The biggest business process management problems to solve before we die

Beerepoot, Iris, Di Ciccio, Claudio, , Rinderle-Ma, Stefanie, , Burattin, Andrea, Calvanese, Diego, Chen, Tianwa, Cohen, Izack, Depaire, Benoît, Di Federico, Gemma, Dumas, Marlon, van Dun, Christopher, Fehrer, Tobias, Fischer, Dominik A., Gal, Avigdor, Indulska, Marta, Isahagian, Vatche, Klinkmüller, Christopher, Kratsch, Wolfgang, Leopold, Henrik, Van Looy, Amy, Lopez, Hugo, Lukumbuzya, Sanja, Mendling, Jan, Meyers, Lara, Moder, Linda, Montali, Marco, Muthusamy, Vinod, Reichert, Manfred, Rizk, Yara, , , Sadiq, Shazia, Seiger, Ronny, Slaats, Tijs, Simkus, Mantas, Someh, Ida Asadi, Weber, Barbara, Weber, Ingo, Weske, Mathias, & Zerbato, Francesca (2023) The biggest business process management problems to solve before we die. Computers in Industry, 146, Article number: 103837.

Open access copy at publisher website

Description

It may be tempting for researchers to stick to incremental extensions of their current work to plan future research activities. Yet there is also merit in realizing the grand challenges in one's field. This paper presents an overview of the nine major research problems for the Business Process Management discipline. These challenges have been collected by an open call to the community, discussed and refined in a workshop setting, and described here in detail, including a motivation why these problems are worth investigating. This overview may serve the purpose of inspiring both novice and advanced scholars who are interested in the radical new ideas for the analysis, design, and management of work processes using information technology.

Impact and interest:

40 citations in Scopus
5 citations in Web of Science®
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ID Code: 240020
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Bandara, Wasanaorcid.org/0000-0003-2785-7859
Rosemann, Michaelorcid.org/0000-0003-3303-2896
Measurements or Duration: 14 pages
Keywords: Business process management, Business process redesign, Digital twins, Grand challenges, Process mining, Process modeling
DOI: 10.1016/j.compind.2022.103837
ISSN: 0166-3615
Pure ID: 134105849
Divisions: Current > Research Centres > Centre for Future Enterprise
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > Schools > School of Management
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Information Systems
Copyright Owner: 2022 The Author(s)
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 02 Jun 2023 04:26
Last Modified: 26 Jul 2024 16:50

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