Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35559
Title: Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study
Authors: MARTIN, Niels 
Fischer, Dominik A.
Kerpedzhiev, Georgi D.
Goel, Kanika
Leemans, Sander J. J.
Röglinger, Maximilian
van der Aalst, Wil M. P.
Dumas, Marlon
La Rosa, Marcello
Wynn, Moe T.
Issue Date: 2021
Publisher: SPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH
Source: Business & information systems engineering (Print),
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.
Keywords: Process mining;Opportunities;Challenges;Barriers;Delphi study;Process mining adoption;Process mining use;Business process management
Document URI: http://hdl.handle.net/1942/35559
ISSN: 2363-7005
e-ISSN: 1867-0202
DOI: 10.1007/s12599-021-00720-0
ISI #: 000706006100001
Rights: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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