How to Leverage Process Mining in Organizations: Towards Process Mining Capabilities

Gregor Kipping*, Djordje Djurica, Sandro Franzoi, Thomas Grisold, Laura Marcus, Sebastian Schmid, Jan vom Brocke, Jan Mendling, Maximilian Röglinger

*Corresponding author for this work

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Process mining is a fast-growing technology concerned with managing and improving business processes. While the technology itself has been thoroughly scrutinized by prior research, we are only beginning to understand the managerial and organizational implications of process mining. Creating such knowledge is essential for a successful adoption and use of process mining in organizations. We conduct a qualitative-inductive interview study to explore how process mining can be leveraged in organizations. To this end, we systematically examine the needs and experiences of practitioners with process mining at different levels, including heads of process mining, process analysts, and data engineers. Complementing our tutorial, this article provides a theoretical background, outlines our research approach, and presents preliminary findings.

Original languageEnglish
Title of host publicationBusiness Process Management
Subtitle of host publication20th International Conference, BPM 2022, Proceedings
EditorsClaudio Di Ciccio, Remco Dijkman, Adela del Río Ortega, Stefanie Rinderle-Ma
Place of PublicationCham
PublisherSpringer International Publishing
Number of pages7
ISBN (Electronic)9783031161032
ISBN (Print)9783031161025, 9783031161049
Publication statusPublished - 11 Sept 2022
Event20th International Conference on Business Process Management, BPM 2022 - Virtual, Online
Duration: 11 Sept 202216 Sept 2022

Publication series

SeriesLecture Notes in Computer Science (LNCS)


Conference20th International Conference on Business Process Management, BPM 2022
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.


  • Organizational implications
  • Process mining
  • Process mining capabilities

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