The Informational Role of Buyback Contracts

库存(枪支) 业务 订单(交换) 失真(音乐) 产品(数学) 微观经济学 经济 产业组织 货币经济学 财务 计算机科学 机械工程 放大器 计算机网络 几何学 数学 带宽(计算) 工程类
作者
Shouqiang Wang,Haresh Gurnani,Upender Subramanian
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:67 (1): 279-296 被引量:29
标识
DOI:10.1287/mnsc.2019.3552
摘要

Manufacturers often offer retailers buyback contracts to reduce retailers’ inventory costs by repurchasing unsold inventory at a prespecified returns price. We examine the signaling role of buyback contracts when the retailer is less informed about either the manufacturer’s reliability of honoring the buyback commitment (e.g., for a small/less-established manufacturer) or its product’s market potential (e.g., for a national brand manufacturer). We find that these two situations yield contrasting buyback designs: the manufacturer must distort the wholesale and returns prices downward to signal higher reliability, but upward to signal higher market potential. Nevertheless, the signaling mechanism in both cases hinges on suitably distorting the manufacturer’s returns cost (i.e., the cost of repurchasing a retailer’s unsold inventory) by influencing the retailer’s regular stock (i.e., the portion of inventory carried to meet average demand) and safety stock (i.e., the extra inventory carried to meet potential high demand). Notably, although prior research has highlighted the signaling role of the wholesale price, we show how and why, in a channel with inventory, the returns price plays a relatively more important role. In particular, efficient signaling entails that the returns price is used to distort the manufacturer’s returns cost, whereas the wholesale price is used only to mitigate the resulting distortion in the retailer’s order quantity. In fact, the returns price emerges as a more efficient signaling instrument and reverses the direction of wholesale price distortion from what is necessary if wholesale price alone is used to signal. We also examine the implications when the two dimensions of manufacturer’s private information are correlated. This paper was accepted by Juanjuan Zhang, marketing.

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