Arthur H. M. ter Hofstede

Papers

Total Citations

548

H-Index

About

Arthur H. M. ter Hofstede is a distinguished researcher whose work sits at the intersection of Robotic Process Automation (RPA) and process mining, two rapidly evolving fields reshaping how organizations automate and analyze their business processes. His scholarship has made significant strides in understanding how software robots can be deployed intelligently within enterprise environments, while simultaneously leveraging the rich log data they generate to drive deeper process insights. His most influential contribution, "Robotic Process Automation: Contemporary themes and challenges" (2019), has accumulated an impressive 520 citations, establishing him as a leading authority in the field and providing researchers and practitioners alike with a foundational framework for understanding RPA's scope and limitations. Building on this foundation, ter Hofstede pioneered the concept of bot log mining — a novel methodology that bridges RPA execution logs with process mining techniques to enable integrated, data-driven process analysis. His subsequent work on resource-based adaptive RPA further advances the field by exploring how automation systems can dynamically respond to resource constraints. Through a focused and coherent research agenda, ter Hofstede has helped establish the theoretical and practical groundwork for intelligent process automation, making his work essential reading for anyone studying modern business process management.