IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v29y2010i6p1071-1085.html
   My bibliography  Save this article

Optimal Reverse Channel Structure for Consumer Product Returns

Author

Listed:
  • Jeffrey D. Shulman

    (Department of Marketing, Michael G. Foster School of Business, University of Washington, Seattle, Washington 98109)

  • Anne T. Coughlan

    (Department of Marketing, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

  • R. Canan Savaskan

    (Information Technology and Operations Management Department, Cox School of Business, Southern Methodist University, Dallas, Texas 75275)

Abstract

Consumers often return a product to a retailer because they learn after purchase that the product does not match as well with preferences as had been expected. This is a costly issue for retailers and manufacturers--in fact, it is estimated that the U.S. electronics industry alone spent $13.8 billion dollars in 2007 to restock returned products [Lawton, C. 2008. The war on returns. Wall Street Journal (May 8) D1]. The bulk of these returns were nondefective items that simply were not what the consumer wanted. To eliminate returns and to recoup the cost of handling returns, many retailers are adopting the practice of charging restocking fees to consumers as a penalty for making returns. This paper employs an analytical model of a bilateral monopoly to examine the impact of reverse channel structure on the equilibrium return policy and profit. More specifically, we examine how the return penalty is affected by whether returns are salvaged by the manufacturer or by the retailer. Interestingly, we find that the return penalty may be more severe when returns are salvaged by a channel member who derives greater value from a returned unit. Also, the manufacturer may earn greater profit by accepting returns even if the retailer has a more efficient outlet for salvaging units.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormksc:v:29:y:2010:i:6:p:1071-1085
    DOI: 10.1287/mksc.1100.0578
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1100.0578
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1100.0578?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. 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.
    2. V. Padmanabhan & I. P. L. Png, 2004. "Reply to “Do Returns Policies Intensify Retail Competition?”," Marketing Science, INFORMS, vol. 23(4), pages 614-618, January.
    3. Kandel, Eugene, 1996. "The Right to Return," Journal of Law and Economics, University of Chicago Press, vol. 39(1), pages 329-356, April.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. 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.
    6. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    7. Gary H. Chao & Seyed M. R. Iravani & R. Canan Savaskan, 2009. "Quality Improvement Incentives and Product Recall Cost Sharing Contracts," Management Science, INFORMS, vol. 55(7), pages 1122-1138, July.
    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. Chuan He & Johan Marklund & Thomas Vossen, 2008. "—Vertical Information Sharing in a Volatile Market," Marketing Science, INFORMS, vol. 27(3), pages 513-530, 05-06.
    10. Hamilton Emmons & Stephen M. Gilbert, 1998. "Note. The Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods," Management Science, INFORMS, vol. 44(2), pages 276-283, February.
    11. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    12. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    13. Steven A. Matthews & Nicola Persico, 2005. "Information Acquisition and the Excess Refund Puzzle," PIER Working Paper Archive 05-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Eric T. Anderson & Karsten Hansen & Duncan Simester, 2009. "The Option Value of Returns: Theory and Empirical Evidence," Marketing Science, INFORMS, vol. 28(3), pages 405-423, 05-06.
    15. Anil Arya & Brian Mittendorf, 2004. "Using Return Polices to Elicit Retailer Information," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 617-630, Autumn.
    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. 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. 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.
    3. Gurnani, Haresh & Sharma, Arun & Grewal, Dhruv, 2010. "Optimal Returns Policy under Demand Uncertainty," Journal of Retailing, Elsevier, vol. 86(2), pages 137-147.
    4. Heiman, Amir & Just, David R. & McWilliams, Bruce P. & Zilberman, David, 2015. "A prospect theory approach to assessing changes in parameters of insurance contracts with an application to money-back guarantees," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 54(C), pages 105-117.
    5. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    6. 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.
    7. Li, Yongjian & Xu, Lei & Li, Dahui, 2013. "Examining relationships between the return policy, product quality, and pricing strategy in online direct selling," International Journal of Production Economics, Elsevier, vol. 144(2), pages 451-460.
    8. Eric T. Anderson & Karsten Hansen & Duncan Simester, 2009. "The Option Value of Returns: Theory and Empirical Evidence," Marketing Science, INFORMS, vol. 28(3), pages 405-423, 05-06.
    9. Zhao, Yingxue & Choi, Tsan-Ming & Cheng, T.C.E. & Sethi, Suresh P. & Wang, Shouyang, 2014. "Buyback contracts with price-dependent demands: Effects of demand uncertainty," European Journal of Operational Research, Elsevier, vol. 239(3), pages 663-673.
    10. 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.
    11. 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.
    12. Mehmet Gümüş & Saibal Ray & Shuya Yin, 2013. "Returns Policies Between Channel Partners for Durable Products," Marketing Science, INFORMS, vol. 32(4), pages 622-643, July.
    13. Lauren Skinner Beitelspacher & Thomas L. Baker & Adam Rapp & Dhruv Grewal, 2018. "Understanding the long-term implications of retailer returns in business-to-business relationships," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 252-272, March.
    14. Ülkü, M. Ali & Gürler, Ülkü, 2018. "The impact of abusing return policies: A newsvendor model with opportunistic consumers," International Journal of Production Economics, Elsevier, vol. 203(C), pages 124-133.
    15. Wenyan Zhou & Oliver Hinz, 2016. "Determining profit-optimizing return policies – a two-step approach on data from taobao.com," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 103-114, May.
    16. 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).
    17. Yalabik, Baris & Petruzzi, Nicholas C. & Chhajed, Dilip, 2005. "An integrated product returns model with logistics and marketing coordination," European Journal of Operational Research, Elsevier, vol. 161(1), pages 162-182, February.
    18. Rokonuzzaman, Md & Iyer, Pramod & Harun, Ahasan, 2021. "Return policy, No joke: An investigation into the impact of a retailer's return policy on consumers' decision making," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    19. J. He & K. S. Chin & J. B. Yang & D. L. Zhu, 2006. "Return Policy Model of Supply Chain Management for Single-Period Products," Journal of Optimization Theory and Applications, Springer, vol. 129(2), pages 293-308, May.
    20. 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.

    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:inm:ormksc:v:29:y:2010:i:6:p:1071-1085. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.