Through the Lens of Cognitive Functions and Contextual Factors—A Study of the Action Potentials of Artificial Intelligence in Business Process Management

Simon Meierhöfer () and Claudius-Merlin Dorner ()
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Simon Meierhöfer: Branch Business & Information Systems Engineering of the Fraunhofer FIT
Claudius-Merlin Dorner: Technical University of Munich

A chapter in Solutions and Technologies for Responsible Digitalization, 2025, pp 203-218 from Springer

Abstract: Abstract Artificial intelligence (AI) is currently one of the most prevalent technological breakthroughs. The nature of AI provides a multitude of action potentials in business process management (BPM). However, the diversity and complexity of underlying tools and methods of AI make it difficult for organizations to determine appropriate use cases in business processes, the central unit of BPM. At this point, organizations lack knowledge on how to conceptualize the use of AI in BPM. Against this background, we investigate the action potentials of individual cognitive functions of AI across different contextual factors of business processes by combining an online survey with an interview study by means of a mixed-methods approach. The results provide researchers and practitioners with a comprehensive overview of the action potentials of AI in BPM.

Keywords: Artificial intelligence; Business process management; Cognitive functions; Contextual factors (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80122-8_13

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DOI: 10.1007/978-3-031-80122-8_13

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