Improving Process Mining Maturity – From Intentions to Actions
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DOI: 10.1007/s12599-024-00882-7
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- Tobias Mettler, 2010. "Thinking in Terms of Design Decisions When Developing Maturity Models," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 1(4), pages 76-87, October.
- Nicholas Berente & Kalle Lyytinen & Youngjin Yoo & John Leslie King, 2016. "Routines as Shock Absorbers During Organizational Transformation: Integration, Control, and NASA’s Enterprise Information System," Organization Science, INFORMS, vol. 27(3), pages 551-572, June.
- 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.
- Trkman, Peter, 2010. "The critical success factors of business process management," International Journal of Information Management, Elsevier, vol. 30(2), pages 125-134.
- Abayomi Baiyere & Hannu Salmela & Tommi Tapanainen, 2020. "Digital transformation and the new logics of business process management," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(3), pages 238-259, May.
- Julia Eggers & Andreas Hein & Markus Böhm & Helmut Krcmar, 2021. "No Longer Out of Sight, No Longer Out of Mind? How Organizations Engage with Process Mining-Induced Transparency to Achieve Increased Process Awareness," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 491-510, October.
- 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.
- Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
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Keywords
Process mining; Business process management; Process dynamics; Process mining capabilities; Maturity model;All these keywords.
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