Dr Kejia Hu
Associate Professor of Management Science, Saïd Business School
Dr Kejia Hu is an Associate Professor of Management Science at Saïd Business School and a Governing Body Fellow of Exeter College. She is a leading expert on human–AI interaction and data-driven decision-making, focusing on how organisations can use artificial intelligence to create real business value, beyond automation and efficiency gains.
About
Dr Kejia Hu is an Associate Professor of Management Science at Saïd Business School, University of Oxford, and a Fellow of Exeter College. Her research and advisory work focus on how organisations can successfully integrate artificial intelligence into decision-making, operations and service systems through effective human–AI collaboration.
As Founding Director of the Oxford Human–Algorithm Interaction Lab, Dr Hu works at the intersection of AI, business and society. Her research uses real-world data, field studies and interdisciplinary methods to examine how algorithms shape decisions, work practices and organisational performance.
She collaborates closely with computer scientists, engineers and applied mathematicians, and maintains long-term partnerships with Fortune 500 and publicly listed firms across healthcare, manufacturing, technology and professional services. In these collaborations, she advises executive teams on AI strategy, adoption and organisational change.
Dr Hu is also Programme Co-Director of Oxford’s Diploma in AI for Business, where she works with global executives on practical, applied approaches to AI-enabled transformation. She holds senior leadership roles in the academic community, including Chair of the INFORMS Service Science Section and editorial roles with leading journals such as Production and Operations Management, Journal of Operations Management, Decision Sciences and Omega. Her work is widely recognised for bridging rigorous research with real-world impact, and she is a frequent speaker and advisor to organisations seeking to deploy AI responsibly, strategically and at scale.
Expertise
- Human–AI Interaction and Human-Centred AI
- AI Strategy and Organisational Transformation
- Data-Driven Decision-Making and Analytics
- AI-Enabled Service Systems and Operations
- Executive Decision-Making Under Uncertainty
- AI Adoption, Governance and Responsible Innovation
- Algorithmic Decision Systems and Workforce Design
- Digital Transformation and Business Model Innovation
- Empirical Operations Management (Field Data, Experiments, Causal Inference)
- AI in Healthcare, Manufacturing and Professional Services
Selected publications
- Editorial: Building trust in the digital economy, Hu, K., Li, X. and Xu, J. (2026)
- Supplier Selection Criteria Under Heterogeneous Sourcing Needs: Evidence From an Online Marketplace for Selling Production Capacity, Lu, K., Jia, Z. and Hu, K. (2024)
- Delegation with Technology Migration: An Empirical Analysis of Mobile Virtual Network Operators, Hu, K., Zou, F., Dong, Y. and Venkataraman, S. (2024)
- WeStore or AppStore: How Customers Shop Differently in Mobile Apps vs. Social Commerce, Hu, K. and Karacaoglu, N. (2024)
- Reproducibility in Management Science, Hu, K., Fišar, M., Greiner, B., Huber, C., Katok, E., Ozkes, A (2023)
- Service Chains’ Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry, Hu, K., Kong, L. and Verma, R. (2022)
- Analytics applications, limitations, and opportunities in restaurant supply chains, Hu, K., Zhao, X. and Swink, M. (2022)
- The Effect of Tightening Standards on Automakers’ Non-compliance, Hu, K., Chopra, S. and Chen, Y. (2021)
- Understanding Customer Retrials in Call Centers: Preferences for Service Quality and Service Speed, Hu, K., Allon, G. and Bassamboo, A. (2021)
- Forecasting New Product Life Cycle Curves: Practical Approach and Empirical Analysis, Hu, K., Acimovic, J., Erize, F., Thomas, D.J. and Van Mieghem, J.A. (2018)
Languages
English, Chinese