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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References
Augusto, A., et al.: Automated discovery of process models from event logs: review and benchmark. IEEE Trans. Knowl. Data Eng. 31(4), 686–705 (2019)
Galic, G., Wolf, M.: Global Process Mining Survey 2021: Delivering Value with Process Analytics - Adoption and Success Factors of Process Mining. Deloitte (2021). https://www2.deloitte.com/de/de/pages/finance/articles/global-process-mining-survey-2021.html. Accessed 6 June 2022
Grisold, T., Mendling, J., Otto, M., vom Brocke, J.: Adoption, use and management of process mining in practice. Bus. Process. Manag. J. 27(2), 369–387 (2021)
Grisold, T., et al.: Digital innovation and business process management: opportunities and challenges as perceived by practitioners. Commun. Assoc. Inf. Syst. 49, 556–571 (2021)
Grisold, T., Wurm, B., Mendling, J., vom Brocke, J.: Using process mining to support theorizing about change in organizations. In: Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). Maui, Hawaii (2020)
Mans, R.R., et al.: Business process mining success. In: Proceedings of the 21st European Conference on Information Systems (ECIS). Utrecht, Netherlands (2013)
Martin, N., et al.: Opportunities and challenges for process mining in organizations: results of a delphi study. Bus. Inf. Syst. Eng. 63(5), 511–527 (2021). https://doi.org/10.1007/s12599-021-00720-0
van der Aalst, W.M.P.: Process Mining - Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
van Eck, M.L., Lu, X., Leemans, S.J.J., van der Aalst, W.M.P.: PM2: a process mining project methodology. In: Proceedings of the 27th International Conference on Advanced Information Systems Engineering (CAiSE). Stockholm, Sweden (2015)
vom Brocke, J., Jans, M., Mendling, J., Reijers, H.A.: A five-level framework for research on process mining. Bus. Inf. Syst. Eng. 63(5), 483–490 (2021). https://doi.org/10.1007/s12599-021-00718-8
vom Brocke, J., et al.: Process science. the interdisciplinary study of continuous change. SSRN Electron. J. 1–9 (2021)
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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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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