Sustainable Trend of Big Data in Enterprise Supply Chain Under the Artificial Intelligence Green Financial System

Author:

Wu He1,Zhang Xuancheng2ORCID,Wang Yiqin3

Affiliation:

1. School of Economics, Jilin University, Changchun 130000, Jilin, China

2. Northeast Asian Studies College, Jilin University, Changchun 130000, Jilin, China

3. School of Marxism, Jilin Business University, Changchun 130000, Jilin, China

Abstract

Today, with the rapid development of the Internet, society has entered the era of “information explosion.” Financial data are a particularly important part of network information, and it has also reached a new level of public demand. The frequent appearance of words such as “carbon peak” and “green” indicates the transition of national policies to the field of sustainable development. Sustainable development would become an inevitable choice, and a green supply chain has become a new trend under this policy background. Supply chain finance uses the ideas and methods of key supply management to provide financial services to related enterprises. If an enterprise cannot acquire, organize, and use the information and data in the supply chain, it is likely to be outdated or even abandoned in the short term. This paper takes the artificial intelligence green financial system as the background and uses the cooperation theory model to analyze and predict the big data information of the enterprise supply chain. It realizes the transformation of information into sustainable resources for enterprises and releases the huge potential of big data. In this model, this model not only helped the company’s overall profit increase by about 8.79% but also provided scientific support for corporate decision-making and promoted the development of the company.

Publisher

Hindawi Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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3. Retracted: Sustainable Trend of Big Data in Enterprise Supply Chain Under the Artificial Intelligence Green Financial System;Journal of Environmental and Public Health;2023-07-26

4. Application of Artificial Intelligence in the Supply Chain Finance;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06

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