A proposed AI-Based Approach to Improving Fiscal Performance | ||||
| المجلة العلمية للبحوث والدراسات التجارية | ||||
| Volume 39, Issue 2, June 2025, Page 1745-1773 PDF (437.19 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/sjrbs.2025.334855.1817 | ||||
 View on SCiNiTO | ||||
| Author | ||||
هيثم خليفة 
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| كلية تجارة وادارة اعمال جامعة حلوان | ||||
| Abstract | ||||
| Modern technologies, such as (Big Data analytics, AI, Blockchain, etc.) have emerged to keep pace with the needs of society and companies that provide products and services of various kinds. The interest in data quality and employment information to extract practical knowledge has increased to help transform people’s lives in businesses, industry, government, and services. Moreover, the world is experiencing turbulent times, with multiple threats such as COVID-19 and related social and political conflicts. The pandemic has posed significant challenges for governments and their citizens worldwide. In developing countries, the financial sector has already applied FMIS and Performance-based Budgets to ensure proper scrutiny of budget estimates and to ensure (the accuracy, effectiveness, and efficiency) of government revenues and expenditures. However, it cannot face the financial obstacles resulting from external crises. Therefore, we explored the studies that provide a novel early warning to strengthen financial management to face these difficulties by exploiting Data Science and AI Techniques. We also suggested developing an FMIS by adding a data-driven approach that enhances prediction and control for financial management. | ||||
| Keywords | ||||
| Financial Management; Enterprise System; Financial Information System; Artificial Intelligence | ||||
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