Artificial Intelligence and Administrative Capacity in Public Administration: A Bibliometric and Scientometric Investigation into EU Project Planning and Fund Governance

Abstract

Purpose. Artificial Intelligence (AI) is transforming numerous sectors, including the public sector. Its adoption is critical for addressing challenges in managing European projects within public administration, especially for small and medium-sized entities. These organizations face significant difficulties in accessing and managing public funds, particularly European programs, due to limited resources, inadequate technical skills, and excessive bureaucracy. This study addresses a crucial gap in the literature: the lack of an in-depth analysis of AI's role in optimizing processes for identifying funding opportunities, project planning, and managing reporting activities. Methodology. A scientometric approach was employed to analyze 1,532 articles indexed in Scopus and Web of Science (2018–2024), coinciding with the European Alliance for Artificial Intelligence. The initial analysis identified publication trends, key disciplines, countries, influential journals, and contributors. Advanced exploration using VOSviewer examined academic collaboration networks, recurring keywords, and highly cited articles, forming the basis for a SWOT analysis. Findings. The SWOT matrix highlights strengths like operational efficiency and innovation potential, while weaknesses include limited technical expertise and poor system interoperability. Opportunities stem from technological advancements and digital transformation incentives, but threats include privacy concerns, security risks, and digital inequalities. A critical gap in the literature was identified: the lack of systematic studies on AI's application throughout the lifecycle of European project management. Originality and Practical Implications. This study innovatively combines scientometric analysis with qualitative insights to explore AI's application in public administration, emphasizing its role in managing European funds. The SWOT matrix provides actionable insights to enhance efficiency and effectiveness in designing, monitoring, and reporting funding projects