Rating Risks in Robotic Process Automation (RPA) Projects: An Expert Assessment Using an Impact-Uncontrollability Matrix

Abstract

This research paper explores the risks associated with Robotic Process Automation (RPA) projects, with a focus on the impact of disregarding key factors that affect project success. While previous studies have identified challenges and success factors for RPA projects, there is a lack of research that systematically and quantitatively evaluates these factors. To address this gap, the study uses a two-dimensional matrix to rate the impact and controllability of such risks associated with key factors in RPA projects, with data collected from 20 subject matter experts. The findings suggest that project managers should pay close attention to RPA development and process management. The high controllability ratings imply that proper planning and execution can effectively manage the identified risks. The study offers valuable insights into risk assessment for RPA projects and can assist project managers in increasing project success rates.