Abstract
The article presents the results of research into the identification of key factors influencing decisions on the implementation of Robotic Process Automation (RPA) in enterprises. The study uses the theoretical framework of Davis' Technology Acceptance Model (TAM) and its modifications which apply to the study of acceptance of new technologies. The study results indicate a direct impact of the following variables: Perceived Ease of Use and Perceived Usefulness on Behavioural Intention. They also confirm that the Perceived Usefulness variable is statistically significantly influenced by the Social Influence, Price Value, and Process Adequacy variables. For the Perceived Ease of Use variable, a statistically significant effect of the User Involvement and Facilitating Conditions variables was presented, and no statistically significant effect of the Implementation Method variable was demonstrated. The obtained results contribute to reducing the indicated research gap concerning the identification of factors that are very important for the implementation of RPA.
Paper Type
Short Paper
DOI
10.62036/ISD.2025.108
Key Factors Determining Decisions on the Implementation of Robotic Process Automation
The article presents the results of research into the identification of key factors influencing decisions on the implementation of Robotic Process Automation (RPA) in enterprises. The study uses the theoretical framework of Davis' Technology Acceptance Model (TAM) and its modifications which apply to the study of acceptance of new technologies. The study results indicate a direct impact of the following variables: Perceived Ease of Use and Perceived Usefulness on Behavioural Intention. They also confirm that the Perceived Usefulness variable is statistically significantly influenced by the Social Influence, Price Value, and Process Adequacy variables. For the Perceived Ease of Use variable, a statistically significant effect of the User Involvement and Facilitating Conditions variables was presented, and no statistically significant effect of the Implementation Method variable was demonstrated. The obtained results contribute to reducing the indicated research gap concerning the identification of factors that are very important for the implementation of RPA.
Recommended Citation
Kozak, P., Chojnacka-Pelowska, E., Schulze, M., Robalo, R. & Makowska, E. (2025). Key Factors Determining Decisions on the Implementation of Robotic Process AutomationIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.108