Prof. WANG Jianfu
王健夫教授
Associate Head (DAO)
Associate Professor
Associate Professor
PhD - Operations Management (Rotman School of Management, University of Toronto)
+852 34428349
Fax
+852 34420189
Office
LAU-7-283
Email
Personal Web
Research Areas
Gig Economy
Information Technology Operations
Service Operations
Queueing Economics
Biography
Jianfu (Jeff) Wang is an Associate Professor at the City University of Hong Kong's Department of Decision Analytics and Operations. Holding a Ph.D. from the Rotman School of Management at the University of Toronto, his research centers on queueing theory with applications in service operations, healthcare, and revenue management. Before joining City University, he was a faculty member at Nanyang Business School at Nanyang Technological University.
Administrative Assignments
| Period | Name | Position |
|---|---|---|
| 9/2024 - Now | Departmental Staffing Committee | Member |
| 11/2020 - 6/2024 | MScOSCM | Director |
Professional Activities
| Period | Client | Country / Region | Role |
|---|---|---|---|
| 2024 - Now | Service Science | - | Associate Editor |
Research Grant
PI: "Information Technology and Routing Policies in Open-shop Healthcare Systems", General Research Fund - The Hong Kong Research Grants Council, Amount: 283993 (2021-2023), Jianfu WANG
PI: "A Study of Food Delivery Services", Start-up Grant - City University of Hong Kong, Amount: 300000 (2020-2023), Jianfu WANG
PI: "Analysis and Design of On-demand Transport Service Platforms with Sharing Option", Tier 1 Grant - Nanyang Technological University, Amount: SGD48,135 (2017-2020), Jianfu Wang, Geoffrey Chua, Arvind Sainathan
PI: "The Practice of Strategic Idleness and Dynamic Scheduling in Service Operations Management", Start-up Grant - Nanyang Technological University, Amount: SGD80,000 (2014-2020), Jianfu Wang
Publications
Baron, Opher; Lu, Tianshu; Wang, Jianfu / Capacity Rationing in Multiserver, Nonpreemptive Priority Queues. July 2025; In: Manufacturing and Service Operations Management. Vol. 27, No. 4, pp. 1107-1125.
Chen, Manlu; Baron, Opher; Mandelbaum, Avishai; Wang, Jianfu; Yom-Tov, Galit B.; Arber, Nadir / Frontiers in Operations: Waiting Experience in Open-Shop Service Networks: Improvements via Flow Analytics and Automation. July 2024; In: Manufacturing and Service Operations Management. Vol. 26, No. 4, pp. 1211-1228
Wang, Jianfu; Chua, Geoffrey A.; Sainathan, Arvind; Vijayendiran, Akshay / Equilibrium queueing analysis in a ride-hailing service with sharing option. December 2023; In: Journal of the Operational Research Society. Vol. 74, No. 12, pp. 2473–2492
Chen, Manlu; Hu, Ming; Wang, Jianfu / Food Delivery Service and Restaurant: Friend or Foe?. September 2022; In: Management Science. Vol. 68, No. 9, pp. 6539–6551
Hu, Ming; Momot, Ruslan; Wang, Jianfu / Privacy Management in Service Systems. September 2022; In: Manufacturing and Service Operations Management. Vol. 24, No. 5, pp. 2761-2779
Wang, Jianfu; Hu, Ming / Efficient Inaccuracy: User-Generated Information Sharing in a Queue. October 2020; In: Management Science. Vol. 66, No. 10, pp. 4648–4666
Wang, Jianfu; Abouee-Mehrizi, Hossein; Baron, Opher; Berman, Oded / Tandem queues with impatient customers. November 2019; In: Performance Evaluation. Vol. 135
Hu, Ming; Li, Yang; Wang, Jianfu / Efficient Ignorance: Information Heterogeneity in a Queue. June 2018; In: Management Science. Vol. 64, No. 6, pp. 2650-2671
Baron, Opher; Berman, Oded; Krass, Dmitry; Wang, Jianfu / Strategic Idleness and Dynamic Scheduling in an Open-Shop Service Network: Case Study and Analysis. 2017; In: Manufacturing and Service Operations Management. Vol. 19, No. 1, pp. 52-71
Wang, Jianfu; Baron, Opher; Scheller-Wolf, Alan / M/M/c Queue with Two Priority Classes. May 2015; In: Operations Research. Vol. 63, No. 3, pp. 733-749
Baron, Opher; Berman, Oded; Krass, Dmitry; Wang, Jianfu / Using Strategic Idleness to Improve Customer Service Experience in Service Networks. January 2014; In: Operations Research. Vol. 62, No. 1, pp. 123-140
Zhang, Zhoupeng Jack; Hu, Ming; Wang, Jianfu / Implications of Worker Classification in On-Demand Economy. December 2022; City, Society, and Digital Transformation: Proceedings of the 2022 INFORMS International Conference on Service Science. pp. 407-423