Incorporating consumer perspectives into pricing of perishable services

提出的研究通过在博弈论框架下研究零售商的定价决策和消费者的购买决策来模拟零售商和消费者之间的互动。传统的动态定价文献假设消费者是被动的，而本文的研究内化了消费者在动态定价、有限视野、竞争环境下的决策。在一种情况下，将利用最大一致集的概念来搜索可能稳定的状态集，而在另一种情况下，将探索混合定价策略。使用这些方法将带来未来价格的不确定性，因为消费者和零售商将不知道哪些可能的结果会实现。因此，将分析消费者决策对价格和零售商利润的影响，并探索缓解战略消费者行为的途径。

The proposed research models interactions between retailers and consumers by investigating pricing decisions by retailers and purchase decision making by consumers in game-theoretical frameworks. While traditional dynamic pricing literature assumes passive consumers, the proposed research endogenizes consumers' decision making in dynamic pricing, finite horizon, competitive settings. In one setting, the largest consistent set concept will be utilized to search for the set of possibly-stable states, and in another, mixed pricing strategies will be explored. Using these approaches will introduce uncertainty about future prices, as consumers and retailers will not know which of the possible outcomes will be realized. Thus, the impact of consumer decision making on prices and retailers' profits will be analyzed, and the approaches to mitigate strategic consumer behavior will be explored.