Pricing in the presence of strategic consumers

在战略消费者面前定价

• 批准号: RGPIN-2015-06322
• 负责人: Mantin, Binyamin
• 金额: $ 1.46万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590986
• 关键词: Pricing; presence; strategic; consumers

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.

供应链管理致力于将供需错配降至最低。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，如旅游和酒店业的企业，采用多阶段竞争性动态定价，其中需求建模起着重要作用。这些动态的定价决策是通过收入管理机制实现的，通常需要频繁的价格更新。收入管理算法的一个结果是价格波动，它可以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。拟议的研究将汇集丰富的数据集，主要来自航空业，以分析和增强我们对存在价格波动或收入管理商品时正在出现的权衡的了解。实证分析产生的见解将作为分析博弈论多阶段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进行重新设计和扩展，以纳入不同程度竞争强度和战略消费者行为的价格波动影响，以确定价格更新的最佳水平和幅度。