Inventory Competition Under Dynamic Consumer Choice
Operations Research
Centralized and Competitive Inventory Models with Demand Substitution
Operations Research
Positive vs. Negative Externalities in Inventory Management: Implications for Supply Chain Design
Manufacturing & Service Operations Management
Revenue Management Games: Horizontal and Vertical Competition
Management Science
Mathematical Programming: Series A and B
Competitive Multi-period Pricing for Perishable Products: A Robust Optimization Approach
Mathematical Programming: Series A and B
Expected Value of Distribution Information for the Newsvendor Problem
Operations Research
Regret in the Newsvendor Model with Partial Information
Operations Research
Optimal inventory policy for the fuzzy newsboy problem with quantity discounts
Information Sciences: an International Journal
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We generalize analysis of competition among newsvendors to a setting in which competitors possess asymmetric information about future demand realizations, and this information is limited to knowledge of the support of demand distribution. In such a setting, traditional expectation-based optimization criteria are not adequate, and therefore we focus on the alternative criterion used in the robust optimization literature: the absolute regret minimization. We show existence and derive closed-form expressions for the robust optimization Nash equilibrium solution for a game with an arbitrary number of players. This solution allows us to gain insight into the nature of robust asymmetric newsvendor competition. We show that the competitive solution in the presence of information asymmetry is an intuitive extension of the robust solution for the monopolistic newsvendor problem, which allows us to distill the impact of both competition and information asymmetry. In addition, we show that, contrary to the intuition, a competing newsvendor does not necessarily benefit from having better information about its own demand distribution than its competitor has.