Research Article
The Implications of U.S. Industry Assessment Methods for China's Industrial Competitiveness Assessment
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328676, author={Jingying Li and Andi Li and Fei Di and Ying Wang}, title={The Implications of U.S. Industry Assessment Methods for China's Industrial Competitiveness Assessment}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={industrial competitiveness; assessment; multi-attribute analysis; big data analytics}, doi={10.4108/eai.2-12-2022.2328676} }- Jingying Li
Andi Li
Fei Di
Ying Wang
Year: 2023
The Implications of U.S. Industry Assessment Methods for China's Industrial Competitiveness Assessment
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328676
Abstract
Competition and cooperation are the keynote of the future development of large countries, and building a solid industrial base and a resilient supply chain has become a key consider-ation for manufacturing powers to control industrial security and secure their competitive position. The U.S. approach to industrial base and supply chain assessment and risk identi-fication has become a set of horizontal and vertical, point and surface combination of a more complete methodological system after years of development. Through the in-depth study of the U.S. industrial base assessment method, it provides a new inspiration for Chi-na to establish an industrial base and industrial competitiveness assessment system. Through the use of big data analysis model to establish industrial competitiveness assess-ment model and enterprise multi-attribute platform architecture, it provides a fully quantita-tive assessment tool for enterprises to realize the shortcomings of the industry and strengthen the advantages of the longcomings.
