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From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

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Advanced Information Systems Engineering (CAiSE 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14663))

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Abstract

Process mining has been used to obtain insights into work processes in various industries. While there is plenty of evidence that process mining has helped a number of organizations to improve their processes, there are also a few studies indicating that it did not happen in other cases. An obvious yet frequently overlooked challenge in that context is that organizations actually need to take action based on the insights process mining tools and techniques provide. In practice, analysts typically use process mining insights to recommend actions, which then need to be performed and implemented, for example, by process owners or management. If, however, recommended actions are not performed, the insights will not help organizations to progress into process improvement either. Recognizing this, we use this paper to develop a better understanding of the extent to which recommended actions are actually performed, as well as the causes hampering the progress from recommended to performed actions. To this end, we combine a systematic literature review involving 57 papers with 17 semi-structured interviews of process mining experts. Based on our analysis, we discover specific causes why organizations do not perform recommended actions. These findings are crucial for both researchers and organizations to develop measures to anticipate and mitigate these causes.

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Acknowledgements

Part of this research was funded by NWO (Netherlands Organisation for Scientific Research) project number 16672.

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Authors and Affiliations

  1. Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Vinicius Stein Dani, Jan Martijn E. M. van der Werf, Iris Beerepoot & Hajo A. Reijers

  2. Kühne Logistics University, Großer Grasbrook 17, 20457, Hamburg, Germany

    Henrik Leopold

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  1. Vinicius Stein Dani
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Correspondence to Vinicius Stein Dani .

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Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  2. State University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil

    Flavia Santoro

  3. University of Essex, Colchester, UK

    Haralambos Mouratidis

  4. University of Haifa, Haifa, Israel

    Pnina Soffer

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Stein Dani, V., Leopold, H., van der Werf, J.M.E.M., Beerepoot, I., Reijers, H.A. (2024). From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives. In: Guizzardi, G., Santoro, F., Mouratidis, H., Soffer, P. (eds) Advanced Information Systems Engineering. CAiSE 2024. Lecture Notes in Computer Science, vol 14663. Springer, Cham. https://doi.org/10.1007/978-3-031-61057-8_22

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