Affiliation:
1. King Khalid University, Saudi Arabia
Abstract
In the contemporary business landscape, enterprises grapple with the pursuit of marginal profits, recognizing that the bedrock of their success lies in financial sustainability. Consequently, the mitigation or prevention of business financial risks (BFR) emerges as a pivotal factor in enhancing firms' profitability prospects. Various technological strategies are employed to address the challenges posed by financial risks, with machine learning (ML) standing out as a particularly pertinent and effective solution across diverse business sectors. In the current milieu, the significance and efficacy of ML are keenly acknowledged, with businesses leveraging this cutting-edge technology to tackle challenges associated with BFR.
Reference35 articles.
1. The impact of green lending on credit risk: evidence from UAE’s banks
2. Naim, A. (2022). Benefits of Artificial Intelligence (AI) in Financial Practices. International Journal of Studies in Business Management, Economics and Strategies, 1, 1–12. https://scholarsdigest.org/index.php/bmes/article/view/7
3. Competitive Trends and Technologies in Business Management
4. Machine learning techniques for credit risk evaluation: a systematic literature review
5. The use of machine learning combined with data mining technology in financial risk prevention.;B.Gao;Computational Economics,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献