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Optimal Returns Policy under Demand Uncertainty

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  • Gurnani, Haresh
  • Sharma, Arun
  • Grewal, Dhruv

Abstract

Multiple categories of retail products suffer limited shelf life, demand uncertainty, and, in some cases, long lead times. To provide retailers with an incentive to increase the stocking quantity of such products, manufacturers may offer an option to return unsold items at wholesale or less than wholesale prices. This article extends the additive price-dependent demand model in three ways. First, partial returns are optimal for the manufacturer but do not induce higher stocking quantities compared with when the manufacturer offers no returns. Second, in terms of the effect of investment in demand-enhancing activities, when retailers invest, they set higher resale prices, but an optimal partial returns policy still does not induce higher stocking quantity, whereas when manufacturers invest, the optimal returns policy induces higher stocking quantity. Third, when the manufacturer and retailer have different expectations of demand uncertainty, the retailer's estimate influences the expected profits for both, whereas the manufacturer's estimate has a major impact on its profits only.

Suggested Citation

  • Gurnani, Haresh & Sharma, Arun & Grewal, Dhruv, 2010. "Optimal Returns Policy under Demand Uncertainty," Journal of Retailing, Elsevier, vol. 86(2), pages 137-147.
  • Handle: RePEc:eee:jouret:v:86:y:2010:i:2:p:137-147
    DOI: 10.1016/j.jretai.2010.02.001
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    References listed on IDEAS

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    Cited by:

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    2. Joon Yong Seo & Sukki Yoon & Milena Vangelova, 2016. "Shopping plans, buying motivations, and return policies: impacts on product returns and purchase likelihoods," Marketing Letters, Springer, vol. 27(4), pages 645-659, December.
    3. Kozlenkova, Irina V. & Hult, G. Tomas M. & Lund, Donald J. & Mena, Jeannette A. & Kekec, Pinar, 2015. "The Role of Marketing Channels in Supply Chain Management," Journal of Retailing, Elsevier, vol. 91(4), pages 586-609.
    4. Ohmura, Shota & Matsuo, Hirofumi, 2016. "The effect of risk aversion on distribution channel contracts: Implications for return policies," International Journal of Production Economics, Elsevier, vol. 176(C), pages 29-40.
    5. Kim, Junyong & Wansink, Brian, 2012. "How Retailers’ Recommendation and Return Policies Alter Product Evaluations," Journal of Retailing, Elsevier, vol. 88(4), pages 528-541.
    6. Thanh Tran & Haresh Gurnani & Ramarao Desiraju, 2018. "Optimal Design of Return Policies," Marketing Science, INFORMS, vol. 37(4), pages 649-667, August.
    7. Anna G. Devlin & Wedad Elmaghraby & Rebecca W. Hamilton, 2018. "Why do suppliers choose wholesale price contracts? End-of-season payments disincentivize retailer marketing effort," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 212-233, March.
    8. Shouqiang Wang & Haresh Gurnani & Upender Subramanian, 2021. "The Informational Role of Buyback Contracts," Management Science, INFORMS, vol. 67(1), pages 279-296, January.
    9. Jeng, Shih-Ping, 2017. "Increasing customer purchase intention through product return policies: The pivotal impacts of retailer brand familiarity and product categories," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 182-189.
    10. Buqing Ma & Chenchen Di & Lu Hsiao, 2020. "Return Window Decision in A Distribution Channel," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2121-2137, September.
    11. Chen, Hao-Wei, 2023. "Improving supply quality through the store-initiated returns in wholesale supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    12. Yanju Zhou & Qian Chen & Xiaohong Chen & Zongrun Wang, 2014. "Stackelberg Game of Buyback Policy in Supply Chain with a Risk-Averse Retailer and a Risk-Averse Supplier Based on CVaR," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.

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