Abstract
This study explores the procedure of Robotic Process Automation (RPA) process selection by investigating practical criteria for identifying suitable business processes for automation. Employing a mixed-method approach guided by critical realism philosophy and action research strategy, the research draws on historical developments of RPA and Process Mining (PM), uncovers their connection and synergy. Based on extensive desk research and real company data five main criteria were defined such as execution time, stability, process complexity, data type and failure rate. These criteria are crucial in evaluating processes for automation and contribute to a more systematic approach in RPA implementation. This way companies can be more accurate in their predictions of financial and operational return, and improve their decision-making model. The study underscores the significance of well-defined criteria in achieving successful RPA integration within various business processes. In conclusion, the aim is to build a foundation for improving business and decision-making efficiency as well as for further development in this field of knowledge.
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Lyukevich, I.N., Melikyan, A.V., Sokolova, I.P. (2023). RPA and Choosing Business Processes for Automation. In: Bencsik, A., Kulachinskaya, A. (eds) Digital Transformation: What is the Company of Today?. Lecture Notes in Networks and Systems, vol 805. Springer, Cham. https://doi.org/10.1007/978-3-031-46594-9_11
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