basis for self-analysis using a process model. Overall, this paper is clearly written and is worth reading for its innovative approach, its theoretical grounding, and the practical case analysis it presents.

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Published In

cover image ACM Transactions on Information Systems
ACM Transactions on Information Systems  Volume 14, Issue 1
Jan. 1996
104 pages
ISSN:1046-8188
EISSN:1558-2868
DOI:10.1145/214174
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 January 1996
Published in TOIS Volume 14, Issue 1

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  1. social processes
  2. system implementation

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