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Managing Opportunistic Consumer Returns in Retail Operations

Author

Listed:
  • Mehmet Sekip Altug

    (School of Business, George Mason University, Fairfax, Virginia 22030)

  • Tolga Aydinliyim

    (Zicklin School of Business, Baruch College, The City University of New York, New York, New York 10010)

  • Aditya Jain

    (Zicklin School of Business, Baruch College, The City University of New York, New York, New York 10010)

Abstract

Retailers use lenient return policies to stimulate demand and increase revenues, as such policies help customers assess uncertain product valuations at low (or no) return cost and yield higher equilibrium prices. However, generous refunds also yield unintended consequences such as opportunistic returns , which take place when customers intentionally rent a product for short-term use. Accounting for 11% of all product returns in the United States in 2017, opportunistic returns prompt retailers to seek tactics to address adverse revenue and cost implications. We consider two alternative proposals using a price- and refund-setting newsvendor framework with two customer types: honest returners and renters . The first proposal, targeted-refunds , uses retail analytics firms to distinguish renters from honest returners and implements return policies tailored for each segment. The second proposal, menu-of-refunds , presents customers multiple price-refund pairs and lets them self-select. We compare and contrast the optimal decisions and the profit implications of both proposals with respect to two benchmark settings: one without any renters and another proposal, uniform-refunds , wherein the retailer merely reoptimizes its decisions while acknowledging that renters exist. We characterize the conditions under which the menu-of-refunds proposal separates customer types and thus matching or exceeding the performance of the targeted-refunds proposal. Furthermore, we study several alternative model specifications to confirm that our main finding concerning the effectiveness of the menu-of-refunds proposal is robust.

Suggested Citation

  • Mehmet Sekip Altug & Tolga Aydinliyim & Aditya Jain, 2021. "Managing Opportunistic Consumer Returns in Retail Operations," Management Science, INFORMS, vol. 67(9), pages 5660-5678, September.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:9:p:5660-5678
    DOI: 10.1287/mnsc.2020.3777
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    References listed on IDEAS

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    1. Che, Yeon-Koo, 1996. "Customer Return Policies for Experience Goods," Journal of Industrial Economics, Wiley Blackwell, vol. 44(1), pages 17-24, March.
    2. Mehmet Sekip Altug & Tolga Aydinliyim, 2016. "Counteracting Strategic Purchase Deferrals: The Impact of Online Retailers’ Return Policy Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 376-392, July.
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    Cited by:

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    3. Jalili, Monire & Çil, Eren B. & Pangburn, Michael S., 2024. "Pricing and structuring product trials: Separate versus mixed wine tastings," European Journal of Operational Research, Elsevier, vol. 312(2), pages 668-683.

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