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Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns

Author

Listed:
  • Jinrong Liu

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Qi Xu

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

Abstract

Uncertainty in demand and high online return rates tend to generate a large inventory backlog after a hot selling season. Some well-known companies such as Burberry and H&M choose to burn these backlogs, which is very unfavorable to the sustainable development of enterprises and society. The omnichannel BOPS (Buy Online and Pickup in Store) provides consumers with a new and convenient choice of purchasing channels. Considering the probability of online return, we build expected profit models for retailers before and after opening a BOPS channel based on consumer surplus and purchase ratio via an online channel, store channel, and BOPS channel. Then, we prove the existence of optimal solutions and obtain the joint optimization decision on pricing and ordering. The results show that, under certain conditions, when the proportion of online channel buyers increases, the retailers’ optimal decision before opening a BOPS channel is to reduce the price and increase the order quantity, and the retailers’ optimal decision after opening a BOPS channel is to simultaneously reduce the price and the order quantity. Whether or not a BOPS channel is opened, when the purchase proportion of store channel increases, the optimal decision of retailers is to increase the price and order quantity at the same time. Furthermore, when the online return rate, the cost of online shopping, the inconvenient cost of the store channel, and the inconvenience of the BOPS channel relative to store channel increase, the optimal decision of retailers is to simultaneously reduce the price and order quantity. Moreover, when the maximum psychological value of the product increases, the optimal decision is to reduce the order quantity while increasing the price. In addition, the opening of a BOPS channel increases optimal price, optimal order quantity, and maximum expected profit.

Suggested Citation

  • Jinrong Liu & Qi Xu, 2020. "Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1539-:d:322259
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    References listed on IDEAS

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    1. Davis, Scott & Hagerty, Michael & Gerstner, Eitan, 1998. "Return policies and the optimal level of "hassle"," Journal of Economics and Business, Elsevier, vol. 50(5), pages 445-460, September.
    2. MacCarthy, Bart L. & Zhang, Lina & Muyldermans, Luc, 2019. "Best Performance Frontiers for Buy-Online-Pickup-in-Store order fulfilment," International Journal of Production Economics, Elsevier, vol. 211(C), pages 251-264.
    3. Santiago Gallino & Antonio Moreno, 2014. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information," Management Science, INFORMS, vol. 60(6), pages 1434-1451, June.
    4. Rabbani, Masoud & Pourmohammad Zia, Nadia & Rafiei, Hamed, 2016. "Joint optimal dynamic pricing and replenishment policies for items with simultaneous quality and physical quantity deterioration," Applied Mathematics and Computation, Elsevier, vol. 287, pages 149-160.
    5. Paul, Joydeep & Agatz, Niels & Savelsbergh, Martin, 2019. "Optimizing Omni-Channel Fulfillment with Store Transfers," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 381-396.
    6. Verhoef, Peter C. & Kannan, P.K. & Inman, J. Jeffrey, 2015. "From Multi-Channel Retailing to Omni-Channel Retailing," Journal of Retailing, Elsevier, vol. 91(2), pages 174-181.
    7. Herbon, Avi & Khmelnitsky, Eugene, 2017. "Optimal dynamic pricing and ordering of a perishable product under additive effects of price and time on demand," European Journal of Operational Research, Elsevier, vol. 260(2), pages 546-556.
    8. Anily, Shoshana & Hassin, Refael, 2013. "Pricing, replenishment, and timing of selling in a market with heterogeneous customers," International Journal of Production Economics, Elsevier, vol. 145(2), pages 672-682.
    9. Zhang, Juzhi & Xu, Qingyun & He, Yi, 2018. "Omnichannel retail operations with consumer returns and order cancellation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 308-324.
    10. Yiling Fang & Xinhui Wang & Jinjiang Yan, 2020. "Green Product Pricing and Order Strategies in a Supply Chain under Demand Forecasting," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    11. V. Daniel R. Guide , Jr. & Gilvan C. Souza & Luk N. Van Wassenhove & Joseph D. Blackburn, 2006. "Time Value of Commercial Product Returns," Management Science, INFORMS, vol. 52(8), pages 1200-1214, August.
    12. Pal, Brojeswar & Sana, Shib Sankar & Chaudhuri, Kripasindhu, 2014. "Joint pricing and ordering policy for two echelon imperfect production inventory model with two cycles," International Journal of Production Economics, Elsevier, vol. 155(C), pages 229-238.
    13. Cao, James & So, Kut C. & Yin, Shuya, 2016. "Impact of an “online-to-store” channel on demand allocation, pricing and profitability," European Journal of Operational Research, Elsevier, vol. 248(1), pages 234-245.
    14. Shuai Yang & Lei Li & Jiemin Zhang, 2018. "Understanding Consumers’ Sustainable Consumption Intention at China’s Double-11 Online Shopping Festival: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    15. Jin, Ming & Li, Gang & Cheng, T.C.E., 2018. "Buy online and pick up in-store: Design of the service area," European Journal of Operational Research, Elsevier, vol. 268(2), pages 613-623.
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    Cited by:

    1. Yande Gong & Yidan Ma & Zhe Wang, 2022. "Omnichannel Retail Strategy Considering Cost-Sharing and Consumer Heterogeneity under Different Power Structures," Mathematics, MDPI, vol. 10(21), pages 1-32, October.
    2. Yi He & Qianqian Xu & Da Zhao, 2020. "Impacts of the BOPS Option on Sustainable Retailing," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    3. Qiu, Ruozhen & Ma, Lin & Sun, Minghe, 2023. "A robust omnichannel pricing and ordering optimization approach with return policies based on data-driven support vector clustering," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1337-1354.
    4. Shujun Yang & Ivan Kai Wai Lai & Huajun Tang, 2022. "Pricing and Contract Coordination of BOPS Supply Chain Considering Product Return Risk," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    5. Han Wang & Chuan Pang & Huajun Tang, 2023. "Pricing and Carbon-Emission-Reduction Decisions under the BOPS Mode with Low-Carbon Preference from Customers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    6. Muñoz-Villamizar, Andrés & Piatti, Matias & Mejía-Argueta, Christopher & Pirabe, Luis Felipe & Namdar, Jafar & Gomez, Juan Felipe, 2024. "Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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