Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 16, 2023


Pages

2383-2392


DOI

Article

Statistical Analysis of Export Waybill Data of Cross-Border E-Commerce Based on ISM Model

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Authors

Dan Huang Affiliation:
Wuhan Donghu University, Wuhan, Hubei, 430212, China
and Li Li Affiliation:
Wuhan Donghu University, Wuhan, Hubei, 430212, China


Abstract

This paper uses the expository structural model (ISM) as the basis for research. Firstly, it briefly analyzes the business structure of our cross-border e-commerce and foreign trade business. The specific organizational structure of the enterprise will encounter a variety of interference. This paper constructs a set of enterprise supply chain performance evaluation indexes based on balanced scoring. The writing improves the information level, logistics ability, customer status maintenance, and other vital links. Simulation results show that this method can improve the overall performance of foreign trade documents.


Keywords

Cross-border e-commerce, Export waybill data, Supply chain flexibility, Interpretive structural model, 00A06


Citation

Huang, D. & Li, L. (2023). Statistical analysis of export waybill data of cross-border e-commerce based on ISM model. Applied Mathematics and Nonlinear Sciences, 8(1), 2383–2392. https://doi.org/10.2478/amns.2023.1.00419

Published by: Engineering Journals

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