IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i21p4004-d956358.html
   My bibliography  Save this article

Omnichannel Retail Strategy Considering Cost-Sharing and Consumer Heterogeneity under Different Power Structures

Author

Listed:
  • Yande Gong

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Yidan Ma

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Zhe Wang

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

Abstract

This paper explores two Omnichannel retail models consisted of one online platform and one brick-and-mortar store under different power structures considering cost-sharing mechanisms. In retail supply chain dominated by the online platform and brick-and-mortar store, respectively, under a “Buy online and pick up in store” strategy, the influences of the cost-sharing ratio and the proportion of traditional consumers on pricing and service decisions, the demands of various groups of consumers, and the performance of the retail system have been examined. In addition, the results of decision-making and profitabilities of retailers under different power structures have also been considered. The key findings show that the optimal price and service level first increase and then decrease with the cost-sharing ratio in a retail system dominated by the online platform. In contrast, the price and service level increase with the cost-sharing ratio only when the proportion of traditional consumers is relatively large in a retail system dominated by brick-and-mortar store. The symmetry demand increases as the scale of traditional consumers shrinks when the cost-sharing ratio is relatively large in a retail system dominated by the online system. At the same time, it only increases when the cost-sharing ratio is in the range of 5 / 8 , 5 / 6 in a retail system dominated by the brick-and-mortar store. No matter what the power structure is, the profit of the retail system always first increases and then decreases with the proportion of traditional consumers. Additionally, when the cost-sharing ratio and the proportion of traditional consumers are relatively small, the total demand in the retail system dominated by the online platform is higher than that in the retail system dominated by the brick-and-mortar store. The total profit is larger in the online platform-dominated retail system than that in the brick-and-mortar store-dominated retail system when the cost-sharing ratio is relatively high. However, when the cost-sharing ratio is relatively low, the profitability of the brick-and-mortar store-dominated retail system is stronger.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4004-:d:956358
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/21/4004/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/21/4004/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Guo & Li, Lin & Sun, Jiasen, 2019. "Pricing and service effort strategy in a dual-channel supply chain with showrooming effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 32-48.
    2. Jindal, Rupinder P. & Gauri, Dinesh K. & Li, Wanyu & Ma, Yu, 2021. "Omnichannel battle between Amazon and Walmart: Is the focus on delivery the best strategy?," Journal of Business Research, Elsevier, vol. 122(C), pages 270-280.
    3. David R. Bell & Santiago Gallino & Antonio Moreno, 2018. "Offline Showrooms in Omnichannel Retail: Demand and Operational Benefits," Management Science, INFORMS, vol. 64(4), pages 1629-1651, April.
    4. Fan, Jianchang & Ni, Debing & Fang, Xiang, 2020. "Liability cost sharing, product quality choice, and coordination in two-echelon supply chains," European Journal of Operational Research, Elsevier, vol. 284(2), pages 514-537.
    5. Wang, Rebecca Jen-Hui & Malthouse, Edward C. & Krishnamurthi, Lakshman, 2015. "On the Go: How Mobile Shopping Affects Customer Purchase Behavior," Journal of Retailing, Elsevier, vol. 91(2), pages 217-234.
    6. Huijing Li & Shilei Yang & Haiyan Kang & Victor Shi, 2020. "“Buy Online, Pick Up in Store” under Fit Uncertainty: To Offer or Not to Offer," Complexity, Hindawi, vol. 2020, pages 1-12, July.
    7. 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.
    8. Yan, Nina & Liu, Yang & Xu, Xun & He, Xiuli, 2020. "Strategic dual-channel pricing games with e-retailer finance," European Journal of Operational Research, Elsevier, vol. 283(1), pages 138-151.
    9. Kong, Ruixiao & Luo, Li & Chen, Liuxin & Keblis, Matthew F., 2020. "The effects of BOPS implementation under different pricing strategies in omnichannel retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    10. Li, Xiang & Li, Yongjian & Cao, Wenjing, 2019. "Cooperative advertising models in O2O supply chains," International Journal of Production Economics, Elsevier, vol. 215(C), pages 144-152.
    11. 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.
    12. Zhang, Peng & He, Yong & Shi, Chunming (Victor), 2017. "Retailer's channel structure choice: Online channel, offline channel, or dual channels?," International Journal of Production Economics, Elsevier, vol. 191(C), pages 37-50.
    13. Pauwels, Koen & Neslin, Scott A., 2015. "Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment," Journal of Retailing, Elsevier, vol. 91(2), pages 182-197.
    14. Santiago Gallino & Antonio Moreno & Ioannis Stamatopoulos, 2017. "Channel Integration, Sales Dispersion, and Inventory Management," Management Science, INFORMS, vol. 63(9), pages 2813-2831, September.
    15. Anantaram Balakrishnan & Shankar Sundaresan & Bo Zhang, 2014. "Browse-and-Switch: Retail-Online Competition under Value Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1129-1145, July.
    16. Nie, Jiajia & Zhong, Ling & Yan, Hong & Yang, Wenjuan, 2019. "Retailers' distribution channel strategies with cross-channel effect in a competitive market," International Journal of Production Economics, Elsevier, vol. 213(C), pages 32-45.
    17. Chen, Xingli & Zhou, Jianheng, 2021. "The complexity analysis and chaos control in omni-channel supply chain with consumer migration and advertising cost sharing," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    18. Zhou, Yong-Wu & Guo, Jinsen & Zhou, Wenhui, 2018. "Pricing/service strategies for a dual-channel supply chain with free riding and service-cost sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 198-210.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Zonghuo & Wang, Di & Yang, Wensheng & Jin, Hyun Seung, 2022. "Price, online coupon, and store service effort decisions under different omnichannel retailing models," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. Qian Zheng & Manman Wang & Feng Yang, 2021. "Optimal Channel Strategy for a Fresh Produce E-Commerce Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    3. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Christiane Lehrer & Manuel Trenz, 2022. "Omnichannel Business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 687-699, June.
    5. 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.
    6. Sun, Yanhong & Wang, Zihan & Han, Xiaohua, 2020. "Supply chain channel strategies for online retailers: Whether to introduce web showrooms?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    7. Subrata Mitra, 2022. "Economic models of price competition between traditional and online retailing under showrooming," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(1), pages 29-63, March.
    8. Kong, Ruixiao & Luo, Li & Chen, Liuxin & Keblis, Matthew F., 2020. "The effects of BOPS implementation under different pricing strategies in omnichannel retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    9. Zhou, Yong-Wu & Zhang, Xiong & Zhong, Yuanguang & Cao, Bin & Cheng, T.C. Edwin, 2021. "Dynamic pricing and cross-channel fulfillment for omnichannel retailing industry: An approximation policy and implications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    10. He, Yi & Xu, Qingyun & Shao, Zhen, 2021. "“Ship-from-store” strategy in platform retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Neslin, Scott A., 2022. "The omnichannel continuum: Integrating online and offline channels along the customer journey," Journal of Retailing, Elsevier, vol. 98(1), pages 111-132.
    12. von Briel, Frederik, 2018. "The future of omnichannel retail: A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 217-229.
    13. Jiu, Song, 2022. "Robust omnichannel retail operations with the implementation of ship-from-store," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    14. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    15. Jena, Sarat Kumar & Meena, Purushottam, 2022. "Shopping in the omnichannel supply chain under price competition and product return," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    16. Timoumi, Ahmed & Gangwar, Manish & Mantrala, Murali K., 2022. "Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research," Journal of Retailing, Elsevier, vol. 98(1), pages 133-151.
    17. Li, Zonghuo & Yang, Wensheng & Jin, Hyun Seung & Wang, Di, 2021. "Omnichannel retailing operations with coupon promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    18. He, Peng & He, Yong & Xu, Henry, 2020. "Buy-online-and-deliver-from-store strategy for a dual-channel supply chain considering retailer’s location advantage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    19. Yi He & Qianqian Xu & Da Zhao, 2020. "Impacts of the BOPS Option on Sustainable Retailing," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    20. Li, Chen & Swaminathan, Srinivasan & Kim, Junhee, 2021. "The role of marketing channels in consumers’ promotional point redemption decisions," Journal of Business Research, Elsevier, vol. 125(C), pages 314-323.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4004-:d:956358. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.