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Offering return-freight insurance or not: Strategic analysis of an e-seller's decisions

Author

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  • Chen, Zhongwei
  • Fan, Zhi-Ping
  • Zhao, Xuan

Abstract

In an attempt to encourage consumers to buy products online, many e-sellers buy return-freight insurance (RI) for them (consumers are compensated for return-freight fees after returning products). The type of the e-seller is determined by the selling format that exists between an e-commerce platform and a manufacturer: the reselling format where the manufacturer sells products to the platform, which then sells to consumers, and the agency selling format where the manufacturer sells products to consumers directly through the platform. Correspondingly, there are four scenarios to evaluate: an e-seller offering or not offering RI in the two selling formats. We obtain several important findings. First, even if RI is offered, the e-seller will not necessarily increase the retail price, unless the loss caused by per-unit return (per-unit return loss) incurred by the e-seller is moderate. Second, in the agency selling format, offering RI may narrow the consumer market, which is contrary to the e-seller's purpose. In addition, this strategy always leads to more returns and a higher return rate. Finally, when the per-unit return loss is low or high, the e-seller in the reselling format can always benefit from offering RI. When the per-unit return loss is at a moderate level, as the per-unit return loss increases, the e-seller's preference, affected by the RI premium, will evolve from not offering RI, to offering it, and then not offering it. In contrast to the reselling format, the e-seller in the agency selling format needs to utilize the strategy of offering RI more flexibly, however. This is reflected by the fact that as the per-unit return loss increases, the optimal strategy has more conversions between offering and not offering RI.

Suggested Citation

  • Chen, Zhongwei & Fan, Zhi-Ping & Zhao, Xuan, 2021. "Offering return-freight insurance or not: Strategic analysis of an e-seller's decisions," Omega, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:jomega:v:103:y:2021:i:c:s0305048321000566
    DOI: 10.1016/j.omega.2021.102447
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    3. Zhao, Ying & Guan, Zhi-min & Zhang, Jun, 2023. "Return freight strategies and selling formats in e-commerce supply chain: The perspective of consumer fairness concerns and online shopping returns," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
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    5. 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.
    6. Li, Xiaoxiao & Gao, Jie & Bian, Yiwen, 2023. "Return freight insurance strategies for the online retailer and insurance company," International Journal of Production Economics, Elsevier, vol. 256(C).
    7. Zhang, Zhichao & Xu, Haiyan & Zhao, Yingxue & Liu, Zhi & Chen, Kebing, 2023. "Extended warranty service provision: A strategic analysis for the E-commerce platform supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    8. 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).
    9. Chen, Zhongwei & Fan, Zhi-Ping & Zhu, Stuart X., 2023. "Extracting values from consumer returns: The role of return-freight insurance for competing e-sellers," European Journal of Operational Research, Elsevier, vol. 306(1), pages 141-155.
    10. 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).
    11. Yang, Guangyong & Ji, Guojun, 2022. "The impact of cross-selling on managing consumer returns in omnichannel operations," Omega, Elsevier, vol. 111(C).
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