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Consumer returns reduction and information revelation mechanism for a supply chain

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  • Tiaojun Xiao

    (Nanjing University)

  • Jing Shi

    (Nanjing University)

Abstract

In this paper, we develop two revelation mechanism models of a supply chain consisting of one manufacturer and one retailer under asymmetric information, where the retailer provides store assistance (SA) to reduce consumer returns rate and increase demand. Under full information, we find that a higher returns rate or returns handling cost increases the SA level if the market scale is sufficiently high. In the demand information asymmetry model, we find that: (i) the low-type retailer (facing a low demand) has no incentive to distort demand information while the high-type retailer may report wrong information; (ii) the manufacturer would like to design a menu of wholesale price-order quantity contract to induce truthful demand information and the manufacturer pays an information rent to the high-type retailer if the returns rate or returns handling cost for the retailer is sufficiently low; (iii) asymmetry of information does not change the monotonicity of the unit wholesale price in the retailer’s type, and information asymmetry decreases the retail price but increases the SA level. Unlike the demand information asymmetry model, a higher retailer’s returns handling cost expands the effects of information asymmetry on the retail price and the SA level, and using revelation mechanism decreases the channel profit if the retailer’s returns handling cost is sufficiently high under the returns rate information asymmetry model.

Suggested Citation

  • Tiaojun Xiao & Jing Shi, 2016. "Consumer returns reduction and information revelation mechanism for a supply chain," Annals of Operations Research, Springer, vol. 240(2), pages 661-681, May.
  • Handle: RePEc:spr:annopr:v:240:y:2016:i:2:d:10.1007_s10479-014-1592-8
    DOI: 10.1007/s10479-014-1592-8
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    3. Weihua Liu & Wanying Wei & Xiaoyu Yan & Di Wang, 2019. "Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    4. 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.
    5. Yuan, Yichao & Xiao, Tiaojun, 2023. "Revelation mechanism and decoy strategy for a supply chain with consumer's perceived substitutability," Omega, Elsevier, vol. 120(C).
    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. Kateryna Lysenko-Ryba & Dominik Zimon, 2021. "Customer Behavioral Reactions to Negative Experiences during the Product Return," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    8. Guo, Xiaolong & Li, Xiansen & Bian, Junsong & Yang, Chenchen, 2023. "Deposit or reward: Express packaging recycling for online retailing platforms," Omega, Elsevier, vol. 117(C).

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