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Opportunities and Challenges for Process Mining in Organizations : Results of a Delphi Study

Title data

Martin, Niels ; Fischer, Dominik Andreas ; Kerpedzhiev, Georgi ; Goel, Kanika ; Leemans, Sander J. J. ; Röglinger, Maximilian ; van der Aalst, Wil ; Dumas, Marlon ; La Rosa, Marcello:
Opportunities and Challenges for Process Mining in Organizations : Results of a Delphi Study.
In: Business & Information Systems Engineering. Vol. 63 (2021) Issue 5 . - pp. 511-527.
ISSN 1867-0202
DOI: https://doi.org/10.1007/s12599-021-00720-0

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Wertorientiertes Prozessmanagement
No information

Abstract in another language

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 organisations has been far more limited. In particular, there is limited understanding of the opportunities and challenges of using Process Mining in organisations. 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, this paper provides a holistic view of opportunities and challenges for Process Mining in organisations 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 organisations.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Process Mining; Opportunities; Challenges; Barriers; Delphi Study; Process Mining Adoption; Process Mining Use; Business Process Management
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 08 Sep 2021 09:05
Last Modified: 09 Dec 2022 11:00
URI: https://eref.uni-bayreuth.de/id/eprint/66968