IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v63y2021i5d10.1007_s12599-021-00720-0.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-021-00720-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-021-00720-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    3. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kristina Rosenthal & Benjamin Ternes & Stefan Strecker, 2021. "Business Process Simulation on Procedural Graphical Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 569-602, October.
    2. 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.
    3. Rong Liu & Akhil Kumar & Juhnyoung Lee, 2022. "Multi-level Team Assignment in Social Business Processes: An Algorithm and Simulation Study," Information Systems Frontiers, Springer, vol. 24(6), pages 1949-1969, December.
    4. Volodymyr Leno & Artem Polyvyanyy & Marlon Dumas & Marcello La Rosa & Fabrizio Maria Maggi, 2021. "Robotic Process Mining: Vision and Challenges," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(3), pages 301-314, June.
    5. Tomasz Helbin & Amy Van Looy, 2021. "Is Business Process Management (BPM) Ready for Ambidexterity? Conceptualization, Implementation Guidelines and Research Agenda," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    6. Meissner, Philip & Brands, Christian & Wulf, Torsten, 2017. "Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process," International Journal of Forecasting, Elsevier, vol. 33(1), pages 244-253.
    7. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    8. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    9. Petreski Marjan & Petreski Blagica & Tumanoska Despina & Narazani Edlira & Kazazi Fatush & Ognjanov Galjina & Jankovic Irena & Mustafa Arben & Kochovska Tereza, 2017. "The Size and Effects of Emigration and Remittances in the Western Balkans. A Forecasting Based on a Delphi Process," Südosteuropa. Journal of Politics and Society, De Gruyter, vol. 65(4), pages 679-695, December.
    10. Nibedita Mukherjee & Jean Huge & Farid Dahdouh-Guebas & Nico Koedam, 2014. "Ecosystem service valuations of mangrove ecosystems to inform decision making and future valuation exercises," ULB Institutional Repository 2013/217963, ULB -- Universite Libre de Bruxelles.
    11. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    13. Baillette, Paméla & Barlette, Yves & Leclercq-Vandelannoitte, Aurélie, 2018. "Bring your own device in organizations: Extending the reversed IT adoption logic to security paradoxes for CEOs and end users," International Journal of Information Management, Elsevier, vol. 43(C), pages 76-84.
    14. Roudgarmi, Pezhman & Mahdiraji, Mohammad Taghi Amoozadeh, 2020. "Current Challenges of Laws for Preservation of Forest and Rangeland, Iran," Land Use Policy, Elsevier, vol. 99(C).
    15. Martin Bichler & Armin Heinzl & Wil Aalst, 2016. "BISE and the Engineering Sciences," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(2), pages 105-106, April.
    16. Lingzhi Li & Jingfeng Yuan & Kathy O. Roper & Zhipeng Zhou, 2017. "A Multi-Stakeholder Delphi Study to Determine Key Space Management Components for Elderly Facilities in China," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    17. Evan Elderbrock & Chris Enright & Kathryn A. Lynch & Alexandra R. Rempel, 2020. "A Guide to Public Green Space Planning for Urban Ecosystem Services," Land, MDPI, vol. 9(10), pages 1-23, October.
    18. Adriana Luciano & Federica Pascale & Francesco Polverino & Alison Pooley, 2020. "Measuring Age-Friendly Housing: A Framework," Sustainability, MDPI, vol. 12(3), pages 1-35, January.
    19. Akartuna, Eray Arda & Johnson, Shane D. & Thornton, Amy, 2022. "Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    20. Christoph Markmann & Alexander Spickermann & Heiko A. von der Gracht & Alexander Brem, 2021. "Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:63:y:2021:i:5:d:10.1007_s12599-021-00720-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.