Research on Enterprise Financial Early Warning System Based on AIO Algorithm and Z-Score Model

This paper focuses on the study of an enterprise financial early warning system based on the AIO algorithm and the Z-score model. The AIO algorithm refers to a warning algorithm derived from the comprehensive analysis of an enterprise's general ledger (A), financial income (I), and financial expenditure (O). In today's rapidly developing global economy, accompanied by the swift advancement of computer and network technology, an increasing number of enterprises require financial software to manage and analyze their finances. Although there are already numerous financial management software systems on the market, it is uncommon to find systems that integrate financial early warning functions into existing enterprise financial management systems. The primary research objective and significance of this study are to combine these two aspects.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1145/3703187.3703209
Citations
1
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.95
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article

Research on Enterprise Financial Early Warning System Based on AIO Algorithm and Z-Score Model

Junying Yuan, Zhizhong Li, Yun Xie
1 citations
Financial Distress and Bankruptcy Prediction
0.95
article

Research on Enterprise Financial Early Warning System Based on AIO Algorithm and Z-Score Model

Junying Yuan, Zhizhong Li, Yun Xie
article en
1 citations

Abstract

This paper focuses on the study of an enterprise financial early warning system based on the AIO algorithm and the Z-score model. The AIO algorithm refers to a warning algorithm derived from the comprehensive analysis of an enterprise's general ledger (A), financial income (I), and financial expenditure (O). In today's rapidly developing global economy, accompanied by the swift advancement of computer and network technology, an increasing number of enterprises require financial software to manage and analyze their finances. Although there are already numerous financial management software systems on the market, it is uncommon to find systems that integrate financial early warning functions into existing enterprise financial management systems. The primary research objective and significance of this study are to combine these two aspects.

Nanfang Hospital (CN), Neusoft (China) (CN), Nanfang College Guangzhou
Openalex Percentile: Top 17%
Financial Distress and Bankruptcy Prediction
0.95
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Research on Enterprise Financial Early Warning System Based on AIO Algorithm and Z-Score Model — Junying Yuan, Zhizhong Li, et al. · (2024) | TGRS Research Map | TGRS