Title
Sequential patterns in information systems development: an application of a social process model
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.
Year
DOI
Venue
1996
10.1145/214174.214178
ACM Trans. Inf. Syst.
Keywords
Field
DocType
sequential pattern,process model,alternative theoretical perspective,theoretical interpretation,social processes,system development,materials management system,process research model,system implementation,social process model,15-year period,different perspective,concentrated event,information systems development,discussion center,management system
Data science,Materials management,Information system,Information retrieval,Simulation,Computer science,Implementation,Social processes,System development
Journal
Volume
Issue
ISSN
14
1
1046-8188
Citations 
PageRank 
References 
78
5.81
6
Authors
2
Name
Order
Citations
PageRank
Daniel Robey156227.66
Michael Newman21057.83