Daniel Toll
Papers
4
Total Citations
28
H-Index
3
About
Daniel Toll is an emerging scholar whose research sits at the intersection of public administration and digital transformation, with a particular focus on Robotic Process Automation (RPA) in local government contexts. Based primarily in Sweden, Toll has carved out a distinctive niche investigating how municipalities navigate the complex realities of automation adoption — a topic of growing relevance as public sector organizations worldwide seek efficiency through technology. His most cited work, "Organizing for Robotic Process Automation in Local Government" (2022, 12 citations), offers rare empirical insight through case studies of Swedish municipalities, illuminating the organizational challenges that accompany RPA implementation. Complementing this, his paper "Why is it Difficult to Implement Robotic Process Automation?" (2022, 11 citations) directly confronts the gap between automation's promise and its practical delivery. Notably, Toll has consistently questioned vendor narratives, as seen in his thought-provoking piece "What is this 'RPA' they are selling?" — challenging the mismatch between how RPA is marketed and how it actually performs. Collectively, Toll's work provides practitioners and policymakers with grounded, critical guidance on automation adoption, making him a valuable voice for public sector organizations wrestling with digital transformation decisions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Why is it Difficult to Implement Robotic Process Automation?11 citations · 2022
- 3
- 4What is this 'RPA' they are selling?2 citations · 2020