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B2C cross-border E-commerce logistics mode selection considering product returns

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  • Xiaohuan Wang
  • Jingchao Xie
  • Zhi-Ping Fan

Abstract

Long delivery lead times and costly transportation postage are significant characteristics of B2C cross-border e-commerce and logistics. They engender preference inconsistencies and reversals in customers, which can lead to product returns. The aim of this study is to enable retailers to select the optimal cross-border logistics mode that fulfils their marketing strategies while taking product returns into consideration. We propose a novel way to describe customer utility by incorporating customer time preferences, and construct three cross-border logistics models. The theoretical and numerical analyses indicate that, if retailers want to eliminate or reduce their product return rates, they can adjust their delivery lead times in each logistics mode under various product procurement and sales prices, commodity tariffs, international and domestic postage and operating costs. In particular, the O2O mode is always a better option for retailers than the O2D mode, and under certain conditions, the D2D mode is better for retailers than the O2O mode. To increase market demand, the O2O mode is optimal for retailers selling high-priced products, while the O2D mode is optimal for retailers selling low-priced products. This study also provides suggestions for overseas manufacturers. These findings are applicable to B2C cross-border e-commerce, cross-border logistics, and overseas production.

Suggested Citation

  • Xiaohuan Wang & Jingchao Xie & Zhi-Ping Fan, 2021. "B2C cross-border E-commerce logistics mode selection considering product returns," International Journal of Production Research, Taylor & Francis Journals, vol. 59(13), pages 3841-3860, July.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:13:p:3841-3860
    DOI: 10.1080/00207543.2020.1752949
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    Citations

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    Cited by:

    1. Anaf Abdulkarem & Wenhua Hou, 2022. "The Influence of the Environment on Cross-Border E-Commerce Adoption Levels Among SMEs in China: The Mediating Role of Organizational Context," SAGE Open, , vol. 12(2), pages 21582440221, June.
    2. Chen Zhang & Taisheng Gong, 2023. "RETRACTED ARTICLE: The brand strategy and cross-border promotion of Han Chinese clothing under the digital economy," Electronic Commerce Research, Springer, vol. 23(1), pages 257-277, March.
    3. Xu, Yuqiu & Wang, Jia & Cao, Kaiying, 2024. "Dynamic joint strategy of channel encroachment and logistics choice considering trade-in service and strategic consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    4. Lynn Huang, 2024. "Evolving E-commerce Logistics Planning- Integrating Embedded Technology and Ant Colony Algorithm for Enhanced Efficiency," Papers 2402.15965, arXiv.org.
    5. Zhang, Xumei & Zha, Xiaoyu & Dan, Bin & Liu, Yi & Sui, Ronghua, 2024. "Logistics mode selection and information sharing in a cross-border e-commerce supply chain with competition," European Journal of Operational Research, Elsevier, vol. 314(1), pages 136-151.
    6. 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).

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