Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model
研究企业如何利用动态捆绑策略影响需求以匹配运营状态，分析了库存动态对捆绑策略的影响以及捆绑策略如何反作用于库存决策，并刻画了最优捆绑决策与产品互补性、成本结构、库存水平等因素的关系。
In today’s digital age with advanced information technology and analytic tools, such as the internet and data mining, many companies use dynamic bundling to influence demand to match up with the operational status, especially in industries with short product life cycles. In “Demand Shaping through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model,” Jing-Sheng Song and Zhengliang Xue present a novel dynamic model to analyze how exactly the inventory dynamics impact the bundling strategy and, in turn, how the bundling strategy affects the firm's inventory decisions. They also characterize how the optimal bundling decision depends on item complementarity, cost structure, inventory levels, demand uncertainty, and supply responsiveness.