考虑消费者退货行为的网络零售商直播决策研究
Live Broadcast Decisions of the Online Retailer Considering Consumer Return Behavior
DOI: 10.12677/ORF.2023.135427, PDF,    国家自然科学基金支持
作者: 朱开喃*, 郑 琪#：上海工程技术大学管理学院，上海
关键词: 消费者退货；网络零售商；直播决策；消费者满意率；Consumer Return； Online Retailer； Live Broadcast Decisions； Consumer Satisfaction Rate
摘要: 考虑到消费者收到产品时若不满意会产生退货行为，而网络零售商引入直播会增加消费者满意率从而减少退货行为，但同时会产生观看直播的麻烦成本。通过构建不引入直播和引入直播模式下的网络零售商决策模型，分析观看直播成本和退货成本等因素对最优决策的影响，探讨不同观看直播成本和退货成本下的网络零售商直播引入策略和定价策略。研究发现：当不观看直播消费者满意率较高时，观看直播成本较低且退货成本相对较高时，网络零售商应引入直播并提高售价获取更高收益。当不观看直播消费者满意率较低时，观看直播成本在较低范围且退货成本在适中范围内时，引入直播对网络零售商更有利。但当不观看直播消费者满意率较低，而观看直播成本和退货成本较高时，无论网络零售商是否引入直播均会亏损，此时网络零售商应选择放弃销售产品。当观看直播满意率升高或观看直播的消费者比例增加时，网络零售商选择引入直播的意愿会增加，而不观看直播满意率增加时，网络零售商选择不引入直播的意愿会增加。
Abstract: Considering that consumers who are not satisfied with the product will cause returns, and the introduction of live streaming by online retailers will increase consumer satisfaction rate and reduce returns, but at the same time will incur the troublesome cost of watching live broadcasts. By constructing a decision-making model for online retailers without introducing live streaming and introducing live streaming mode, the influence of factors such as viewing live broadcast cost and return cost on the optimal decision is analyzed, and the live streaming introduction strategy and pricing strategy of online retailers under different viewing live broadcast costs and return costs are discussed. The study found that when the satisfaction rate of consumers who do not watch live broadcast is high, the cost of watching live broadcast is low and the cost of return is relatively high, online retailer should introduce live broadcast and increase selling prices to obtain higher revenue. When consumer satisfaction rates for not watching live broadcast are low, when the cost of watching live broadcast is lower and the cost of return is within the moderate range, the introduction of live broadcast is more beneficial to online retailer. However, when the consumer satisfaction rate of not watching the live broadcast is low, and the cost of watching the live broadcast and the cost of return are higher, whether the online retailer introduces the live broadcast or not, it will lose money, at which time the online retailer should choose to abandon the sale of the product. When the satisfaction rate of watching live broadcast increases or the proportion of consumers watching live broadcast increases, the willingness of online retailer to choose to introduce live broadcast will increase, and when the satisfaction rate of not watching live broadcast increases, the willingness of online retailers to choose not to introduce live broadcasts will increase.
文章引用：朱开喃, 郑琪. 考虑消费者退货行为的网络零售商直播决策研究[J]. 运筹与模糊学, 2023, 13(5): 4279-4297. https://doi.org/10.12677/ORF.2023.135427

参考文献

[1] Kang, K., Lu, J., Guo, L. and Li, W. (2020) The Dynamic Effect of Interactivity on Customer Engagement Behavior Through Tie Strength: Evidence From Live Streaming Commerce Platforms. International Journal of Information Management, 56, Article ID: 102251. [Google Scholar] [CrossRef] 
[2] Zhang, M., Sun, L., Qin, F. and Wang, G.A. (2020) E-Service Quality on Live Streaming Platforms: Swift Guanxi Perspective. Journal of Services Marketing, 35, 312-324. [Google Scholar] [CrossRef] 
[3] 范小军, 蒋欣羽, 倪蓉蓉, 董学兵. 移动视频直播的互动性对持续使用意愿的影响[J]. 系统管理学报, 2020, 29(2): 294-307.
[4] Sun, H., Chen, J. and Fan, M. (2021) Effect of Live Chat on Traf-fic-to-Sales Conversion: Evidence from an Online Marketplace. Production and Operations Management, 30, 1201-1219. [Google Scholar] [CrossRef] 
[5] Zhang, M., Liu, Y., Wang, Y. and Zhao, L. (2022) How to Retain Customers: Understanding the Role of Trust in Live Streaming Commerce with a Socio-Technical Perspective. Computers in Human Behavior, 127, 107052. [Google Scholar] [CrossRef] 
[6] Chen, Y.-H., Chen, M.-C. and Keng, C.-J. (2020) Measuring Online Live Streaming of Perceived Servicescape: Scale Development and Validation on Behavior Outcome. Internet Research, 30, 737-762. [Google Scholar] [CrossRef] 
[7] Wongkitrungrueng, A. and Assarut, N. (2020) The Role of Live Streaming in Building Consumer Trust and Engagement with Social Commerce Sellers. Journal of Business Research, 117, 543-556. [Google Scholar] [CrossRef] 
[8] 张学龙, 吴豆豆, 王军进, 等. 考虑退货风险的制造商双渠道供应链定价决策研究[J].中国管理科学, 2018, 26(3): 59-70.
[9] 原逸超, 石岿然. 考虑策略型消费者和退货的零售商定价和订货决策研究[J]. 中国管理科学, 2020, 28(6): 83-93.
[10] 杨浩雄, 顾子跃, 王浩, 赵川. 考虑跨渠道退货的双渠道供应链最优策略[J]. 中国管理科学, 2022, 30(6): 116-126.
[11] Zhang, J., Xu, Q. and He, Y. (2018) Omnichannel Retail Operations with Consumer Returns and Order Cancellation. Transportation Research Part E, 118, 308-324. [Google Scholar] [CrossRef] 
[12] 赵菊, 程薇嘉, 邱菊, 章斌. 考虑跨渠道退货的BOPS全渠道策略[J]. 系统工程学报, 2022, 37(1): 104-116.
[13] Zhang, Q., Chen, J. and Chen, B. (2021) Information Strategy in a Supply Chain under Asymmetric Customer Returns Information. Transportation Research Part E, 155, Article ID: 102511. [Google Scholar] [CrossRef] 
[14] Jin, D., Caliskan-Demirag, O., Chen, F. and Huang, m. (2020) Omnichannel Retailers’ Return Policy Strategies in the Presence of Competition. International Journal of Production Economics, 225, Article ID: 107595. [Google Scholar] [CrossRef] 
[15] Wang, J. and He, S. (2022) Optimal Decisions of Modularity, Prices and Return Policy in a Dual-Channel Supply Chain under Mass Customization. Transportation Research Part E, 160, Article ID: 102675. [Google Scholar] [CrossRef] 
[16] 潘文军, 缪林. 考虑跨渠道退货的双渠道闭环供应链决策研究[J]. 中国管理科学, 2020, 28(6): 112-122.
[17] 金亮, 陈朝晖, 温焜. 线上零售商开设体验店: 基于供应链的视角[J]. 中国管理科学, 2022, 30(6): 135-146.
[18] 张志坚, 王鹏, 郭军华, 商长敏. 基于在线评论服务策略的电商供应链决策[J]. 系统工程学报, 2021, 36(2): 227-239.
[19] Li, Y., Xiong, Y., Mariuzzo, F. and Xia, S. (2021) The Underexplored Impacts of Online Consumer Reviews: Pricing and New Product Design Strategies in the O2o Supply Chain. International Journal of Production Economics, 237, Article ID: 108148. [Google Scholar] [CrossRef] 
[20] Wang, C., Leng, M. and Liang, L. (2018) Choosing an Online Retail Channel for a Manufacturer: Direct Sales or Consignment? International Journal of Production Economics, 195, 338-358. [Google Scholar] [CrossRef] 
[21] Geng, X., Tan, Y. and Wei, L. (2018) How Add-On Pricing Interacts with Distribution Contracts. Production and Operations Management, 27, 605-623. [Google Scholar] [CrossRef] 
[22] Kuksov, D. and Liao, C. (2018) When Showrooming Increases Retailer Profit. Journal of Marketing Research, 55, 459-473. [Google Scholar] [CrossRef] 
[23] Zhang, S., Wei, L. and Zhang, J. (2022) Demand Forecast Sharing for a Dominant Retailer with Supplier Encroachment and Quality Decisions. European Journal of Operational Research, 301, 39-50. [Google Scholar] [CrossRef] 
[24] 周尔凤, 张廷龙, 倪蕾, 等. 竞争中的参考价格效应及承诺[J]. 中国管理科学, 2018, 26(8): 75-85.
[25] Sun, Y., Wang, Z. and Han, X. (2020) Supply Chain Channel Strategies for Online Retailers: Whether to Introduce Web Showrooms? Transportation Research Part E, 144, Article ID: 102122. [Google Scholar] [CrossRef] 
[26] Li, M., Zhang, X. and Dan, B. (2020) Competition and Cooperation in a Supply Chain with an Offline Showroom under Asymmetric Information. International Journal of Production Research, 58, 5964-5979. [Google Scholar] [CrossRef] 
[27] 胡娇, 李莉, 张华, 等. 考虑参照效应和主播影响力的网络直播平台动态定价决策[J]. 系统工程理论与实践, 2022, 42(3): 755-766.
[28] 汪乐, 宋杨, 范体军. 制造商直播引入的策略研究[J/OL]. 中国管理科学, 2022: 1-12.[CrossRef] 
[29] Liu, J. and Xu, Q. (2020) Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns. Sustainability, 12, Article No. 1539. [Google Scholar] [CrossRef] 

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