Welcome to Journal of University of Chinese Academy of Sciences,Today is

Research on retailer pricing strategy under omni-channel BOPS model

  • YANG Peijin ,
  • YAN Xiaoming
Expand
  • School of Management, University of Science and Technology of China, Hefei 230026, China

Received date: 2025-04-10

  Revised date: 2025-07-11

  Online published: 2025-07-17

Abstract

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.

Cite this article

YANG Peijin , YAN Xiaoming . Research on retailer pricing strategy under omni-channel BOPS model[J]. Journal of University of Chinese Academy of Sciences, 0 : 41 . DOI: 10.7523/j.ucas.2025.045

References

[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.
Outlines

/