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.
Authors
- Junying Yuan (ORCID: https://orcid.org/0000-0003-0156-9373)
- Zhizhong Li
- Yun Xie (ORCID: https://orcid.org/0009-0005-5764-8056)
Institutions
- Nanfang Hospital (CN)
- Neusoft (China) (CN)
- Nanfang College Guangzhou
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