有履约服务的经销商还是市场:动态比较

Guokai Li, Ningyuan Chen, Guillermo Gallego, P. Gao, Steven Kou
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引用次数: 0

摘要

问题定义:我们考虑了不确定条件下双面经济的两种商业模式:经销商和提供履约服务的市场。尽管这两种商业模式都能弥补供需之间的差距,但并不清楚哪种模式对企业或消费者更有利。方法/结果:我们的研究表明,虽然两种模式在定价能力、库存风险、收费结构和履约时间上有很大不同,但两种模式都有几个重要的共同特点,即当市场较厚时,企业从两种模式中获得的收入趋同。我们还证明,对于密集型市场,它们相应的最优政策之间存在一一对应的映射关系。管理意义:我们的研究结果为进入双面市场的企业提供了指导:当市场较厚时,两种商业模式是相似的;当市场较薄时,企业在做出选择前应仔细考察一些市场条件。资助:李刚的研究得到国家自然科学基金[72150002, 72394361]和广东省人工智能数学基础重点实验室[2023B1212010001]的部分资助。N. Chen 的研究得到了加拿大自然科学与工程研究理事会发现项目[RGPIN-2020-04038]的部分资助。G. Gallego 的研究得到了香港合作研究基金 [Grant C6032-21G] 的部分资助。P. Gao 的研究得到了国家自然科学基金[资助号:72201234,72192805]、香港合作研究基金[资助号:C6032-21G]和广东省人工智能数学基础重点实验室[资助号:2023B1212010001]的支持。补充材料:在线补充材料可在 https://doi.org/10.1287/msom.2022.0253 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dealership or Marketplace with Fulfillment Services: A Dynamic Comparison
Problem definition: We consider two business models for a two-sided economy under uncertainty: dealership and marketplace with fulfillment services. Although both business models can bridge the gap between demand and supply, it is not clear which model is better for the firm or for the consumers. Methodology/results: We show that, whereas the two models differ substantially in pricing power, inventory risk, fee structure, and fulfillment time, both models share several important features with the revenues earned by the firm from the two models converging when the markets are thick. We also show that, for thick markets, there is a one-to-one mapping between their corresponding optimal policies. Managerial implications: Our results provide guidelines for firms entering two-sided markets: when the market is thick, the two business models are similar; when the market is thin, they should carefully inspect a number of market conditions before making the choice. Funding: The research of G. Li is partially supported by the National Natural Science Foundation of China [Grants 72150002, 72394361] and the Guangdong Provincial Key Laboratory of Mathematical Foundations for Artificial Intelligence [Grant 2023B1212010001]. The research of N. Chen is partially supported by the Natural Sciences and Engineering Research Council of Canada Discovery [Grant RGPIN-2020-04038]. The research of G. Gallego is partially supported by Collaborative Research Funding Hong Kong [Grant C6032-21G]. The research of P. Gao is supported by the National Natural Science Foundation of China [Grants 72201234, 72192805], Collaborative Research Funding Hong Kong [Grant C6032-21G], and the Guangdong Provincial Key Laboratory of Mathematical Foundations for Artificial Intelligence [Grant 2023B1212010001]. Supplemental Material: The online supplement is available at https://doi.org/10.1287/msom.2022.0253 .
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