Rotman School of Management

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Ming Hu

Ming Hu

    Ming Hu

    PhD Coordinator in Operations Management
    Associate Professor of Operations Management

    Degrees: PhD, Columbia University
    MS, Columbia University
    MS, Brown University
    BS, Nanjing University
    Email: Send an email to Ming Hu
    Phone: 416-946-5207


    Ming Hu is an Associate Professor of Operations Management at Rotman. His research explores the interface between operations management and marketing, with a focus on analyzing strategic interactions among firms and between firms and consumers, in the context of revenue management, supply chain management and service management. His research topics include mechanism design, integration of inventory/capacity and pricing, price competition and modeling of consumer behaviour. Most recently, he studies operations management in the context of social buying, crowdfunding, crowdsourcing, and two-sided markets.

    Personal web site


    Selected Publications - Papers

    Honors and Awards

    2016  Wickham Skinner Early-Career Research Accomplishments Award; POMS
    2015  Roger Martin Excellence in Research Award; Rotman School of Management
    2015  Rotman School of Management Teaching Award; University of Toronto
    2015  Annual Conference Best Paper Award, First Prize; CSAMSE
    2014  Junior Faculty Interest Group (JFIG) Paper Competition Honorable Mention; INFORMS
    2013, 2014  M&SOM Meritorious Service Award; INFORMS
    2011, 2015  Management Science Meritorious Service Award; INFORMS
    2011  Connaught New Researcher Award; University of Toronto
    2009-2013  Excellence in Teaching Award; Rotman School of Management
    2009  Connaught Start-Up Award; University of Toronto
    2008-2010  Innovation Research Award; Hewlett-Packard Labs

    Professional Affiliations/Memberships

    INFORMS, Section of M&SOM and RM

    Research and Teaching Interests

    Pricing and Revenue Management, Supply Chain Management, Interface between Operations Management and Marketing, Social Operations Management  

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