Jonas Wanner

University of Würzburg

Papers

2

Total Citations

37

H-Index

2

About

Jonas Wanner is a researcher specializing in Robotic Process Automation (RPA) and intelligent process automation, with a particular focus on the critical challenge of process selection in RPA implementation projects. His work addresses one of the most pressing practical problems in enterprise automation: identifying which business processes are genuinely suited for automation and developing rigorous, quantifiable frameworks to support that decision-making. Wanner's most notable contribution, "Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making" (2019), has garnered 33 citations and represents a significant step toward replacing ad hoc, qualitative assessments with structured, measurable evaluation criteria. Recognizing that studies indicate up to 80% of RPA projects fail due to poor process selection decisions, his research directly targets the root causes of this high failure rate. His subsequent work in 2021 further elaborated on these frameworks, reinforcing the importance of decision quality in the early stages of automation initiatives. Wanner's research sits at the intersection of business process management, digital transformation strategy, and enterprise IT, making it highly relevant for organizations navigating the complexities of automation adoption. His contributions offer both academics and practitioners actionable guidance for improving RPA project outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
37
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making
33 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Würzburg

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago