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  • chapterNo Access

    Research on Cross-border E-commerce Logistics Mode in Countries Along the Belt and Road

    The logistics mode selection has always been one of the main problems that plagued the cross-border e-commerce industry. Among the existing modes, the overseas warehouse is recognized as an ideal cross-border e-commerce logistics mode, but there are few studies on whether they are suitable for establishing overseas warehouses for specific countries and regions. This paper studies the countries along the “Belt and Road” for this issue. Firstly, the potential export scale of China’s cross-border e-commerce to countries is analyzed by constructing the evaluation index system and the CRITIC method. Then the logistics performance index is used to measure the logistics capability level of each country. And then, the K-means clustering method is used to conduct a cluster analysis on the “Belt and Road” countries from the above two aspects. Finally, the cross-border e-commerce logistics mode tactics are proposed; that is, based on regional division, we can select the first and second-class countries to set up overseas warehouses and radiate other countries in the region through international express and other logistics modes.

  • chapterNo Access

    Research on Evaluating the Digital Transformation Capability of Logistics Based on Structure Entropy Weight Method

    In the era of Industrial Revolution 4.0, digital transformation has become an important strategic choice for the development of logistics. In order to comprehensively evaluate the digital transformation capability of logistics, this paper analyzes the influencing factors and constructs an evaluation index system from five aspects. Then, the index weight is calculated by the structure entropy weight method, the evaluation score is obtained by the Delphi method, and the evaluation results are divided into five categories. Finally, an example is given to illustrate how the proposed evaluation method can effectively support digital transformation logistics decisions.