Daniel Toll

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. 1
   Organizing for Robotic Process Automation in Local Government: Observations from Two Case Studies of Robotic Process Automation Implementation in Swedish Municipalities

   12 citations · 2022
2. 2
   Why is it Difficult to Implement Robotic Process Automation?

   11 citations · 2022
3. 3
   AUTOMATION AS MIGRATION? – IDENTIFYING FACTORS INFLUENCING ADOPTION OF RPA IN LOCAL GOVERNMENT

   3 citations · 2021
4. 4
   What is this 'RPA' they are selling?

   2 citations · 2020

Key Collaborators

Contact & Links