全渠道BOPS策略的实施为消费者提供了便利,促进了销量的增长,但同时也对零售商的渠道管理带来了新的挑战。本文分别构建了在垄断和双寡头竞争环境下的渠道运营模型,推导出最优定价决策,并从渠道成本差和搜索成本的角度给出了零售商实施BOPS策略的有利条件。研究结果表明:对于渠道成本差,零售商总是在其较小时可以从策略实施中获利,而对于搜索成本,其对策略实施的影响因竞争环境和渠道成本差大小而异。当渠道成本差处于一个适中的范围,零售商的策略实施从较小的搜索成本中获利;而在双寡头竞争下,当两家零售商同时考虑实施BOPS策略且渠道成本差都较小时,策略实施从较大的搜索成本中获利。
In the era of new retail, consumers' demand for instant gratification and convenient services is increasing day by day, and they have also put forward higher requirements for shopping channels. In order to better meet consumers, omni-channel retail has become an important direction for enterprise transformation and upgrading. The BOPS model is one of the most important models in omni-channel, which provides convenience for consumers and brings more sales to businesses. However, this omni-channel transformation poses certain challenges. Although the implementation of strategy can generate demand expansion effect and bring more sales to retailers, its implementation will also impact the sales of existing online and offline channels. This article constructs channel operation models in monopolistic and duopoly competitive environments, obtains optimal pricing decisions, and provides favorable conditions for retailers to implement BOPS strategies from the perspectives of channel cost differences and search costs. For channel cost differences, retailers can always profit from strategy implementation when they are small, while for search costs, their impact varies depending on the competitive environment and the size of the channel cost difference. When the channel cost difference is within a moderate range, retailers' strategy implementation benefits from smaller search costs; In duopoly competition, when two retailers simultaneously consider implementing BOPS strategy and the channel cost difference is small, the strategy implementation benefits from higher search costs.
[1] 赵菊,程薇嘉,章斌. 基于BOPS的渠道整合策略[J]. 运筹与管理,2020,29(11):129-137. DOI:10.12005/orms.2020.0292.
[2] Forrester Consulting. Customer desires vs. retailer capabilities: Minding the omni-channel commerce gap[R/OL]. (2014-01)[2025-04-08]. https://www.mytotalretail.com/promo/customerdesireswp/
[3] Gao F, Su X M.Online and offline information for omnichannel retailing[J]. Manufacturing & Service Operations Management, 2016, 19(1): 84-98. DOI: 10.1287/msom.2016.0593.
[4] 刘咏梅,周笛,陈晓红. 考虑线下零售商服务成本差异的BOPS渠道整合[J]. 系统工程学报,2018,33(1):90-102. DOI:10.13383/j.cnki.jse.2018.01.009.
[5] Hu M, Xu X L, Xue W L, et al.Demand pooling in omnichannel operations[J]. Management Science, 2021, 68(2): 883-894. DOI: 10.1287/mnsc.2021.3964.
[6] Saha K, Bhattacharya S.‘Buy online and pick up in-store’: Implications for the store inventory[J]. European Journal of Operational Research, 2021, 294(3): 906-921. DOI: 10.1016/j.ejor.2020.10.006.
[7] Kong R X, Luo L, Chen L X, et al.The effects of BOPS implementation under different pricing strategies in omnichannel retailing[J]. Transportation Research Part E: Logistics and Transportation Review, 2020, 141: 102014. DOI: 10.1016/j.tre.2020.102014.
[8] 范辰, 刘咏梅, 陈晓红. 考虑渠道竞争和消费者行为的BOPS定价与服务合作[J]. 系统工程学报, 2018, 33(3): 387-397. DOI: 10.13383/j.cnki.jse.2018.03.010.
[9] Nageswaran L, Cho S H, Scheller-Wolf A.Consumer return policies in omnichannel operations[J]. Management Science, 2020, 66(12): 5558-5575. DOI: 10.1287/mnsc.2019.3492.
[10] Radhi M, Zhang G Q.Pricing policies for a dual-channel retailer with cross-channel returns[J]. Computers & Industrial Engineering, 2018, 119: 63-75. DOI: 10.1016/j.cie.2018.03.020.
[11] 李建斌, 汪鹏程, 罗晓萌. 双寡头垄断下全渠道竞争优化策略[J]. 运筹与管理, 2021, 30(7): 1-8. DOI: 10.12005/orms.2021.0000.
[12] Ge C C, Zhu J J.Effects of BOPS implementation under market competition and decision timing in omnichannel retailing[J]. Computers & Industrial Engineering, 2023, 179: 109227. DOI: 10.1016/j.cie.2023.109227.
[13] Wang R H, Nan G F, Chen L, et al.Channel integration choices and pricing strategies for competing dual-channel retailers[J]. IEEE Transactions on Engineering Management, 2022, 69(5): 2260-2274. DOI: 10.1109/TEM.2020.3007347.
[14] Jin D L, Caliskan-Demirag O, Chen F, et al.Omnichannel retailers’ return policy strategies in the presence of competition[J]. International Journal of Production Economics, 2020, 225: 107595. DOI: 10.1016/j.ijpe.2019.107595.
[15] Fan X J, Tian L, Wang C F, et al.Optimal service decisions in an omni-channel with buy-online-and-pick-up-in-store[J]. Journal of the Operational Research Society, 2022, 73(4): 794-810. DOI: 10.1080/01605682.2020.1863753.
[16] Gao F, Su X M.Omnichannel retail operations with buy-online-and-pick-up-in-store[J]. Management science, 2017, 63(8): 2478-2492. DOI:10.1287/mnsc.2016.2473.
[17] Zhang J Z, Xu Q Y, He Y.Omnichannel retail operations with consumer returns and order cancellation[J]. Transportation Research Part E: Logistics and Transportation Review, 2018, 118: 308-324. DOI: 10.1016/j.tre.2018.08.006.
[18] 刘金荣, 徐琪, 陈啟. 考虑网络退货和渠道成本时全渠道BOPS定价与服务决策[J]. 中国管理科学, 2019, 27(9): 56-67. DOI: 10.16381/j.cnki.issn1003-207x.2019.09.006.
[19] Huang S, Guan X, Chen Y J.Retailer information sharing with supplier encroachment[J]. Production and Operations Management, 2018, 27(6): 1133-1147. DOI: 10.1111/poms.12860.
[20] Liu Y C, Xiao Y X, Dai Y.Omnichannel retailing with different order fulfillment and return options[J]. International Journal of Production Research, 2023, 61(15): 5053-5074. DOI: 10.1080/00207543.2022.2092430.
[21] 郎骁, 邵晓峰. 消费者导向类型与电商全渠道决策研究[J]. 中国管理科学, 2020, 28(9): 164-175. DOI: 10.16381/j.cnki.issn1003-207x.2020.09.017.