Technologies on Intelligent Financial Risk Early Warning in Higher Education Institutions: A Systematic Review

作者：Chao Yu, Nur Fazidah Elias, Yazrina Yahya, Ruzzakiah Jenal · 发表于：JOIV International Journal on Informatics Visualization · 年份：2024 · DOI：10.62527/joiv.8.3.1536 · 被引用次数：5 · 研究领域：Banking, Crisis Management, COVID-19 Impact、Safety and Risk Management、Impact of AI and Big Data on Business and Society

Financial risk early warning (FREW) is critical for developing Higher Educational Institutions (HEIs). This review uses the Systematic Literature Review (SLR) method to discuss the current research status, leading causes, early warning techniques, and algorithms of financial risk management in HEIs. Based on the WoS database, 139 articles meeting the research criteria were selected from 451 relevant literature for in-depth analysis. The results show that the current research on financial risk management in HEIs mainly focuses on developing risk identification, assessment, and early warning models. The primary sources of university financial risk include the instability of fundraising and distribution, decreased financial allocation, and intensified market competition. In response to these risks, scholars have proposed various early warning models and technologies, such as univariate, multivariable, and artificial neural network models, to predict and manage these risks better. In terms of methodology, this review provides a comprehensive perspective on the study of university financial risk through quantitative and qualitative analysis. This study reveals this field's main research trends and gaps through literature screening and cluster analysis. Finally, this study discusses the practical significance of financial risk management in HEIs, highlighting its role in the stability and growth of these institutions. It suggests future research directions, especially in improving ...