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Consumer mending and online retailer fit-uncertainty mitigating strategies

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  • Zheyin Gu
  • Giri Tayi

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. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Zheyin Gu & Giri 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:p:251-282
    DOI: 10.1007/s11129-015-9161-2
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    Cited by:

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    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. 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).

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    More about this item

    Keywords

    Fit uncertainty; Mending; Online retailing; Return policy; M31;
    All these keywords.

    JEL classification:

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

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