Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes
Publication date
2024-09-02
Editors
Marrella, Andrea
Resinas, Manuel
Jans, Mieke
Rosemann, Michael
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
Abstract
Research in domains such as the car industry and banking has shown people’s acceptance of techno-empowerment, the phenomenon of entrusting technologies with autonomous decision making. An open question is whether process participants are inclined to transfer their decision-making autonomy to software that they are already familiar with yet is extended with AI capabilities. This paper reports on a study carried out to investigate this question by emulating the imminent organizational introduction of techno-empowered, AI-enhanced Robotic Process Automation (RPA). It involved 126 employees within four international companies residing in Poland that had already been routinely applying RPA for the automation of parts of their business processes. Our findings demonstrate the moderating role of (1) workplace perceptions and (2) gender on the effect that perceptions participants on currently used RPA software has on shaping their intentions to techno-empower an AI-enhanced RPA system. A follow-up study with managers within these companies shows that these insights are both new and actionable. As such, our findings help managers to improve their understanding of techno-empowerment dynamics, which is conducive to better predict employees’ reactions to techno-empowered RPA and to plan process change more effectively.
Keywords
autonomous artificial intelligence, digital transformation, hyperautomation, Robotic process automation, techno-empowerment, technology acceptance, Taverne, Theoretical Computer Science, General Computer Science
Citation
Modlinski, A, Kedziora, D, Hak, A, Motylewski, J, Kedziora, J, Reijers, H A & del-Río-Ortega, A 2024, Techno-empowerment of Process Automation : Understanding Employee Acceptance of Autonomous AI in Business Processes. in A Marrella, M Resinas, M Jans & M Rosemann (eds), Business Process Management - 22nd International Conference, BPM 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14940 LNCS, Springer, pp. 511-527, 22nd International Conference on Business Process Management, BPM 2024, Krakow, Poland, 1/09/24. https://doi.org/10.1007/978-3-031-70396-6_29, conference