Please use this identifier to cite or link to this item: doi:10.22028/D291-46167
Title: Business Process Management and Artificial Intelligence : Literature Survey and Future Research
Author(s): Fettke, Peter
Di Francescomarino, Chiara
Language: English
Title: KI - Künstliche Intelligenz
Volume: 39
Issue: 2
Pages: 67-79
Publisher/Platform: Springer Nature
Year of Publication: 2025
Free key words: Business process
Machine learning
Robotic process automation
DDC notations: 330 Economics
Publikation type: Journal Article
Abstract: The field of Business Process Management (BPM) has several academic roots, in particular management science and informatics. In particular at the intersection of BPM and Artificial Intelligence (AI), a vibrant interdisciplinary field of research evolved. In this survey, we review prior work from three perspectives, namely, (a) from the perspective of BPM we focus on modeling, analysis, redesign, implementation, and monitoring of processes; (b) from the perspective of AI we focus on natural language processing, knowledge representation, automated reasoning, machine learning, computer vision, and robotics; (c) from the perspective of application domains we focus on domains such as process-aware information systems, manufacturing, and healthcare. Additionally, we discuss future research challenges and opportunities.
DOI of the first publication: 10.1007/s13218-025-00891-y
URL of the first publication: https://link.springer.com/article/10.1007/s13218-025-00891-y
Link to this record: urn:nbn:de:bsz:291--ds-461671
hdl:20.500.11880/40468
http://dx.doi.org/10.22028/D291-46167
ISSN: 1610-1987
0933-1875
Date of registration: 2-Sep-2025
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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