Papers
14
Total Citations
291
H-Index
10
About
Damian Kedziora is a prominent researcher specializing in robotic process automation (RPA), intelligent automation, and digital business transformation, with a particular focus on enterprise adoption across Nordic and Central European contexts. His work has fundamentally advanced academic and practical understanding of how organizations deploy, govern, and derive value from software automation technologies. Kedziora's most influential contribution, a governance case study of Nordea Bank's RPA deployment (62 citations), has become a landmark teaching resource illuminating how large financial institutions manage automation at scale. His broader research portfolio explores the full lifecycle of RPA implementation — from investment appraisal methodologies and adoption drivers to the emerging integration of artificial intelligence, earning him over 270 cumulative citations across his top works. Notably, Kedziora has tackled underexplored dimensions of automation, including the phenomenon of "re-manualization" — when organizations roll back automated processes — and the application of RPA during the COVID-19 healthcare emergency in Finland. His 2023 work on integrating generative AI with RPA platforms reflects his commitment to charting the frontier of intelligent automation. Through rigorous empirical research and real-world case analysis, Kedziora has established himself as a vital voice bridging automation theory and organizational practice, making his work essential reading for researchers and practitioners navigating digital transformation.
Research Focus
Key Achievements
Top Papers
- 1Governance models for robotic process automation: The case of Nordea Bank62 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10