A Structured Method for the Selection of Business Processes Suitable for Robotic Process Automation

Abstract

As companies increasingly adopt software applications to improve business efficiency, often digitization gaps arise when legacy systems fail to integrate with new applications. These gaps often result in redundant task execution across incompatible systems. Robotic Process Automation (RPA) emerges as a solution by automating such tasks. However, selecting the right processes that will be subjected to RPA is crucial to avoid failures and resource waste. Therefore, this paper introduces a four-stage method to evaluate processes for RPA suitability, grounded on the Analytic Hierarchy Process (AHP). By systematically analyzing scientific literature and incorporating weights from RPA experts, this paper sheds light on the complex nature of process selection criteria for RPA. Tested in a company, the method facilitates the process selection, indicating its practical applicability.

Keywords: Analytic Hierarchy Process (AHP), Evaluation Method, MCDM, Robotic Process Automation (RPA), Selection Criteria, Systematic Literature Review (SLR)

DOI: 10.54941/ahfe1005524