Assistant Professor
Operations & IT Management
About
Luyi Yang is an assistant professor in the Operations and Information Technology Management Group at the University of California, Berkeley’s Haas School of Business. His research interests include service operations, digital marketplaces, sustainability, and operations-marketing interface.
Prior to joining Berkeley Haas, he was an assistant professor of operations management and business analytics at Johns Hopkins University’s Carey Business School. He received his PhD and MBA from the University of Chicago, Booth School of Business, and his BS in Industrial Engineering and BA in English, both from Tsinghua University.
Expertise and Research Interests
- Service Operations
- Digital Marketplace
- Sustainability
- Economics of Queues
- Business Model Innovation
- Operations-marketing Interface
- Yang, L., Wang, Z., & Cui, S.. A Model of Queue Scalping. Management Science.
2021 - Yang, L.. Invite Your Friend and You’ll Move Up in Line: Optimal Design of Referral Priority Programs. Manufacturing & Service Operations Management.
2021 - Cui, S., Wang, Z., & Yang, L.. The Economics of Line-Sitting. Management Science.
2020 - Yang, L., Debo, L., & Gupta, V.. Search Among Queues Under Quality Differentiation. Management Science.
2019 - Yang, L., & Debo, L.. Referral Priority Program: Leveraging Social Ties via Operational Incentives. Management Science.
2019 - Yang, L., Debo, L., & Gupta, V.. Trading Time in a Congested Environment. Management Science.
2017
At Haas since 2020
2020-present, Assistant Professor, Haas School of Business
2017-2020, Assistant Professor, Johns Hopkins University, Carey Business School
2021 INFORMS Service Science Best Cluster Paper Award
2021
2020 M&SOM Service Management SIG Best Paper Award, Winner
Recognizes the best published papers on service management
INFORMS Minority Issues Forum (MIF) Paper Competition, Winner
2020
INFORMS Junior Faculty Interest Group Paper Competition, Honorable Mention
2019
INFORMS Service Science Best Paper Award Competition, Finalist
2019
Management Science Distinguished Service Award
2019
INFORMS Service Science Section Best Cluster Paper Award, Finalist
2018
INFORMS IBM Service Science Section Best Student Paper Award, Third Place
2015
CSAMSE/Columbia Business Initiative Best Paper Award, Third Place
2015
INFORMS RAS Problem Solving Competition, First Place
2012
Research Fund Award
Black & Decker
2020
Summer Research Grant
NET Institute
2019
- Study: Testing policies should vary based on demand to catch the most COVID-19 cases, Medical News, 01/12/2021
- Those seeds from China: how a likely marketing tool fed conspiracy fears in the US, South China Morning Post, 10/11/2020
- How to use people in line as sales agents, Post Online Media, 01/22/2018
- As VIP online waiting lists gain in popularity, study finds potential pitfalls, Johns Hopkins University, 01/10/2018
- Why attempts to cut medical wait times can backfire, Chicago Booth Review, 03/03/2016
- What’s Your Approach To Your Queuing Experience?, Forbes, 02/28/2016
- UGBA 104, Introduction to Business Analytics
- MBA 247.11, Descriptive and Predictive Data Mining
