Research on Crowdsourcing Distribution Model of Community E-commerce Logistics Development

Authors

  • Chunli Li

DOI:

https://doi.org/10.54097/ajmss.v2i3.8753

Keywords:

Community Logistics, Crowdsourced Delivery Model, Platform Design

Abstract

This paper provides an overview of the concept and characteristics of community e-commerce logistics, crowdsourcing logistics, existing models and the current situation and problem analysis of community logistics development, analyzes the necessity and feasibility of developing crowdsourcing distribution model for community e-commerce logistics, designs a crowdsourcing distribution platform for community e-commerce logistics from the perspective of considering security, reliability and flexibility, and proposes measures such as information risk guarantee, quality risk guarantee, security risk guarantee, capital risk guarantee and legal risk guarantee, in order to provide reference and reference for the study of community e-commerce logistics crowdsourcing distribution model. It also proposes measures such as information risk protection, quality risk protection, security risk protection, capital risk protection and legal risk protection to provide reference and reference for the research on the crowdsourcing delivery model of community e-commerce logistics, with a view to promoting the development of community e-commerce logistics delivery and improving the competitiveness of community e-commerce logistics.

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References

Chen, D. (2008). On the Development and Exploration of Community Logistics. modern Logistics, (5), 47-49.

Liu, X. (2017). Development status and prospects of "Internet + community" terminal logistics model. Business Economics Research, (2), 100-102.

Wang, J., & Li, H. (2019). Research on the Current Situation and Development Trend of Crowdsourcing Logistics. Logistics Technology and Application, (6), 25-27.

Li, X. (2017). Feasibility analysis of postal development of crowdsourcing logistics. China Post, (07), 42-43.

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Xu, Y. (2018). Research on Logistics Distribution Mode Based on Crowdsourcing. logistics Technology, (11), 29-31.

Jiang, S., & Zhu, Y. (2019). Analysis of the Characteristics and Development Trends of Crowdsourcing Logistics. Logistics Technology, (11), 146-148.

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Published

20-05-2023

Issue

Section

Articles

How to Cite

Li, C. (2023). Research on Crowdsourcing Distribution Model of Community E-commerce Logistics Development. Academic Journal of Management and Social Sciences, 2(3), 143-148. https://doi.org/10.54097/ajmss.v2i3.8753