Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes

Publication date

2024-09-02

Authors

Modlinski, Artur
Kedziora, Damian
Hak, Andrzej
Motylewski, Jaroslaw
Kedziora, Joanna
Reijers, Hajo A.ORCID 0000-0001-9634-5852ISNI 0000000037238136
del-Río-Ortega, Adela

Editors

Marrella, Andrea
Resinas, Manuel
Jans, Mieke
Rosemann, Michael

Advisors

Supervisors

Document Type

Part of book
Open Access logo

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