Franz Seubert

Papers

Total Citations

H-Index

About

Franz Seubert is a leading researcher in the field of Robotic Process Automation (RPA), with a sharp focus on the critical early phases of automation project lifecycles. His work centers on process selection and the strategic decision-making that determines whether RPA initiatives succeed or fail. Seubert’s most-cited paper, "Process selection for RPA projects" (2021), tackles the root cause of the staggering 80% failure rate in RPA implementations: poor process identification and selection. By highlighting how inaccurate qualitative analysis leads to flawed decisions, he provides a foundational framework for improving project outcomes. Though his citation count is still growing, his research addresses a pressing, high-stakes problem in enterprise automation, making his contributions highly relevant for practitioners and scholars alike. Seubert’s work is essential reading for anyone seeking to bridge the gap between automation theory and real-world application, offering actionable insights to reduce risk and enhance the success of digital transformation efforts.