Moe Thandar Wynn
Papers
6
Total Citations
570
H-Index
4
About
Moe Thandar Wynn is a prominent researcher whose work sits at the intersection of Robotic Process Automation (RPA) and process mining, fields that are rapidly transforming how organizations automate and analyze their workflows. She has established herself as a leading voice in RPA research, most notably through her highly influential 2019 paper "Robotic Process Automation: Contemporary themes and challenges," which has accumulated an impressive 520 citations and is widely regarded as a seminal work in the field. This publication helped define the research landscape for RPA, identifying key challenges that continue to shape scholarly inquiry today. Wynn's contributions extend beyond foundational surveys — she has pioneered the integration of RPA with process mining through her innovative "bot log mining" approach, enabling organizations to extract meaningful process insights directly from automation logs. Her work also critically examines the human dimensions of automation, exploring user trust in bots and the risk of organizational process knowledge loss as RPA adoption grows. Through her evolving body of research, including a comprehensive 2024 state-of-the-art review, Wynn continues to bridge technical innovation with practical and organizational concerns, making her an essential reference for students and practitioners navigating the future of intelligent process automation.
Research Focus
Key Achievements
Top Papers
- 1Robotic Process Automation: Contemporary themes and challenges520 citations · 2019
- 2How to Trust a Bot: An RPA User Perspective22 citations · 2020
- 3
- 4Is RPA Causing Process Knowledge Loss? Insights from RPA Experts6 citations · 2023
- 5
- 6Robotic process automation: a review of the state-of-the-art2 citations · 2024