Author(s)

Jincen Han ¹

Affiliation(s)

¹ Nanchong Vocational and Technical College, Nanchong, Sichuan, China

Corresponding Author

Jincen Han

ABSTRACT

Science and technology have been greatly developed in today's era, especially the application of artificial intelligence data, which has caused the society to pay more attention to the ecological financial management in the green environment of e-commerce. From 2018 to 2021, small and medium-sized enterprises were selected as research samples, and the RS (Rough Sets)-artificial intelligence model and the classic Logistic model were comprehensively, and this paper systematically compares and analyzes the early warning accuracy of ecological financial management of enterprises under the green environment of e-commerce in China. It was concluded that the RS-artificial intelligence model was more accurate for the early warning degree of ecological financial management, and the artificial intelligence single classifier was introduced to the existing financial crisis to establish the ecological financial management early warning model. The early warning model of ecological financial management analysis of ecological enterprises based on artificial intelligence data analysis of e-commerce green environment highlighted the advantages of using artificial intelligence data models to analyze the ecological financial management of enterprises with stronger objectivity and interpretability. At the same time, it had a high early warning accuracy rate of 98%, which was 17% higher than that without the use of artificial intelligence data algorithms.

KEYWORDS

E-Commerce Environment; Ecological Financial Management; Artificial Intelligence Data; Financial Warning

CITE THIS PAPER

Jincen Han, Ecological Financial Management of Artificial Intelligence Data E-Commerce Green Environment. Accounting, Auditing and Finance (2025) Vol. 6: 102-110. DOI: http://dx.doi.org/10.23977/accaf.2025.060114.

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