dr. Q. (Cynthia Qingxia ) Kong

Cynthia Qingxia  Kong
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2016

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. 

Publications

  • Academic (11)
    • Kong, C., Li, S., Liu, N., Teo, C., & Yan, Z. (2020). Appointment Scheduling Under Time-Dependent Patient No-Show Behavior. Management Science, 66(8), 3480-3500. https://doi.org/10.1287/mnsc.2019.3366

    • Liu, P., Schmidt, M., Kong, C., Wagenaar, J., Yang, L., & Gao, Z. (2020). A Robust and Energy-Efficient Train Timetable for the Subway System. Transportation Research. Part C, Emerging Technologies, 121, [102822]. https://doi.org/10.1016/j.trc.2020.102822

    • Liu, Y., Kong, C., Wang, S., Zhong, L. L., & Van de Klundert, JJ. (2019). 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. [czz159]. https://doi.org/10.1093/heapol/czz159

    • Kong, C., Granic, G., Lambert, NS., & Teo, CP. C-P. (2019). Judgment Error in Lottery Play: When the Hot-Hand Meets the Gambler's Fallacy. Management Science, 66(2), 844-862. https://doi.org/10.1287/mnsc.2018.3233

    • Liu, Y., Kong, C., & Grob, E. (2019). Public preferences for health care facilities in rural China: A discrete choice experiment. Social Science & Medicine, 237, [112396]. https://doi.org/10.1016/j.socscimed.2019.112396

    • Liu, Y., Kong, C., Yuan, S. S., & Klundert, J. (2018). Factors influencing choice of health system access level in China: A systematic review. PLoS One (online), 13(8), [e0201887]. https://doi.org/10.1371/journal.pone.0201887

    • Kong, C., Mondschein, S., & Pereira, A. (2018). Effectiveness of breast cancer screening policies in countries with medium-low incidence rates. Revista de Saude Publica, 52(7). https://doi.org/10.11606/S1518-8787.2018052000378

    • Kong, C., Lee, CY., Teo, CP. C-P., & Zheng, ZC. (2016). Appointment Sequencing: Why the Smallest-Variance-First Rule may Not Be Optimal. European Journal of Operational Research, 255(3), 809-821. https://doi.org/10.1016/j.ejor.2016.06.004

    • Kong, C., Lee, CY., Teo, CP. C-P., & Zheng, ZC. (2013). Scheduling Arrivals to a Stochastic Service Delivery System using Copositive Cones. Operations Research, 61(3), 711-726. https://doi.org/10.1287/opre.2013.1158

    • Chou, M., Kong, C., Teo, CP. C-P., & Zheng, H. (2009). Benford's Law and Number Selection in Fixed-Odds Numbers. Journal of Gambling Studies, 25(4), 503-521. https://doi.org/10.1007/s10899-009-9145-9

    • Kong, C., & Lu, Q. (2006). Demand Model of Stochastic Customer Choice and Its Application in Inventory Control. Logistics Research, 7, 127-130.

  • Academic (1)
    • Chou, M., Kong, C., Teo, CP. C-P., & Zheng, H. (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 Princeton University Press.

*Please note that this is a Taiwan EUR Scholarship project. For more information on the scholarship programme, please visit the website of the Ministry of Education (MOE) of Taiwan (https://www.scholarship.moe.gov.tw/top100).*

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more

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