Hamza Alqudah

Papers

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About

Hamza Alqudah is a rising scholar at the intersection of artificial intelligence and public administration, whose work is reshaping how governments leverage technology for fiscal governance. His primary research focuses on the application of AI technologies—particularly machine learning algorithms—to enhance tax compliance and revenue collection systems. In his most cited work, "The impact of using types of artificial intelligence technology in monitoring tax payments" (2024, 11 citations), Alqudah provides a rigorous literature review that systematically examines how different AI tools can transform tax administration. This foundational paper maps the relationship between specific AI technologies and their effectiveness in monitoring tax payments, offering a critical framework for policymakers and tax authorities. By synthesizing emerging evidence on machine learning applications in fiscal contexts, Alqudah has established himself as a key voice in the growing field of AI-driven public sector innovation. His research holds particular significance for developing economies seeking to modernize tax collection while minimizing evasion. As one of the early contributors to this niche but vital area, Alqudah’s work continues to inform both academic discourse and practical implementation strategies for smarter, more efficient tax governance.