基于退货行为的线上零售商网红直播引入策略
Influencer Live Broadcast Decisions of Online Retailer Based on Return Behavior
摘要: 线上零售商通过传统电商渠道向消费者提供产品的同时，也可以通过网红直播渠道销售产品。网红直播可以通过向消费者展示产品细节，并利用直播话术影响消费者满意率从而影响退货行为。同时，网红直播渠道也会对传统电商渠道具有正向溢出效应。本文从消费者退货行为出发，构建传统电商模式和网红直播模式下的线上零售商决策模型，通过Stackelberg博弈模型研究线上零售商网红直播引入策略。研究发现：当观看网红直播成本较低而退货成本相对较高时，引入网红直播对线上零售商更有利。当观看网红直播成本较低且退货成本也相对较低时，线上零售商应选择传统电商模式。当观看网红直播满意率影响系数增加时，线上零售商选择网红直播模式的意愿越大。
Abstract: While online retailers offer products to consumers through traditional e-commerce channels, they can also sell products through online influencer live streaming channels. Influencer live streaming can influence return behavior by showing product details to consumers and using live streaming to influence consumer satisfaction rates. At the same time, the online celebrity live broadcast channel will also have a positive spillover effect on the traditional e-commerce channel. Based on the return behavior of consumers, this paper constructs the decision-making model of online retailers in the traditional e-commerce model and the online celebrity live broadcast mode, and studies the introduction strategy of online retailers’ online celebrity live broadcast through the Stackelberg game model. The study found that when the cost of watching an influencer live stream is low and the cost of returning goods is relatively high, it is more beneficial for online retailers to introduce an influencer live stream. When the cost of watching an influencer’s live broadcast is low and the cost of returning goods is relatively low, online retailers should choose the traditional e-commerce model. When the impact coefficient of the satisfaction rate of watching the online celebrity live broadcast increases, the greater the willingness of online retailers to choose the online celebrity live broadcast mode.
文章引用：朱开喃, 郑琪. 基于退货行为的线上零售商网红直播引入策略[J]. 电子商务评论, 2024, 13(1): 327-341. https://doi.org/10.12677/ECL.2024.131040

参考文献

[1] Modak, N.M., Modak, N., Panda, S., et al. (2018) Analyzing Structure of Two-Echelon Closed-Loop Supply Chain for Pricing, Quality and Recycling Management. Journal of Cleaner Production, 171, 512-528. [Google Scholar] [CrossRef] 
[2] Geng, X.N., Tan, Y.L. and Wei, L. (2018) How Add-On Pricing Interacts with Distribution Contracts. Production and Operations Management, 27, 605-623. [Google Scholar] [CrossRef] 
[3] Li, G., Li, L. and Sun, I. (2019) Pricing and Service Effort Strategy in a Dual-Channel Supply Chain with Showrooming Effect. Transportation Research Part E, 126, 32-48. [Google Scholar] [CrossRef] 
[4] 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.
[5] 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.
[6] Wang, C.X., Leng, M.M. and Liang, L.P. (2018) Choosing an Online Retail Channel for a Manufacturer: Direct Sales or Consignment? International Journal of Production Economics, 195, 338-358. [Google Scholar] [CrossRef] 
[7] Kuksov, D. and Liao, C.X. (2018) When Showrooming Increases Retailer Profit. Journal of Marketing Research, 55, 459-473. [Google Scholar] [CrossRef] 
[8] Wang, Y.Y., Fan, R.N., Shen, L., et al. (2020) Decisions and Coordination of Green E-Commerce Supply Chain Considering Green Manufacturer’s Fairness Concerns. International Journal of Production Research, 58, 7471-7489. [Google Scholar] [CrossRef] 
[9] Dan, B., Zhang, H.Y., Zhang, X.M., et al. (2020) Should an Online Manufacturer Partner with a Competing or Noncompeting Retailer for Physical Showrooms? International Transactions in Operational Research, 28, 2691-2714. [Google Scholar] [CrossRef] 
[10] 卢超, 邢窈窈. 基于线上评论的生鲜产品供应链定价策略[J]. 运筹与管理, 2022, 31(6): 91-97.
[11] 杨浩雄, 顾子跃, 王浩, 等. 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.
[12] 赵菊, 程薇嘉, 邱菊, 等. 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] Dikstra, A.S., Van der Heide, G. and An Roodbergen, K. (2019) Transshipments of Cross-Channel Returned Products. International Journal of Production Economics, 209, 70-77. [Google Scholar] [CrossRef] 
[14] In, D., Caliskan-Demirag, O., Chen, F., et al. (2020) Omnichannel Retailers’ Return Policy Strategies in the Presence of Competition. International Journal of Production Economics, 225, Article ID: 107595. [Google Scholar] [CrossRef] 
[15] Zhang, Q., Chen, B.T., et al. (2021) Information Strategy in a Sup-ply Chain under Asymmetric Customer Returns Information. Transportation Research Part E: Logistics and Transpor-tation Review, 155, Article ID: 102511. [Google Scholar] [CrossRef] 
[16] 王雨亭, 陈克红, 王兰婷, 等. 考虑退货的电商平台销售策略[J]. 运筹与管理, 2022, 31(4): 163-168.
[17] Ali Shirzadeh, C., Ehsan, E., Mahdi, F., et al. (2022) Impact of Return Leni-ency on Retailers’ Profit and Social Welfare in Monopoly Markets. Computers & Industrial Engineering, 169, Article ID: 108149. [Google Scholar] [CrossRef] 
[18] Wang, J. and He, S.L. (2022) Optimal Decisions of Modularity, Prices and Return Policy in a Dual-Channel Supply Chain under Mass Customization. Transportation Research Part E: Logistics and Transportation Review, 160, Article ID: 102675. [Google Scholar] [CrossRef] 
[19] Kang, K., Guo, L.Y., et al. (2020) The Dynamic Effect of Interactiv-ity on Customer Engagement Behavior through Tie Strength: Evidence from Live Streaming Commerce Platforms. Inter-national Journal of Information Management, 56, Article ID: 102251. [Google Scholar] [CrossRef] 
[20] 范小军, 蒋欣羽, 倪蓉蓉, 等. 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.
[21] Chen, Y.H., Chen, M.C. and Keng, C. (2020) Measuring Online Live Streaming of Perceived Servicescape: Scale Development and Validation on Behavior Outcome. Internet Research, 30, 737-762. [Google Scholar] [CrossRef] 
[22] Zhang, M.L., Liu, Y.F., Wang, Y., et al. (2022) How to Retain Customers: Understanding the Role of Trust in Live Streaming Commerce with a Socio-Technical Perspective. Comput-ers in Human Behavior, 127, Article ID: 107052. [Google Scholar] [CrossRef] 
[23] Gao, W., Guo, Q.Q., et al. (2023) How Do Virtual Streamers Af-fect Purchase Intention in the Live Streaming Context? A Presence Perspective. Journal of Retailing and Consumer Ser-vices, 73, Article ID: 103356. [Google Scholar] [CrossRef] 
[24] Wongkitrungrueng, A., Dehouche, N. and Assarut, N. (2020) The Role of Live Streaming in Building Consumer Trust and Engagement with Social Commerce Sellers. Journal of Marketing Management, 36, 488-518. [Google Scholar] [CrossRef] 
[25] Xu, X.P., Yang, Y.Y., et al. (2023) Live Streaming Platform Operations and Coordination under the Cap-and-Trade Regulation: Platform-Enabled Mode versus Platform-Agency Mode. International Journal of Production Economics, 260, Article ID: 108859. [Google Scholar] [CrossRef] 
[26] 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.
[27] Xin, B.G., Hao, Y.R. and Xie, L. (2023) Strategic Product Showcasing Mode of E-Commerce Live Streaming. Journal of Retailing and Consumer Services, 73, 12-32. [Google Scholar] [CrossRef] 
[28] Ji, G., Fu, T.Y. and Li, S.H. (2023) Optimal Selling Format Considering Price Discount Strategy in Live-Streaming Commerce. European Journal of Operational Research, 309, 529-544. [Google Scholar] [CrossRef] 
[29] 刘焱洪, 张建雄. 网红带货对销售企业盈利影响研究[J]. 管理工程学报, 2023, 37(3): 60-68.
[30] Liu, J.R. 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] 
[31] Zhang, S.C., Wei, L.Q. and Zhang, J.X. (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] 
[32] 李恒宇, 柴俊武. 溢出效应下制造商的直播带货策略研究[J]. 中国管理科学, 2022: 1-16.

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