Still doing it yourself? Investigating determinants for the adoption of intelligent process automation

Alexander Mayr (), Philip Stahmann (), Maximilian Nebel () and Christian Janiesch ()
Additional contact information
Alexander Mayr: Paxray GmbH
Philip Stahmann: TU Dortmund University
Maximilian Nebel: TU Dortmund University
Christian Janiesch: TU Dortmund University

Electronic Markets, 2024, vol. 34, issue 1, No 56, 22 pages

Abstract: Abstract Intelligent process automation (IPA) augments symbolic process automation using artificial intelligence. Emulating human decision-making, IPA enables the execution of complex processes requiring decision-making capacities. IPA promises great economic potential as it enables more efficient use of the human workforce. However, the adoption rate in practice falls behind these potentials. Our study aims to investigate reasons and identify areas for action towards IPA adoption. To this end, we identified 13 determinants and created an extended UTAUT model. We tested the model with partial least squares structural equation modeling for significant influential relationships between the determinants based on a user study. We contribute to theory and practice finding a special role of trust and transparency for the adoption of IPA. Likewise, we show that organizations should cultivate a positive attitude towards IPA diffusion. Further, our results contribute with a focus on the potential adopters as IPA adoption is contingent upon their characteristics, such as experience and job level.

Keywords: Intelligent process automation; Business process management; Robotic process automation; UTAUT; Technology adoption (search for similar items in EconPapers)
JEL-codes: C9 M15 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12525-024-00737-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:elmark:v:34:y:2024:i:1:d:10.1007_s12525-024-00737-9

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/12525

DOI: 10.1007/s12525-024-00737-9

Access Statistics for this article

Electronic Markets is currently edited by Rainer Alt and Hans-Dieter Zimmermann

More articles in Electronic Markets from Springer, IIM University of St. Gallen
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().