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

Author

Listed:
  • Alexander Mayr

    (Paxray GmbH)

  • Philip Stahmann

    (TU Dortmund University)

  • Maximilian Nebel

    (TU Dortmund University)

  • Christian Janiesch

    (TU Dortmund University)

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.

Suggested Citation

  • Alexander Mayr & Philip Stahmann & Maximilian Nebel & Christian Janiesch, 2024. "Still doing it yourself? Investigating determinants for the adoption of intelligent process automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-22, December.
    • Handle: RePEc:spr:elmark:v:34:y:2024:i:1:d:10.1007_s12525-024-00737-9
    DOI: 10.1007/s12525-024-00737-9
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    More about this item

    Keywords

    Intelligent process automation; Business process management; Robotic process automation; UTAUT; Technology adoption;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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