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Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

Author

Listed:
  • Niels Martin

    (Hasselt University
    Research Foundation Flanders (FWO))

  • Dominik A. Fischer

    (University of Bayreuth)

  • Georgi D. Kerpedzhiev

    (University of Augsburg)

  • Kanika Goel

    (Queensland University of Technology)

  • Sander J. J. Leemans

    (Queensland University of Technology)

  • Maximilian Röglinger

    (University of Bayreuth)

  • Wil M. P. van der Aalst

    (RWTH Aachen University)

  • Marlon Dumas

    (University of Tartu)

  • Marcello La Rosa

    (University of Melbourne)

  • Moe T. Wynn

    (Queensland University of Technology)

Abstract

Process mining is an active research domain and has been applied to understand and improve business processes. While significant research has been conducted on the development and improvement of algorithms, evidence on the application of process mining in organizations has been far more limited. In particular, there is limited understanding of the opportunities and challenges of using process mining in organizations. Such an understanding has the potential to guide research by highlighting barriers for process mining adoption and, thus, can contribute to successful process mining initiatives in practice. In this respect, the paper provides a holistic view of opportunities and challenges for process mining in organizations identified in a Delphi study with 40 international experts from academia and industry. Besides proposing a set of 30 opportunities and 32 challenges, the paper conveys insights into the comparative relevance of individual items, as well as differences in the perceived relevance between academics and practitioners. Therefore, the study contributes to the future development of process mining, both as a research field and regarding its application in organizations.

Suggested Citation

  • Niels Martin & Dominik A. Fischer & Georgi D. Kerpedzhiev & Kanika Goel & Sander J. J. Leemans & Maximilian Röglinger & Wil M. P. van der Aalst & Marlon Dumas & Marcello La Rosa & Moe T. Wynn, 2021. "Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 511-527, October.
    • Handle: RePEc:spr:binfse:v:63:y:2021:i:5:d:10.1007_s12599-021-00720-0
    DOI: 10.1007/s12599-021-00720-0
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    References listed on IDEAS

    as
    1. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    2. Georgi Dimov Kerpedzhiev & Ulrich Matthias König & Maximilian Röglinger & Michael Rosemann, 2021. "An Exploration into Future Business Process Management Capabilities in View of Digitalization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 83-96, April.
    3. Jörg Becker & Jan Brocke & Marcel Heddier & Stefan Seidel, 2015. "In Search of Information Systems (Grand) Challenges," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(6), pages 377-390, December.
    4. Ulrich Matthias König & Alexander Linhart & Maximilian Röglinger, 2019. "Why do business processes deviate? Results from a Delphi study," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 425-453, December.
    5. von der Gracht, Heiko A., 2012. "Consensus measurement in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1525-1536.
    6. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    7. A. Van Looy & M. De Backer & G. Poels, 2011. "A theoretical framework and classification of capability areas for business process maturity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/743, Ghent University, Faculty of Economics and Business Administration.
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