有限批发定价下的需求信息共享

ERN: Search Pub Date : 2019-04-12 DOI:10.2139/ssrn.3370851
Tian Li, Hongtao Zhang
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引用次数: 2

摘要

现有的关于批发定价下供应链信息共享的研究通常假设制造商可以单方面设定任意批发价格,零售商在给定批发价格的情况下决定零售数量或价格。虽然这种模式在某些情况下可能实际上反映了相对的市场力量,但它错过了信息共享可能带来的某些双赢机会。当零售商共享的需求信息被制造商用来为自己的利益设定更有利的批发价格时,往往会加剧双重边缘化效应,对零售商乃至整个供应链都不利。预见到这种后果,零售商将谨慎地将信息保留在自己的经营范围内,并放弃与上游制造商共享信息可能带来的潜在改进。我们提出并分析了一种新的批发定价机制,该机制促进了相对较弱的零售商和较强的制造商之间的信息共享,从而使双方都受益。新机制的关键特征是在零售商做出信息共享决策之前增加了一个额外的交互阶段:制造商在一开始就主动提出一个上限,并承诺如果零售商同意共享信息,则不会将批发价格提高到这个上限之上。我们展示了为什么这种新机制可以成为单一供应链和竞争渠道的双赢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sharing Demand Information Under Bounded Wholesale Pricing
The extant research on supply chain information sharing under wholesale pricing often assumes a model where the manufacturer can unilaterally set any wholesale price, and the retailer decides retail quantity or price while taking the wholesale price as given. Whereas this model may actually reflect the relative market power in some situations, it misses out on certain win-win opportunities that could arise from information sharing. When the demand information shared by the retailer is used by the manufacturer to set a more advantageous wholesale price for its own benefit only, the double marginalization effect will often be exacerbated to the detriment of the retailer and even to the supply chain as a whole. Anticipating this consequence, the retailer will cautiously keep its information within its own realm of operations and forego the potential improvement that could result from sharing information with the upstream manufacturer. We propose and analyze a new wholesale pricing mechanism that promotes information sharing between a relatively weaker retailer and a more powerful manufacturer such that both parties become better off. The key feature of the new mechanism is an extra stage of interaction, which happens before the retailer's information sharing decision: at the very outset the manufacturer voluntarily proposes an upper bound and promises not to raise the wholesale price above this bound if the retailer agrees to share information. We show why this new mechanism can be a win-win for a single supply chain and for competing channels.
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