The Fit between Business Processes and Process Mining related Activities: a Process Mining Success Model

Jutten, M.G. (2015) The Fit between Business Processes and Process Mining related Activities: a Process Mining Success Model.

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Abstract:Process Mining is a collection of techniques to analyze the information stored in event data produced by information systems. While the relatively young research discipline Process Mining has produced quite some literature on a wide range of techniques and their applicability in case studies, there is only little knowledge of the success factors of Process Mining in organizations. The Success Model is based on the well-established Task-Technology Fit model of Zigurs and Buckland. By analyzing 11 Process Mining case studies on the Business Process characteristics and the added value of Process Mining related activities, three Fit scenarios are defined (Ad Hoc, Routine and Standardized). The Fit scenarios describe the added value of Process Mining related activities depending on the Business Process characteristics. The results are validated with 11 interviews which support the model except for the Organizational Mining related activities. These activities were hardly mentioned during the interviews. As a result there is no support to either discard or include Organizational Mining in the model. Since the Success Model is able to give insight into the focus of Process Mining related activities based on Business Process characteristics, the model contributes to understanding Process Mining success.
Item Type:Essay (Master)
Clients:
Deloitte, Amsterdam, Netherlands
Deloitte, Amsterdam, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 58 process technology, 85 business administration, organizational science
Programme:Business Information Technology MSc (60025)
Link to this item:http://purl.utwente.nl/essays/67495
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