IDEAS home Printed from https://ideas.repec.org/a/bla/popmgt/v30y2021i11p3849-3855.html
   My bibliography  Save this article

Beneficial Product Returns in Supply Chains

Author

Listed:
  • Meng Li
  • Yunchuan Liu

Abstract

Many retailers and manufacturers accept product returns from consumers (via money‐back guarantees) and retailers (via full‐credit return policies) respectively. While the extant literature focuses on either manufacturer or retailer return policies, this study investigates both return policies and finds that a manufacturer's return policy can induce the retailer to adopt a return policy. Although accepting consumer returns hurts the manufacturer when the manufacturer sells through non‐competing retailers, we find that the manufacturer is not destined to be hurt by accepting returns when selling to competing retailers that are differentiated in their returns rates.

Suggested Citation

  • Meng Li & Yunchuan Liu, 2021. "Beneficial Product Returns in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3849-3855, November.
  • Handle: RePEc:bla:popmgt:v:30:y:2021:i:11:p:3849-3855
    DOI: 10.1111/poms.13519
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/poms.13519
    Download Restriction: no

    File URL: https://libkey.io/10.1111/poms.13519?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Subhajyoti Bandyopadhyay & Anand A. Paul, 2010. "Equilibrium Returns Policies in the Presence of Supplier Competition," Marketing Science, INFORMS, vol. 29(5), pages 846-857, 09-10.
    3. Atalay Atasu & Miklos Sarvary & Luk N. Van Wassenhove, 2008. "Remanufacturing as a Marketing Strategy," Management Science, INFORMS, vol. 54(10), pages 1731-1746, October.
    4. Elie Ofek & Zsolt Katona & Miklos Sarvary, 2011. ""Bricks and Clicks": The Impact of Product Returns on the Strategies of Multichannel Retailers," Marketing Science, INFORMS, vol. 30(1), pages 42-60, 01-02.
    5. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    6. Santiago Gallino & Antonio Moreno, 2018. "The Value of Fit Information in Online Retail: Evidence from a Randomized Field Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 767-787, October.
    7. Keith J. Crocker & Paolo Letizia, 2014. "Optimal Policies for Recovering the Value of Consumer Returns," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1667-1680, October.
    8. 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.
    9. 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.
    10. Wei Huang & Vidyadhar Kulkarni & Jayashankar M. Swaminathan, 2008. "Managing the Inventory of an Item with a Replacement Warranty," Management Science, INFORMS, vol. 54(8), pages 1441-1452, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shen, Yinhai & Zhang, Qing & Zhang, Zhichao & Ma, Xinyu, 2022. "Omnichannel retailing return operations with consumer disappointment aversion," Operations Research Perspectives, Elsevier, vol. 9(C).
    2. Bingsheng Liu & Wenwen Zhu & Yinghua Shen & Yuan Chen & Tao Wang & Fengwen Chen & Maggie Wenjing Liu & Shi‐Hao Zhou, 2022. "A study about return policies in the presence of consumer social learning," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2571-2587, June.
    3. Yan Liu & Ningyuan Chen, 2022. "Dynamic Pricing with Money‐Back Guarantees," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 941-962, March.
    4. Li, Dan & Chen, Jing & Chen, Bintong & Liao, Yi, 2022. "Manufacturer’s contract choice and retailer’s returns management strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    5. Guo, Xiongfei & Chen, Jing, 2023. "Manufacturer’s quality improvement and Retailer’s In-store service in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    6. Fan, Huirong & Khouja, Moutaz & Gao, Jie & Zhou, Jing, 2023. "Incorporating social learning into the optimal return and pricing decisions of online retailers," Omega, Elsevier, vol. 118(C).

    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. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    2. Çerağ Pinçe & Mark Ferguson & Beril Toktay, 2016. "Extracting Maximum Value from Consumer Returns: Allocating Between Remarketing and Refurbishing for Warranty Claims," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 475-492, October.
    3. Borenich, Andrea & Dickbauer, Yanick & Reimann, Marc & Souza, Gilvan C., 2020. "Should a manufacturer sell refurbished returns on the secondary market to incentivize retailers to reduce consumer returns?," European Journal of Operational Research, Elsevier, vol. 282(2), pages 569-579.
    4. 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.
    5. Necati Ertekin & Jeffrey D. Shulman & Haipeng (Allan) Chen, 2019. "On the Profitability of Stacked Discounts: Identifying Revenue and Cost Effects of Discount Framing," Marketing Science, INFORMS, vol. 38(2), pages 317-342, March.
    6. Guangyong Yang & Guojun Ji & Kim Hua Tan, 2022. "Impact of artificial intelligence adoption on online returns policies," Annals of Operations Research, Springer, vol. 308(1), pages 703-726, January.
    7. Xu, Lei & Li, Yongjian & Govindan, Kannan & Xu, Xiaolin, 2015. "Consumer returns policies with endogenous deadline and supply chain coordination," European Journal of Operational Research, Elsevier, vol. 242(1), pages 88-99.
    8. Mandal, Prasenjit & Basu, Preetam & Saha, Kushal, 2021. "Forays into omnichannel: An online retailer’s strategies for managing product returns," European Journal of Operational Research, Elsevier, vol. 292(2), pages 633-651.
    9. Necati Ertekin & Anupam Agrawal, 2021. "How Does a Return Period Policy Change Affect Multichannel Retailer Profitability?," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 210-229, 1-2.
    10. Li, Tingting & Xie, Jinxing & Liu, Xin, 2020. "Consumer return policies in presence of a P2P market," Omega, Elsevier, vol. 97(C).
    11. Ren, Minglun & Liu, Jiqiong & Feng, Shuai & Yang, Aifeng, 2021. "Pricing and return strategy of online retailers based on return insurance," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Jin, Delong & Caliskan-Demirag, Ozgun & Chen, Frank (Youhua) & Huang, Min, 2020. "Omnichannel retailers’ return policy strategies in the presence of competition," International Journal of Production Economics, Elsevier, vol. 225(C).
    13. Zheyin (Jane) Gu & Giri K. Tayi, 2015. "Consumer mending and online retailer fit-uncertainty mitigating strategies," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 251-282, September.
    14. Ying-Ju Chen, 2011. "Optimal Selling Scheme for Heterogeneous Consumers with Uncertain Valuations," Mathematics of Operations Research, INFORMS, vol. 36(4), pages 695-720, November.
    15. Difrancesco, Rita Maria & Huchzermeier, Arnd & Schröder, David, 2018. "Optimizing the return window for online fashion retailers with closed-loop refurbishment," Omega, Elsevier, vol. 78(C), pages 205-221.
    16. Jeffrey D. Shulman & Marcus Cunha & Julian K. Saint Clair, 2015. "Consumer Uncertainty and Purchase Decision Reversals: Theory and Evidence," Marketing Science, INFORMS, vol. 34(4), pages 590-605, July.
    17. Gökçe Esenduran & Paolo Letizia & Anton Ovchinnikov, 2022. "Customization and Returns," Management Science, INFORMS, vol. 68(6), pages 4517-4526, June.
    18. Upender Subramanian & Jagmohan S. Raju & Z. John Zhang, 2013. "Exclusive Handset Arrangements in the Wireless Industry: A Competitive Analysis," Marketing Science, INFORMS, vol. 32(2), pages 246-270, March.
    19. Liao, Chen-Nan & Chen, Ying-Ju, 2019. "Role of exchangeable tickets in the optimal menu design for airline tickets," Omega, Elsevier, vol. 89(C), pages 151-163.
    20. Lin, Jiaxin & Choi, Tsan-Ming & Kuo, Yong-Hong, 2023. "Will providing return-freight-insurances do more good than harm to dual-channel e-commerce retailers?," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1225-1239.

    More about this item

    Statistics

    Access and download statistics

    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:bla:popmgt:v:30:y:2021:i:11:p:3849-3855. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956 .

    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.