Abstract
Process automation is a crucial strategy for improving business processes, but little attention has been paid to the effects that automation has once it is operational. This paper addresses this research problem by reviewing the literature on human-automation interaction. Although many of the studies in this field have been conducted in different domains, they provide a foundation for developing propositions about process automation effects. Our analysis focuses on how humans perceive automation technology when working within a process, allowing us to propose an effective engagement model between technology, process participants, process managers, and software developers. This paper offers insights and recommendations that can help organizations optimize their use of process automation. We further derive novel research questions for a discourse within the process automation community.
Original language | English |
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Title of host publication | Business Process Management Forum |
Subtitle of host publication | BPM 2023 Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings |
Editors | Chiara Di Francescomarino, Andrea Burattin, Christian Janiesch, Shazia Sadiq |
Place of Publication | Cham |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 285-301 |
Number of pages | 17 |
Edition | 1st |
ISBN (Electronic) | 9783031416231 |
ISBN (Print) | 9783031416224, 9783031416248 |
DOIs | |
Publication status | Published - 1 Sept 2023 |
Event | Proceedings of the 21st International Conference on Business Process Management, BPM 2023 - Utrecht, Netherlands Duration: 11 Sept 2023 → 15 Sept 2023 |
Publication series
Series | Lecture Notes in Business Information Processing |
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Volume | 490 LNBIP |
ISSN | 1865-1348 |
Conference
Conference | Proceedings of the 21st International Conference on Business Process Management, BPM 2023 |
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Country/Territory | Netherlands |
City | Utrecht |
Period | 11/09/23 → 15/09/23 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- BPMS
- Business process management
- Human Factors
- Process automation
- Robotic process automation
- Workflow systems