Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315703 
Year of Publication: 
2024
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 34 [Issue:] 1 [Article No.:] 56 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2024
Publisher: 
Springer, Berlin, Heidelberg
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.
Subjects: 
Intelligent process automation
Business process management
Robotic process automation
UTAUT
Technology adoption
JEL: 
C9
M15
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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