Pricing in the presence of strategic consumers

供应链管理力求使供需不匹配最小化。这一目标不断受到不断变化的环境、风险和不确定性的挑战。许多加拿大企业，如旅游和酒店行业的企业，从事多期竞争性动态定价，其中需求模型起着重要作用。这些动态定价决策是通过收入管理机制来实施的，通常要求频繁的价格更新。收入管理算法的一个结果是价格波动，它会以学术文献尚未研究的方式影响消费者的购买和时机决策。拟议的研究将收集主要来自航空业的丰富数据集，以分析和增强我们对价格波动或收入管理商品存在的新兴权衡的认识。从实证分析中产生的见解将作为分析博弈论多时期动态规划模型的基础，更现实地捕捉需求：传统的收入管理模型将被重新设计和扩展，以纳入不同程度的竞争强度和战略性消费者行为的价格波动的影响，以确定价格更新的最佳水平及其幅度。

Supply chain management strives to minimize supply-demand mismatch. This objective is constantly challenged by changing environments, risks, and uncertainties. Many Canadian businesses, such as those in the travel and hospitality industries, engage in multi-period competitive dynamic pricing, where demand modelling plays a major role. These dynamic pricing decisions are operationalized through revenue management mechanisms, often commanding frequent price updates. An outcome of revenue management algorithms is price volatility, which can influence consumers’ purchase and timing decisions in ways that have not been studied yet by the academic literature. The proposed research will assemble rich datasets, primarily from the airline industry, to analyze and enhance our knowledge on the emerging trade-offs in the presence of price volatility or revenue managed goods. Insights generated from the empirical analysis will serve as the foundation for analytical game-theoretical multi-period dynamic programming models, capturing demand more realistically: traditional revenue management models will be redesigned and extended to incorporate the effects of price volatility for varying degrees of competition intensity and strategic consumer behaviour to identify optimal levels of price updates and their magnitudes.