A Study on the Collaborative Optimization of E-commerce Logistics and Delivery Models

Authors

  • Xin Ye

DOI:

https://doi.org/10.54097/9e16sm14

Keywords:

E-commerce logistics, Delivery models, Collaborative optimization

Abstract

As China's e-commerce industry shifts from scale expansion to high-quality development, the core challenges in e-commerce logistics have evolved from mere delivery to issues of efficiency, cost, and service quality. Existing research has largely focused on horizontal comparisons between self-operated and platform-based franchise models, lacking a detailed analysis of the emerging trend toward the two-way integration of these dual models. Based on coordination theory and supplemented by case studies, this research analyzes the challenges of current e-commerce logistics delivery models, as well as the evolution of self-operated and franchise models from a polarized development pattern to a synergistic, two-way integration model. Ultimately, it proposes strategies for the coordinated optimization of delivery models. This study provides practical guidance for e-commerce logistics enterprises to overcome fulfillment bottlenecks and enriches the application scenarios of coordination theory in e-commerce logistics.

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References

[1] Zhang Mengjiao. Focusing on E-commerce Development: New Pathways for Enterprise Management Innovation [J]. China Business World, 2025, (21): 90-91.

[2] You Caihong. A Study on Bottlenecks in China's E-commerce Logistics and Delivery [J]. China Management Informatization, 2017, 20(05): 134-135.

[3] Li Junjing, Wan Ce, Jin Xitong. A Study on Logistics Cost Accounting for E-commerce Enterprises from a Supply Chain Collaboration Perspective [J/OL]. Accounting Friend, 2025, (S2): 93-98 [2025-12-16].

[4] Gu Yutong. A Study on the Collaborative Development of E-commerce and Logistics Enterprises in the Context of the Digital Economy [J]. Modernization of Commerce, 2025, (20): 25-27.

[5] Nie Yanfang, Liu Jinyun. Analysis of Problems and Countermeasures in JD.com's Self-Built Logistics System [J]. Marketing World, 2022, (10): 23-25.

[6] Zhou Jinhong. Research and Recommendations on the Cainiao Logistics Alliance Model [J]. China Storage & Transportation, 2023, (01): 177-178.

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Published

17-04-2026

Issue

Section

Articles

How to Cite

Ye, X. (2026). A Study on the Collaborative Optimization of E-commerce Logistics and Delivery Models. Frontiers in Business, Economics and Management, 23(1), 52-56. https://doi.org/10.54097/9e16sm14