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

Artur Modlinski*, Damian Kedziora, Andrzej Hak, Jaroslaw Motylewski, Joanna Kedziora, Hajo A. Reijers, Adela del-Río-Ortega

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationBusiness Process Management - 22nd International Conference, BPM 2024, Proceedings
EditorsAndrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann
PublisherSpringer
Pages511-527
Number of pages17
ISBN (Print)9783031703959
DOIs
Publication statusPublished - 2 Sept 2024
Event22nd International Conference on Business Process Management, BPM 2024 - Krakow, Poland
Duration: 1 Sept 20246 Sept 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14940 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Business Process Management, BPM 2024
Country/TerritoryPoland
CityKrakow
Period1/09/246/09/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • autonomous artificial intelligence
  • digital transformation
  • hyperautomation
  • Robotic process automation
  • techno-empowerment
  • technology acceptance

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