发展商店品牌还是收取佣金:亚马逊的选择与质量决策

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Hui Xiong, Ying‐Ju Chen, Lu Hsiao
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引用次数: 0

摘要

亚马逊作为主要的在线零售商(平台)之一,与制造商签订批发合同,合作开发其商店品牌。同时,亚马逊为制造商提供市场,并在代理销售中为制造商提供服务。在本文中,我们建立了一个模型,研究当平台和制造商服务的消费者对质量的支付意愿不同,且平台可以根据批发合同决定质量时,平台和制造商对合作模式(即批发合同或代理销售)的选择及其质量决策。我们发现,当消费者足够同质时,平台和制造商更有可能在销售模式上保持一致偏好。此外,当佣金率相对较低时,双方可能都更倾向于代理销售。在这种情况下,制造商愿意在代理销售中提供高质量的产品。相反,当佣金率足够高时,他们只能通过选择批发合同来统一对销售模式的偏好。批发合同下的产品质量高于代理销售。最后,我们提供了三个扩展:平台决定佣金率、平台决定批发价和制造商之间的竞争。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a store brand or collecting a commission: Amazon's choice and quality decision
Amazon, as one of the dominant online retailers (platforms), cooperates with manufacturers under wholesale contract to develop its store brands. Simultaneously, Amazon offers manufacturers with a marketplace and serves manufacturers in the agency selling. In this paper, we build a model to investigate the platform's and the manufacturer's choices on the cooperation modes (i.e., wholesale contract or agency selling) and their quality decisions when they serve consumers with heterogeneous willingness to pay for quality and the platform can dictate the quality under the wholesale contract. We find that the platform and the manufacturer are more likely to align their preferences on selling modes when consumers are homogenous enough. Moreover, when the commission rate is relatively low, both of them may prefer the agency selling. In this case, the manufacturer is willing to offer high quality in the agency selling. In contrast, when the commission rate is sufficiently high, they can only align their preferences on selling modes by choosing the wholesale contract. The product quality under the wholesale contract is higher than that in the agency selling. Finally, we provide three extensions: the platform decides the commission rate, the platform decides the wholesale price and competition between manufacturers.
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来源期刊
Naval Research Logistics
Naval Research Logistics 管理科学-运筹学与管理科学
CiteScore
4.20
自引率
4.30%
发文量
47
审稿时长
8 months
期刊介绍: Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.
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