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  4. The biggest business process management problems to solve before we die
 
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The biggest business process management problems to solve before we die

Journal
Computers in Industry
ISSN
0166-3615
Type
journal article
Date Issued
2023-01
Author(s)
Beerepoot, Iris
Ciccio, Claudio Di
Reijers, Hajo A.
Rinderle-Ma, Stefanie
Bandara, Wasana
Burattin, Andrea
Calvanese, Diego
Chen, Tianwa
Cohen, Izack
Depaire, Benoît
Federico, Gemma Di
Dumas, Marlon
van Dun, Christopher
Fehrer, Tobias
Fischer, Dominik A.
Gal, Avigdor
Indulska, Marta
Isahagian, Vatche
Klinkmüller, Christopher
Kratsch, Wolfgang
Leopold, Henrik
Looy, Amy Van
Lopez, Hugo
Lukumbuzya, Sanja
Mendling, Jan
Meyers, Lara
Moder, Linda
Montali, Marco
Muthusamy, Vinod
Reichert, Manfred
Rizk, Yara
Rosemann, Michael
Röglinger, Maximilian
Sadiq, Shazia
Seiger, Ronny  
Slaats, Tijs
Simkus, Mantas
Someh, Ida Asadi
Weber, Barbara  
Weber, Ingo
Weske, Mathias
Zerbato, Francesca  
DOI
https://doi.org/10.1016/j.compind.2022.103837
Abstract
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.
Language
English
Keywords
Business process management
Grand challenges
Process mining
Business process redesign
Digital twins
Process modeling
HSG Classification
contribution to scientific community
HSG Profile Area
None
Refereed
Yes
Publisher
Elsevier
Volume
146
Pages
14
Official URL
https://www.sciencedirect.com/science/article/pii/S0166361522002330
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/107840
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

SCS - School of Compu...

Eprints ID
268518
File(s)
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Thumbnail Image

open.access

Name

1-s2.0-S0166361522002330-main.pdf

Size

3.65 MB

Format

Adobe PDF

Checksum (MD5)

c8075586a67309a46f465a42020e2ffc

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