Kejia Hu

Short CV

Dr. Kejia Hu is an Associate Professor in Management Science at the Saïd Business School, University of Oxford, and a Governing Body Fellow of Exeter College. She previously served as an Assistant Professor at Vanderbilt University, where she was awarded the Brownlee O. Currey Jr. Dean's Faculty Fellow. Dr. Hu earned her PhD in Operations Management from Northwestern University in 2017 and her MS in Statistics from the University of California, Davis in 2013, following a BS in Statistics from Fudan University in 2011. Her research focuses on unlocking business value through human-AI collaboration, emphasizing the role of human insight alongside technology. Her work has been recognized in top academic journals and has earned multiple awards, including the Poets and Quants "40 Under 40" list in 2023. She also serves as a Senior Editor for Production and Operations Management and sits on the editorial board of the Journal of Operations Management. Additionally, she holds leadership roles in POMS and INFORMS and has collaborated with Fortune 500 companies and industry leaders.

Selected Awards

• 2023, QUIS 2023, Rising Star Award for Research Excellence in Service Management
• 2023, Poets and Quants, Best 40 under 40 Professors
• 2022, Management Science Distinguished Service Award
• 2022, Vanderbilt Research Productivity Award
• 2020, Management Science Distinguished Service Award
• 2019, M&SOM Meritorious Service Award

Research Interests

Service system design, forecasting, human-algorithm interaction

Selected Publications

• Hu, Kejia, & Karacaoglu, Nil. (2024). WeStore or AppStore: How customers shop differently in mobile apps vs. social commerce. Production and Operations Management, https://doi.org/10.1177/10591478231224921
   
• Swink, Morgan, Hu, Kejia, & Zhao, Xiande. (2022). Analytics applications, limitations, and opportunities in restaurant supply chains. Production and Operations Management, 31(10), https://doi.org/10.1111/poms.13704
   
• Kong, Lu, Hu, Kejia, & Verma, Rohit. (2022). Service chains’ operational strategies: Standardization or customization? Evidence from the nursing home industry. Manufacturing & Service Operations Management, 24(3), https://doi.org/10.1287/msom.2022.1111
   
• Kong, Lu, Hu, Kejia, & Walsman, Matthew. (2021). Caring for an aging population in a post-pandemic world: Emerging trends in the U.S. older adult care industry. Service Science, 13(4), https://doi.org/10.1287/serv.2021.0280
   
• Hu, Kejia, Chopra, Sunil, & Chen, Yuche. (2021). The effect of tightening standards on automakers’ non-compliance. Production and Operations Management, 30(9), https://doi.org/10.1111/poms.13419
   
• Hu, Kejia, Allon, Gad, & Bassamboo, Achal. (2021). Understanding customer retrials in call centers: Preferences for service quality and service speed. Manufacturing and Service Operations Management, 23(4), https://doi.org/10.1287/msom.2021.0976
   
• Kabadayi, Sertan, Hu, Kejia, Lee, Yuna, Hanks, Lydia, Walsman, Matthew, & Dobrzykowski, David. (2020). Fostering older adult care experiences to maximize well-being outcomes. Journal of Service Management, 31(5), http://doi.org/10.1108/josm-11-2019-0346
   
• Hu, Kejia, & Chen, Yuche. (2019). Equilibrium fuel supply and carbon credit pricing under market competition and environmental regulations: A California case study. Applied Energy, 235, http://doi.org/10.1016/j.apenergy.2018.12.041
   
• Acimovic, Jason, Erize, Francisco, Hu, Kejia, Thomas, Douglas J., & Van Mieghem, Jan A. (2019). Product life cycle data set: Raw and cleaned data of weekly orders for personal computers. Manufacturing & Service Operations Management, 21(1), http://doi.org/10.1287/msom.2017.0692