Guangwen Kong
Statistics, Operations, and Data Science
Associate Professor


Guangwen Kong received her Ph.D. degree in Operations Management from the University of Southern California in 2013. Her research studies emerging problems in sharing or on-demand platforms, service management and supply chain management using models, experiments, and data analysis, with a focus on behavior, incentive, and their implications to policies and operational decisions. She has published her papers in leading journals such as Management Science, Manufacturing &Service Operations Management, and Production and Operations Management.

Her research has been recognized by many research awards, including MSOM Service Management SIG Best Award (Winner, 2021), POMS HOCM (Humanitarian Operations and Crisis Management) Best Paper Award (Runner-Up, 2021), Post-Pandemic Supply Chain and Healthcare Management Best Paper Award (Winner, 2021), DSI Best Problem-Driven Analytical Research Paper Award (Winner, 2021), Department of MSCM Research Award (2020, 2021), Young Scholars Interdisciplinary Research Award (2020), CSAMSE Best Paper Award (Third Prize 2019, Honorable Mention 2017), ISCOM Best Paper Award (First Prize, 2019), INFORMS Service Science Cluster Best Paper Award (Finalist, 2018), INFORMS Service Science Cluster Student Best Paper Award (Finalist, Jingxuan Geng, 2020), POMS Supply Chain Management Best Student Paper Award (Finalist, 2013), POMS HK Best Student Paper Award (Finalist, Xiang Li, 2016), POMS CBOM (College of Behavioral Operations Management) Junior Scholar Award (Finalist, 2018) and The NET Institute Summer Grant Award (2018). She is an editorial review board member of Production and Operations Management and has served as an NSF panelist in 2014. She received the M&SOM Meritorious Service Award (2018, 2019, 2020) and Management Science Meritorious Service Award (2018, 2019).

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