Research on the Conditions and Operational Strategies of the Retailer's Participation in Omnichannel Returns Cooperation

IF 2.5 3区 经济学 Q2 ECONOMICS
Yanyan Zheng, Jin Zhang, Tieshan Wang, Nengmin Wang
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引用次数: 0

Abstract

In the context of online retailing, many e-commerce platforms have begun to explore omnichannel returns cooperation modes that are practical and satisfy consumers' offline channel preferences in response to the rising online return rate and the growth of consumer preference for returning products to physical stores. The purpose of this paper is to investigate what conditions the offline retailer will choose to participate in an omnichannel returns cooperation strategy and how the cooperation brings value to both sides of the alliance. Based on the consideration of consumers' differentiated purchase and return modes and whether the retailer participates in omnichannel returns cooperation, this paper first derives the consumer utility functions for the buy online and return online (BORO) mode, the buy offline and return offline (BS) mode, and the buy online and return in store (BORS) mode before and after the omnichannel returns cooperation. This paper then constructs profit expressions for an online e-commerce platform and offline retailer before and after omnichannel returns cooperation and further explores the conditions and value of the offline retailer's willingness to participate in omnichannel returns cooperation. According to the study, the following interesting and important conclusions have been drawn. First, the participation of the offline brick-and-mortar retailer in an omnichannel returns strategy can introduce a new channel, which can help facilitate the integration of online and offline channels. Second, when the proportion of the online-type consumer is low, the larger the critical point of composite return cross-selling benefit required by the offline brick-and-mortar retailer, the lower the equilibrium price caused by their participation in omnichannel returns cooperation. Third, when the proportion of online-type consumer exceeds a certain threshold and the online return cost of consumers is less than the offline return cost can the brick-and-mortar retailer enhance the return service experience to attract consumers and thus further increase profits. In the analyses of retail operations, these findings can offer guidance for the implementation of omnichannel returns and the development of appropriate operational plans for the physical business. The conclusions can provide directional suggestions for brick-and-mortar retailers to conduct omnichannel return practices and help formulate reasonable strategies for new retail operations.

零售商参与全渠道退货合作的条件及运营策略研究
在线上零售的背景下,针对线上退货率的上升和消费者对实体店退货偏好的增长,许多电商平台开始探索实用且满足消费者线下渠道偏好的全渠道退货合作模式。本文的目的是探讨线下零售商在什么条件下会选择参与全渠道退货合作战略,以及这种合作如何为联盟双方带来价值。在考虑消费者不同的购买和退货方式以及零售商是否参与全渠道退货合作的基础上,本文首先推导了全渠道退货合作前后线上购买和在线退货(BORO)模式、线下购买和线下退货(BS)模式以及线上购买和店内退货(BORS)模式的消费者效用函数。然后构建了线上电商平台与线下零售商在全渠道退货合作前后的利润表达式,进一步探讨了线下零售商参与全渠道退货合作意愿的条件和价值。根据这项研究,得出了以下有趣而重要的结论。首先,线下实体零售商参与全渠道退货策略可以引入新的渠道,有助于线上线下渠道的整合。第二,当线上消费者占比较低时,线下实体零售商所要求的复合退货交叉销售利益临界点越大,其参与全渠道退货合作所导致的均衡价格越低。第三,当线上消费者比例超过一定阈值,消费者线上退货成本小于线下退货成本时,实体零售商可以通过提升退货服务体验来吸引消费者,从而进一步提高利润。在对零售业务的分析中,这些发现可以为全渠道退货的实施和实体业务的适当运营计划的制定提供指导。研究结论可以为实体零售商开展全渠道退货实践提供方向性建议,有助于制定合理的新零售运营策略。
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
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
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