Nawaf Samah Thuneibat

Papers

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About

Dr. Nawaf Samah Thuneibat is a distinguished scholar whose research lies at the dynamic intersection of artificial intelligence, financial technology, and banking innovation. His most cited work, "Artificial Intelligence Applications and Financial Forecasting Accuracy in Banking Platforms: Evidence from Jordan" (2026), has garnered significant attention with 2 citations, establishing him as a leading voice in the digital transformation of financial systems. Dr. Thuneibat's major contribution lies in demonstrating how AI-driven decision-making systems can enhance the precision and reliability of financial forecasting within e-banking platforms, particularly in emerging markets like Jordan. His research provides critical evidence that machine learning algorithms can substantially improve data-based decision-making, offering banks a powerful tool to navigate the complexities of modern digital finance. By bridging the gap between theoretical AI applications and practical banking solutions, Dr. Thuneibat has provided actionable insights for financial institutions seeking to leverage technology for competitive advantage. His work is essential reading for students and researchers interested in the future of fintech, AI in finance, and the digitalisation of banking systems in developing economies.