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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