Suppr超能文献

人工智能绿色金融体系下企业供应链大数据的可持续发展趋势。

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

机构信息

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

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

出版信息

J Environ Public Health. 2022 Oct 11;2022:3065435. doi: 10.1155/2022/3065435. eCollection 2022.

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 If an enterprise cannot acquire, organize, and use the information and data in the supply chain, it is likely to be outdated or even abandoned in the short term.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.

摘要

如今,随着互联网的飞速发展,社会已经进入了“信息爆炸”的时代。金融数据是网络信息中特别重要的一部分,其也达到了公众需求的新高度。“碳达峰”“绿色”等词汇的频繁出现,表明国家政策已经向可持续发展领域转变。可持续发展将成为必然选择,绿色供应链在这一政策背景下成为新潮流。供应链金融运用关键供应链管理思想和方法,为相关企业提供金融服务。如果企业不能获取、组织和使用供应链中的信息和数据,它很可能在短期内过时甚至被淘汰。本文以人工智能绿色金融体系为背景,运用合作理论模型对企业供应链的大数据信息进行分析和预测,实现了信息向企业可持续资源的转化,释放了大数据的巨大潜力。在这个模型中,该模型不仅帮助公司的整体利润增长了约 8.79%,还为企业决策提供了科学支持,推动了公司的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98c5/9578908/28d26d4ec366/JEPH2022-3065435.001.jpg

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