ARTIFICIAL INTELLIGENCE–DRIVEN TRAINING SYSTEMS AND EMPLOYEE COMPETENCE IN PUBLIC SECTOR ADMINISTRATION: EVIDENCE FROM THE NATIONAL IDENTITY MANAGEMENT COMMISSION (NIMC), NIGERIA

Abstract

The integration of artificial intelligence (AI) into workforce development has introduced new opportunities for enhancing employee competence in modern organizations. In public sector administration, the effectiveness of service delivery is closely linked to the capacity and competence of employees. However, traditional training systems often lack adaptability, personalization, and responsiveness to evolving technological and administrative demands. This study examines the influence of artificial intelligence–driven training systems on employee competence, with specific reference to the National Identity Management Commission (NIMC) in Nigeria.The study adopts a quantitative research design and utilizes survey data collected from employees across NIMC offices in Cross River and AkwaIbom States. Drawing on Institutional Theory and the Technology–Organization–Environment (TOE) framework, the study analyzes how AI-enabled training systems support skill development, enhance learning efficiency, and improve workforce adaptability within public sector institutions.Findings indicate that artificial intelligence–driven training systems significantly enhance employee competence by enabling personalized learning, identifying skill gaps, and supporting continuous professional development. The results further show that AI technologies improve employees’ ability to adapt to digital administrative systems and contribute to overall institutional performance.The study contributes to the literature on digital governance and human resource development by providing empirical evidence from a developing country context. It also offers policy-relevant insights for the adoption of AI-driven training systems as part of broader administrative modernization strategies in public sector institutions

Keywords: Artificial intelligence, AI-driven training, employee competence, public sector administration, digital governance

DOI: www.doi.org/10.36349/fujpam.2026.v5i01.006

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author/Enya, Nnake Samuel

journal/FUJPAM Vol. 5, No. 1