Assistant Professor RSM - Rotterdam School of Management Department of Technology and Operations Management
- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- T09-46
- Telephone
- 0104082277
- q.kong@rsm.nl
More information
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Profile
Dr. Qingxia Kong is an assistant professor of Operations Management at Rotterdam School of Management, Erasmus University Rotterdam.
After completing her PhD at National University of Singapore, she worked as an assitant professor of Operations at Universidad Adolfo Ibanez, Santiago de Chile. She joined Erasmus University in 2016.
Kong's research interests are healthcare operations management and behavioural operations.
- Q. Kong, G.D. Granic, N.S. Lambert & C.P. Teo (2020). Judgment Error in Lottery Play: When the Hot-Hand Meets the Gambler's Fallacy. Management Science, 66 (2), 844-862. doi: 10.1287/mnsc.2018.3233 [go to publisher's site]
- Q. Kong, S. Li, N. Liu, C. Teo & Z. Yan (2020). Appointment Scheduling Under Time-Dependent Patient No-Show Behavior. Management Science. doi: 10.1287/mnsc.2019.3366
- Y. Liu, Q. Kong & E.W. de Bekker - Grob (2019). Public preferences for health care facilities in rural China: A discrete choice experiment. Social Science & Medicine, 237:112396. doi: 10.1016/j.socscimed.2019.112396
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2016). Appointment Sequencing: Why the Smallest-Variance-First Rule may Not Be Optimal. European Journal of Operational Research, 255 (3), 809-821. doi: 10.1016/j.ejor.2016.06.004
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2013). Scheduling Arrivals to a Stochastic Service Delivery System using Copositive Cones. Operations Research, 61 (3), 711-726. doi: 10.1287/opre.2013.1158 [go to publisher's site]
- M. Chou, Q. Kong, C.P. Teo & H. Zheng (2009). Benford's Law and Number Selection in Fixed-Odds Numbers. Journal of Gambling Studies, 25 (4), 503-521. doi: 10.1007/s10899-009-9145-9
- Q. Kong, G.D. Granic, N.S. Lambert & C.P. Teo (2020). Judgment Error in Lottery Play: When the Hot-Hand Meets the Gambler's Fallacy. Management Science, 66 (2), 844-862. doi: 10.1287/mnsc.2018.3233 [go to publisher's site]
- Q. Kong, S. Li, N. Liu, C. Teo & Z. Yan (2020). Appointment Scheduling Under Time-Dependent Patient No-Show Behavior. Management Science. doi: 10.1287/mnsc.2019.3366
- Y. Liu, Q. Kong & E.W. de Bekker - Grob (2019). Public preferences for health care facilities in rural China: A discrete choice experiment. Social Science & Medicine, 237:112396. doi: 10.1016/j.socscimed.2019.112396
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2016). Appointment Sequencing: Why the Smallest-Variance-First Rule may Not Be Optimal. European Journal of Operational Research, 255 (3), 809-821. doi: 10.1016/j.ejor.2016.06.004
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2013). Scheduling Arrivals to a Stochastic Service Delivery System using Copositive Cones. Operations Research, 61 (3), 711-726. doi: 10.1287/opre.2013.1158 [go to publisher's site]
- M. Chou, Q. Kong, C.P. Teo & H. Zheng (2009). Benford's Law and Number Selection in Fixed-Odds Numbers. Journal of Gambling Studies, 25 (4), 503-521. doi: 10.1007/s10899-009-9145-9
- Q. Kong, G.D. Granic, N.S. Lambert & C.P. Teo (2020). Judgment Error in Lottery Play: When the Hot-Hand Meets the Gambler's Fallacy. Management Science, 66 (2), 844-862. doi: 10.1287/mnsc.2018.3233 [go to publisher's site]
- Y. Liu, Q. Kong, S. Wang, L. Zhong & J.J. Van de Klundert (2020). The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China. Health Policy and Planning, 35 (3), 267-278. doi: 10.1093/heapol/czz159
- Q. Kong, S. Li, N. Liu, C. Teo & Z. Yan (2020). Appointment Scheduling Under Time-Dependent Patient No-Show Behavior. Management Science. doi: 10.1287/mnsc.2019.3366
- P. Liu, M.E. Schmidt, Q. Kong, J. Wagenaar, L. Yang & Z. Gao (2020). A Robust and Energy-Efficient Train Timetable for the Subway System. Transportation Research. Part C, Emerging Technologies, 121. doi: 10.1016/j.trc.2020.102822
- Y. Liu, Q. Kong & E.W. de Bekker - Grob (2019). Public preferences for health care facilities in rural China: A discrete choice experiment. Social Science & Medicine, 237:112396. doi: 10.1016/j.socscimed.2019.112396
- Y. Liu, Q. Kong, S. Yuan & J.J. van de Klundert (2018). Factors influencing choice of health system access level in China: A systematic review. PLoS One (online), 13 (8):e0201887. doi: 10.1371/journal.pone.0201887
- Q. Kong, S. Mondschein & A. Pereira (2018). Effectiveness of breast cancer screening policies in countries with medium-low incidence rates. Revista de Saude Publica, 52 (7). doi: 10.11606/S1518-8787.2018052000378
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2016). Appointment Sequencing: Why the Smallest-Variance-First Rule may Not Be Optimal. European Journal of Operational Research, 255 (3), 809-821. doi: 10.1016/j.ejor.2016.06.004
- Q. Kong, C.Y. Lee, C.P. Teo & Z.C. Zheng (2013). Scheduling Arrivals to a Stochastic Service Delivery System using Copositive Cones. Operations Research, 61 (3), 711-726. doi: 10.1287/opre.2013.1158 [go to publisher's site]
- M. Chou, Q. Kong, C.P. Teo & H. Zheng (2009). Benford's Law and Number Selection in Fixed-Odds Numbers. Journal of Gambling Studies, 25 (4), 503-521. doi: 10.1007/s10899-009-9145-9
- Q. Kong & Q. Lu (2006). Demand Model of Stochastic Customer Choice and Its Application in Inventory Control. Logistics Research, 7, 127-130.
- M. Chou, Q. Kong, C.P. Teo & H. Zheng (2015). Managing Risk in Numbers Games: Benford’s Law and the Small-Number Phenomenon. In Steven J. Miller (Ed.), Benford's Law: Theory and Applications. United State: Princeton University Press
IM Research clinic
- Title
- IM Research clinic
- Year
- 2020
- Year level
- master
Decision Science and Operations
- Title
- Decision Science and Operations
- Year
- 2020
- Year level
- master
IM Research clinic
- Title
- IM Research clinic
- Year
- 2020
- Year level
- master
Supply Chain Fundamentals
- Title
- Supply Chain Fundamentals
- Year
- 2020
- Year level
- master, IM/CEMS, Exchange, ERIM
Management Science
- Role
- Ad Hoc Reviewer
Operations Research
- Role
- Ad Hoc Reviewer
Production and Operations Management
- Role
- Ad Hoc Reviewer
IISE Transactions
- Role
- Ad Hoc Reviewer
International Journal of Production Research
- Role
- Ad Hoc Reviewer
Manufacturing and Service Operations Management
- Role
- Ad Hoc Reviewer
Assistant Professor
- University
- Erasmus University Rotterdam
- School
- RSM - Rotterdam School of Management
- Department
- Department of Technology and Operations Management
- Telephone
- 0104082277