Qiaowen Guo
Ph.D. in Supply Chain, Operations, and Technology
Ph.D. in Supply Chain, Operations, and Technology
Welcome to my webpage!
I am a Ph.D. candidate in Supply Chain, Operations, and Technology at Olin business school, Washington University in St. Louis. I am co-advised by Professor Fuqiang Zhang and Professor Xiang Hui. My research explores the intersection of Empirical Operations Management, Artificial Intelligence Applications, and Platform Service Operations, with a focus on integrating new technology tools into service environments. I am currently on the 2025–2026 job market. I welcome conversations about research, teaching, and collaboration opportunities.
My research examines how technology reshapes service operations, with a particular focus on algorithmic control, AI applications, and incentive design. Current projects include:
Gig vs. traditional customer support through large-scale field experiments
Agent behavior and incentive alignment under algorithmic compensation schemes
Generative AI’s integration in e-commerce dispute resolution
From 2022 to 2023, I took a full-time industry leave to work on-site at Alibaba as a Research Scientist. I collaborated on field experiments and provided research-based insights that directly shaped multiple chapters of my dissertation.
Upcoming Talks
[1] “Gig vs. Traditional Customer Support: Balancing Efficiency and Consumer Experience.” (Job Market Paper)
MSOM Conference — June 2025, London, UK (Scheduled).
Purdue SCOM Conference — August 22 - 24, Purdue, IN (Scheduled).
INFORMS Annual Meeting, Job Market Showcase Cluster — October 2025, Atlanta, GA (Scheduled)
Recent Talks
[1] “Gig vs. Traditional Customer Support: Balancing Efficiency and Consumer Experience.” (Job Market Paper)
POMS Annual Meeting — May 12, 2025, 9:45 - 11:15 AM, Atlanta, GA.
[2] “Mitigating Moral Hazard in E-Commerce Refund Disputes: Contract Design and Generative AI Applications.”
POMS Annual Meeting — May 10, 2025, 9:45 - 11:15 AM, Atlanta, GA.