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Bricks Processing Returns for Clicks: Can Foes Become Friends?

Author

Listed:
  • Ahmed Timoumi

    (Department of Marketing, Indian School of Business, Hyderabad 500032, India)

  • Abhinav Uppal

    (Department of Marketing, Indian School of Business, Hyderabad 500032, India)

Abstract

The rise of e-commerce has transformed the retail industry, changing consumer habits and forcing offline retailers to find new ways to stay relevant. Meanwhile, online retailers are seeking ways to enhance the flexibility of product returns as they lack a tactile shopping experience. As such, novel buy online, return in store (BORS) agreements between competing online and offline retailers, such as Amazon and Kohl’s, are emerging. A BORS agreement allows customers who buy from the online retailer to make returns at the offline retailer’s stores. In this paper, we examine the strategic impact of the agreement on price competition and profits. Our analysis suggests that the BORS agreement can create an aggressive environment for the offline retailer, despite the additional footfall from returners. However, under certain conditions, the agreement creates an opportunity for the two retailers to carve out a section of the customer base that they can decide not to compete on. As a result of this strategic effect, the agreement can soften price competition, rendering both retailers better off when they are moderately differentiated. Interestingly, the agreement can also curb customers’ showrooming behavior. We also investigate the welfare implications of the agreement and show that it can lead to a win-win-win situation for the online retailer, offline retailer, and consumers.

Suggested Citation

  • Ahmed Timoumi & Abhinav Uppal, 2025. "Bricks Processing Returns for Clicks: Can Foes Become Friends?," Marketing Science, INFORMS, vol. 44(6), pages 1428-1445, November.
  • Handle: RePEc:inm:ormksc:v:44:y:2025:i:6:p:1428-1445
    DOI: 10.1287/mksc.2023.0077
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    References listed on IDEAS

    as
    1. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2010. "Optimal Reverse Channel Structure for Consumer Product Returns," Marketing Science, INFORMS, vol. 29(6), pages 1071-1085, 11-12.
    2. 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.
    3. Rajiv Lal & Miklos Sarvary, 1999. "When and How Is the Internet Likely to Decrease Price Competition?," Marketing Science, INFORMS, vol. 18(4), pages 485-503.
    4. Bruce McWilliams, 2012. "Money-Back Guarantees: Helping the Low-Quality Retailer," Management Science, INFORMS, vol. 58(8), pages 1521-1524, August.
    5. Dominique Olié Lauga & Elie Ofek, 2011. "Product Positioning in a Two-Dimensional Vertical Differentiation Model: The Role of Quality Costs," Marketing Science, INFORMS, vol. 30(5), pages 903-923, September.
    6. Chengsi Wang & Julian Wright, 2020. "Search platforms: showrooming and price parity clauses," RAND Journal of Economics, RAND Corporation, vol. 51(1), pages 32-58, March.
    7. Yuxin Chen & Yue Dai & Zhe Zhang & Kun Zhang, 2024. "Managing Multirooming: Why Uniform Price Can Be Optimal for a Monopoly Retailer and Can Be Uniformly Lower," Management Science, INFORMS, vol. 70(5), pages 3102-3122, May.
    8. Dos Santos Ferreira, Rodolphe & Thisse, Jacques-Francois, 1996. "Horizontal and vertical differentiation: The Launhardt model," International Journal of Industrial Organization, Elsevier, vol. 14(4), pages 485-506, June.
    9. John Hagedoorn, 1993. "Understanding the rationale of strategic technology partnering: Interorganizational modes of cooperation and sectoral differences," Strategic Management Journal, Wiley Blackwell, vol. 14(5), pages 371-385, July.
    10. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    11. Leela Nageswaran & Elina H. Hwang & Soo-Haeng Cho, 2025. "Offline Returns for Online Retailers via Partnership," Management Science, INFORMS, vol. 71(1), pages 279-297, January.
    12. Lin Hao & Subodha Kumar, 2024. "Benefit of Consumer Showrooming for a Physical Retailer: A Distribution Channel Perspective," Management Science, INFORMS, vol. 70(8), pages 5208-5225, August.
    13. Amit Mehra & Subodha Kumar & Jagmohan S. Raju, 2018. "Competitive Strategies for Brick-and-Mortar Stores to Counter “Showrooming”," Management Science, INFORMS, vol. 64(7), pages 3076-3090, July.
    14. John C. Harsanyi & Reinhard Selten, 1972. "A Generalized Nash Solution for Two-Person Bargaining Games with Incomplete Information," Management Science, INFORMS, vol. 18(5-Part-2), pages 80-106, January.
    15. Yongmin Chen & Michael H. Riordan, 2007. "Price and Variety in the Spokes Model," Economic Journal, Royal Economic Society, vol. 117(522), pages 897-921, July.
    16. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    17. S.A. Lippman & R.P. Rumelt, 1982. "Uncertain Imitability: An Analysis of Interfirm Differences in Efficiency under Competition," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 418-438, Autumn.
    18. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2009. "Optimal Restocking Fees and Information Provision in an Integrated Demand-Supply Model of Product Returns," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 577-594, December.
    19. Nils Rudi & Sandeep Kapur & David F. Pyke, 2001. "A Two-Location Inventory Model with Transshipment and Local Decision Making," Management Science, INFORMS, vol. 47(12), pages 1668-1680, December.
    20. Zhiang (John) Lin & Haibin Yang & Bindu Arya, 2009. "Alliance partners and firm performance: resource complementarity and status association," Strategic Management Journal, Wiley Blackwell, vol. 30(9), pages 921-940, September.
    21. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2011. "Managing Consumer Returns in a Competitive Environment," Management Science, INFORMS, vol. 57(2), pages 347-362, February.
    22. Xinxin Hu & Izak Duenyas & Roman Kapuscinski, 2007. "Existence of Coordinating Transshipment Prices in a Two-Location Inventory Model," Management Science, INFORMS, vol. 53(8), pages 1289-1302, August.
    23. Irmen, Andreas & Thisse, Jacques-Francois, 1998. "Competition in Multi-characteristics Spaces: Hotelling Was Almost Right," Journal of Economic Theory, Elsevier, vol. 78(1), pages 76-102, January.
    24. Maarten C. W. Janssen & T. Tony Ke, 2020. "Searching for Service," American Economic Journal: Microeconomics, American Economic Association, vol. 12(1), pages 188-219, February.
    25. Liang Guo & Xiaole Wu, 2018. "Capacity Sharing Between Competitors," Management Science, INFORMS, vol. 64(8), pages 3554-3573, August.
    26. Daniel Granot & Greys Sošić, 2003. "A Three-Stage Model for a Decentralized Distribution System of Retailers," Operations Research, INFORMS, vol. 51(5), pages 771-784, October.
    27. Catherine M. Banbury & Will Mitchell, 1995. "The effect of introducing important incremental innovations on market share and business survival," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 161-182.
    28. Heski Bar-Isaac & Sandro Shelegia, 2023. "Search, Showrooming, and Retailer Variety," Marketing Science, INFORMS, vol. 42(2), pages 251-270, March.
    29. Wilfred Amaldoss & Chuan He, 2018. "Reference-Dependent Utility, Product Variety, and Price Competition," Management Science, INFORMS, vol. 64(9), pages 4302-4316, September.
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