Ruxian Wang

Ruxian Wang, PhD

Associate Professor
Academic AreaOperations Management & Business Analytics
Academic AreaInnovation & Entrepreneurship
Areas of InterestOperations Management, Data Analytics, Revenue Management and Pricing

Ruxian Wang is currently an associate professor in the research track at Johns Hopkins Carey Business School. Before returning to academia, he worked in Hewlett-Packard Company for several years as a research scientist. His research and teaching interests include revenue management and pricing, discrete choice models, data-driven decision making, assortment planning, operations management, and supply chain management. 

    Education

    • Ph. D, Operations Research, Columbia University
    • M.Phil., Operations Research, Columbia University
    • MS, Applied Mathematics, Nanjing University
    • BS, Applied Mathematics, Nanjing University

    Research

    Selected publications

    • Wang, R. 2020. “Consumer Choice and Market Expansion: Modeling, Optimization and Estimation," Operations Research, forthcoming
    • Wang, R. 2020. “What Is the Impact of Non-Randomness on Random Choice Models?" Manufacturing & Service Operations Management, forthcoming
    • Wang, R. 2020. “The Threshold Effects on Consumer Choice and Pricing Decisions," Manufacturing & Service Operations Management, forthcoming
    • Wang, R., M. Dada, O. Sahin. 2019. "Pricing Ancillary Service Subscriptions," Management Science, 65 (10) 4712 – 4732
    • Wang, R. 2018. "When Prospect Theory Meets Consumer Choice Models: Assortment and Pricing Management with Reference Prices," Manufacturing & Service Operations Management, 20 (3) 583 – 600
    • Wang, R., O. Sahin. 2018. "The Impact of Consumer Search Cost on Assortment Planning and Pricing," Management Science, 64 (8) 3649 – 3666
    • Wang, R., Z. Wang. 2017. "Consumer Choice Models with Endogenous Network Effects," Management Science, 63 (11) 3944 – 3960
    • Gallego, G., R. Wang. 2014. "Multi-Product Price Optimization and Competition under the Nested Logit Model with Product-Differentiated Price Sensitivities," Operations Research, 62 (2) 450 – 461

    Teaching

    Current

    • Data Anayltics

    Previous

    • Operations Management

    Honors and distinctions

    • Senior Editor for the Production and Operations Management (POM) Journal, 2019 –
    • Secretary/Treasurer of the INFORMS Revenue Management & Pricing (RM&P), 2020 – 2021
    • Outstanding Service Award, the Production and Operations Management Society, 2019
    • Teaching Innovation Fund Award, Johns Hopkins Carey Business School, 2018
    • Management Science Meritorious Service Award, 2017, 2018, 2020
    • M&SOM Meritorious Service Award, 2016, 2018
    • Dean’s Award for Faculty Excellence, Johns Hopkins Carey Business School, 2016, 2017, 2018, 2019, 2020
    • The Black & Decker Research Fund, Johns Hopkins Carey Business School, 2014, 2017
    • Practice Award of the INFORMS Revenue Management and Pricing Section, 2012