Construction of Information Health Assessment System for Small and Medium-Sized Enterprises Based on AI Diagnosis Model

Wanyu Li
Additional contact information
Wanyu Li: Beijing Mingtuo Information Consulting Co., Ltd., Shenzhen 518000, China

Frontiers in Management Science, 2025, vol. 4, issue 5, 75-81

Abstract: Empirical validation across 3 representative SMEs (manufacturing, logistics, software) shows that the system identifies 83% of hidden informatization issues, and targeted optimization plans improve overall health scores by 38.2% (from 52.6 to 72.7/100) within 6 months. Specifically: (1) Lanhui Machinery’s ERP integration rate increased from 42% to 89%, reducing production cycle by 23% (p

Keywords: small and medium-sized enterprises (SMEs); informatization health assessment; AI diagnostic model; machine learning; Delphi method; digital transformation; SHAP value; performance optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.paradigmpress.org/fms/article/view/1800/1634 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bdz:frmans:v:4:y:2025:i:5:p:75-81

DOI: 10.63593/FMS.2788-8592.2025.09.009

Access Statistics for this article

More articles in Frontiers in Management Science from Paradigm Academic Press
Bibliographic data for series maintained by Editorial Office ().