IDEAS home Printed from https://ideas.repec.org/a/kap/qmktec/v13y2015i3d10.1007_s11129-015-9161-2.html
   My bibliography  Save this article

Consumer mending and online retailer fit-uncertainty mitigating strategies

Author

Listed:
  • Zheyin (Jane) Gu

    (University of Connecticut)

  • Giri K. Tayi

    (State University of New York at Albany)

Abstract

This study examines how online retailers operating in consumer markets characterized by consumer fit uncertainty such as apparel and accessories can mitigate such uncertainty through effective designs of return policies. We find that when consumers have the option to self-mend a product to assure a proper fit, an online retailer can devise its return policy to encourage or suppress consumer mending as a fit-uncertainty mitigating mechanism. First, our analysis shows that an online retailer benefits from easing the return policy and lowering the consumer return cost if the value of a good fit product is low, but benefits from tightening the return policy and maintaining a reasonable return cost for consumers if the value of a good fit product is high. Second, we find that in the parameter region where the value of a good fit product is high but not too high, a tightened return policy leads to a greater consumer surplus in addition to an increased retailer profit, suggesting a win-win situation and improved social efficiency. And even beyond this win-win region, the social welfare may still increase with tightened return policy when the gains in retailer profit or consumer surplus exceeds the loss of the other party. Finally, we show that when the value of a good fit product is sufficiently high, the capability of manipulating consumer mending as a fit-uncertainty mitigating mechanism allows a pure online retailer to earn a greater profit than a dual channel retailer that sells the product through both the online and the offline channels. Our theoretical insights provide explanations to many interesting practices in the online retailing industry.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:qmktec:v:13:y:2015:i:3:d:10.1007_s11129-015-9161-2
    DOI: 10.1007/s11129-015-9161-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11129-015-9161-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11129-015-9161-2?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zhang, Jie & Farris, Paul W. & Irvin, John W. & Kushwaha, Tarun & Steenburgh, Thomas J. & Weitz, Barton A., 2010. "Crafting Integrated Multichannel Retailing Strategies," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 168-180.
    2. 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.
    3. 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.
    4. Scott Fay & Jinhong Xie, 2008. "Probabilistic Goods: A Creative Way of Selling Products and Services," Marketing Science, INFORMS, vol. 27(4), pages 674-690, 07-08.
    5. Zheyin (Jane) Gu & Giri K. Tayi, 2015. "Research Note—Investigating Firm Strategies on Offering Consumer-Customizable Products," Information Systems Research, INFORMS, vol. 26(2), pages 456-468, June.
    6. 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.
    7. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    8. Bester, Helmut & Petrakis, Emmanuel, 1993. "The incentives for cost reduction in a differentiated industry," International Journal of Industrial Organization, Elsevier, vol. 11(4), pages 519-534.
    9. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
    10. 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.
    11. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    12. Sridhar Balasubramanian, 1998. "Mail versus Mall: A Strategic Analysis of Competition between Direct Marketers and Conventional Retailers," Marketing Science, INFORMS, vol. 17(3), pages 181-195.
    13. Yunchuan Liu & Sunil Gupta & Z. John Zhang, 2006. "Note on Self-Restraint as an Online Entry-Deterrence Strategy," Management Science, INFORMS, vol. 52(11), pages 1799-1809, November.
    14. Lewis, Tracy R & Sappington, David E M, 1994. "Supplying Information to Facilitate Price Discrimination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 309-327, May.
    15. 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.
    16. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    17. Heiman, Amir & McWilliams, Bruce & Zilberman, David, 2001. "Demonstrations and money-back guarantees: market mechanisms to reduce uncertainty," Journal of Business Research, Elsevier, vol. 54(1), pages 71-84, October.
    18. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
    19. Jinhong Xie & Steven M. Shugan, 2001. "Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell," Marketing Science, INFORMS, vol. 20(3), pages 219-243, June.
    20. Xubing Zhang, 2009. "Retailers' Multichannel and Price Advertising Strategies," Marketing Science, INFORMS, vol. 28(6), pages 1080-1094, 11-12.
    21. Robert, Jacques & Stahl, Dale O, II, 1993. "Informative Price Advertising in a Sequential Search Model," Econometrica, Econometric Society, vol. 61(3), pages 657-686, May.
    22. Scott Fay & Jinhong Xie, 2010. "The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling," Marketing Science, INFORMS, vol. 29(6), pages 1040-1057, 11-12.
    23. Huang, Wei & Swaminathan, Jayashankar M., 2009. "Introduction of a second channel: Implications for pricing and profits," European Journal of Operational Research, Elsevier, vol. 194(1), pages 258-279, April.
    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. Ionica Oncioiu & Iustin Priescu & Geanina Silviana Banu & Narcis Chirca, 2023. "Green Consumers’ Responses to Integrated Digital Communication in the Context of Multichannel Retail," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    2. Liu, Jiqiong & Yuan, Rui & Feng, Shuai, 2023. "Whether to offer return-freight insurance or open a physical showroom: A strategic analysis of an online retailer’s decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Li, Gang & Zhang, Tao & Tayi, Giri Kumar, 2020. "Inroad into omni-channel retailing: Physical showroom deployment of an online retailer," European Journal of Operational Research, Elsevier, vol. 283(2), pages 676-691.
    4. Lin Hao & Yong Tan, 2019. "Who Wants Consumers to Be Informed? Facilitating Information Disclosure in a Distribution Channel," Service Science, INFORMS, vol. 30(1), pages 34-49, March.
    5. Yuan, Mao & Pun, Hubert & Guan, Xu, 2022. "Information disclosure in a supply chain with copycat threat," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1018-1030.
    6. Zhang, Tao & Li, Gang & Tayi, Giri Kumar, 2023. "A strategic analysis of virtual showrooms deployment in online retail platforms," Omega, Elsevier, vol. 117(C).
    7. Sun, Chunhua & Fang, Yuan & Kong, Meng & Chen, Xiayu & Liu, Yezheng, 2022. "Influence of augmented reality product display on consumers’ product attitudes: A product uncertainty reduction perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    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. Christian F. Hirche & Tammo H. A. Bijmolt & Maarten J. Gijsenberg, 2022. "When Offline Stores Reduce Online Returns," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    10. Fan, Zhi-Ping & Chen, Zhongwei, 2020. "When should the e-tailer offer complimentary return-freight insurance ?," International Journal of Production Economics, Elsevier, vol. 230(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. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.
    2. 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.
    3. 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.
    4. Zheyin (Jane) Gu & Yunchuan Liu, 2013. "Consumer Fit Search, Retailer Shelf Layout, and Channel Interaction," Marketing Science, INFORMS, vol. 32(4), pages 652-668, July.
    5. Zhang, Tao & Li, Gang & Lai, Kin Keung & Leung, John W.K., 2018. "Information disclosure strategies for the intermediary and competitive sellers," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1156-1173.
    6. Wu, Meng & Teunter, Ruud H. & Zhu, Stuart X., 2019. "Online marketing: When to offer a refund for advanced sales," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 471-491.
    7. Fei Gao & Vishal V. Agrawal & Shiliang Cui, 2022. "The Effect of Multichannel and Omnichannel Retailing on Physical Stores," Management Science, INFORMS, vol. 68(2), pages 809-826, February.
    8. Zhong, Yuyun & Shen, Wenjing & Ceryan, Oben, 2023. "Information provision under showrooming and webrooming," Omega, Elsevier, vol. 114(C).
    9. 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).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    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. 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.
    16. 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.
    17. He, Bo & Gan, Xianghua & Yuan, Kaifu, 2019. "Entry of online presale of fresh produce: A competitive analysis," European Journal of Operational Research, Elsevier, vol. 272(1), pages 339-351.
    18. 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.
    19. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    20. 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.

    More about this item

    Keywords

    Fit uncertainty; Mending; Online retailing; Return policy;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:kap:qmktec:v:13:y:2015:i:3:d:10.1007_s11129-015-9161-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.