Bridging the Gap

Abstract

This master’s thesis reviews the literature on Robotic Process Automation (RPA) and Process Mining (PM), exploring their development, integration, and impact on business process management. The analysis includes a detailed examination of the methodologies employed in RPA and PM, their operational synergies, and the resultant enhancements in process efficiency and data-driven decision-making in various industries. This study categorizes existing research into thematic areas, identifies current knowledge gaps, and suggests future research directions. Significantly, it highlights how the convergence of RPA and PM can provide strategic insights within organizations, augmenting processes that traditionally require intensive manual oversight. The findings indicate that the combined application of RPA and PM enhances operational efficiency and provides strategic insights that can lead to sustainable competitive advantages.