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

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Business Process Management (BPM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13420))

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Abstract

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.

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Acknowledgements

This proposal has been funded by the ERASMUS+ program of the European Union (EU Funding 2021-1-LI01-KA220-HED-000027575 “Developing Process Mining Capabilities at the Enterprise Level”). We would like to express our gratitude to the European Union and AIBA Liechtenstein for their support.

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Authors and Affiliations

  1. University of Liechtenstein, Vaduz, Liechtenstein

    Gregor Kipping, Sandro Franzoi, Thomas Grisold & Jan vom Brocke

  2. Vienna University of Economics and Business (WU), Vienna, Austria

    Djordje Djurica & Jan Mendling

  3. Humboldt University of Berlin, Berlin, Germany

    Jan Mendling

  4. University of Bayreuth, Bayreuth, Germany

    Laura Marcus, Sebastian Schmid & Maximilian Röglinger

  5. University of Applied Sciences Augsburg, Augsburg, Germany

    Laura Marcus

  6. FIM Research Center, Augsburg and Bayreuth, Germany

    Laura Marcus, Sebastian Schmid & Maximilian Röglinger

  7. Branch Business & Information Systems Engineering of the Fraunhofer FIT, Augsburg and Bayreuth, Germany

    Laura Marcus, Sebastian Schmid & Maximilian Röglinger

Authors
  1. Gregor Kipping
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  2. Djordje Djurica
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  3. Sandro Franzoi
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  4. Thomas Grisold
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  5. Laura Marcus
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  6. Sebastian Schmid
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  7. Jan vom Brocke
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  8. Jan Mendling
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  9. Maximilian Röglinger
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Corresponding author

Correspondence to Gregor Kipping .

Editor information

Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Claudio Di Ciccio

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. Universidad de Sevilla, Seville, Spain

    Adela del Río Ortega

  4. Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

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Kipping, G. et al. (2022). How to Leverage Process Mining in Organizations - Towards Process Mining Capabilities. In: Di Ciccio, C., Dijkman, R., del Río Ortega, A., Rinderle-Ma, S. (eds) Business Process Management. BPM 2022. Lecture Notes in Computer Science, vol 13420. Springer, Cham. https://doi.org/10.1007/978-3-031-16103-2_5

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  • DOI: https://doi.org/10.1007/978-3-031-16103-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16102-5

  • Online ISBN: 978-3-031-16103-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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