Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/330721 
Year of Publication: 
2025
Citation: 
[Journal:] Business & Information Systems Engineering [ISSN:] 1867-0202 [Volume:] 67 [Issue:] 3 [Publisher:] Springer Fachmedien Wiesbaden GmbH [Place:] Wiesbaden [Year:] 2025 [Pages:] 339-356
Publisher: 
Springer Fachmedien Wiesbaden GmbH, Wiesbaden
Abstract: 
Process mining has been established as a data-driven approach to analyze and improve business processes based on event data documented in event logs. A core assumption for meaningful analyses is that event data accurately represent the real-world execution of business processes in an organization. However, anecdotal evidence and recent case studies show that these aspects do not always align, and the business process management community is only beginning to investigate the mechanisms generating mismatches between process execution and event data. This study aims to identify the role of workarounds—goal-directed deviations from standard processes performed by process participants to overcome obstacles—in this context. Through an inductive multiple case study of 13 workarounds in four organizations, three mismatch categories between event logs and real-world process execution related to workarounds are identified and explored. This study contributes to the literature by describing how workarounds can act as mechanisms that cause mismatches between process execution and event data, adding to the discussion on process drift and workaround mining. Furthermore, exploring the mismatch categories offers insights for practitioners and researchers on how to handle and interpret data quality issues in event data.
Subjects: 
Mismatches
Business process management
Process mining
Workarounds
Case study research
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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