Axel Winkelmann
Papers
3
Total Citations
129
H-Index
3
About
Axel Winkelmann is a prominent researcher specializing in robotic process automation (RPA) and business process management, with a particular focus on bridging the gap between emerging automation technologies and their practical organizational implementation. His most celebrated contribution is the development of a consolidated framework for implementing RPA projects, a work that has garnered over 85 citations and stands as a foundational reference for both academics and practitioners navigating this rapidly evolving field. Winkelmann's research addresses a critical challenge in digital transformation: how organizations can effectively automate digital yet manually executed tasks by leveraging RPA's lightweight, presentation-layer approach to imitating human behavior. Beyond framework development, his work extends into the strategic domain of process selection, highlighting that poor decision-making in this early phase contributes to the staggering 80% failure rate observed in RPA initiatives. By combining rigorous analytical methods with actionable guidance, Winkelmann has meaningfully shaped how enterprises approach automation projects. His cumulative citation record reflects a growing scholarly and industry recognition of his expertise, making his research essential reading for anyone seeking to understand the successful design and execution of RPA initiatives in modern organizations.
Research Focus
Key Achievements
Top Papers
- 1A framework for implementing robotic process automation projects85 citations · 2022
- 2
- 34 Process selection for RPA projects4 citations · 2021