Selling formats and platform information sharing under manufacturer competition

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Xue Li, Shilu Tong, Xiaoqiang Cai, Jian Chen
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引用次数: 0

Abstract

Online retail platforms have increasingly utilized big data technologies to gather demand information, which is then shared with upstream manufacturers employing various selling modes, including a hybrid format that encompasses both direct and indirect selling. Previous studies have suggested that platforms should refrain from sharing demand information with manufacturers engaged in indirect selling. In this study, we present a game‐theoretic model to examine the factors influencing the online platform's decision to share information with an indirect selling manufacturer and under what conditions. Our initial analysis, considering exogenous selling formats in the base model, reveals that the platform's information sharing behavior is primarily influenced by selling format structures, commission fee rates, and competition intensity. The platform always has an incentive to share information with direct selling manufacturers; however, under a hybrid selling format, information sharing with indirect selling manufacturers may occur, particularly when both the commission fee rate and competition intensity are relatively high. We extend our investigation to explore the platform's optimal format‐dependent information sharing behavior, accounting for manufacturers' endogenous selling format decisions, and demonstrate the robustness of our main findings from the base model. Overall, our research offers valuable insights and guidelines to assist online platforms in making informed decisions about their information sharing practices.
制造商竞争下的销售形式和平台信息共享
在线零售平台越来越多地利用大数据技术收集需求信息,然后与采用各种销售模式(包括包含直接销售和间接销售的混合模式)的上游制造商共享这些信息。以往的研究表明,平台应避免与从事间接销售的制造商共享需求信息。在本研究中,我们提出了一个博弈论模型,研究影响在线平台决定与间接销售制造商共享信息的因素,以及在什么条件下共享信息。我们在基础模型中考虑了外生销售形式,初步分析表明,平台的信息共享行为主要受销售形式结构、佣金费率和竞争强度的影响。平台总是有动机与直销制造商共享信息;然而,在混合销售形式下,平台可能会与间接销售制造商共享信息,尤其是当佣金费率和竞争强度都相对较高时。我们扩展了研究范围,探讨了平台依赖于销售形式的最优信息共享行为,考虑了制造商的内生销售形式决策,并证明了我们从基础模型中得出的主要结论的稳健性。总之,我们的研究提供了有价值的见解和指导,有助于在线平台就其信息共享行为做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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