Abstract:
This study examines the influence of artificial intelligence (AI)–enabled recruitment systems on transparency in public sector hiring, with specific reference to the National Identity Management Commission (NIMC) in Nigeria. Recruitment transparency remains a critical governance issue in developing countries, where institutional challenges often undermine merit-based hiring. The study adopts a quantitative research design and primary data were collected from employees across NIMC offices in Cross River and Akwa Ibom States. Anchored on Institutional Theory, the study analyzes how AI-driven recruitment technologies enhance procedural consistency, reduce subjectivity, and improve accountability in personnel selection processes. Findings reveal that AI-enabled recruitment systems significantly improve transparency by standardizing candidate evaluation, minimizing human bias, and generating verifiable digital records of recruitment decisions. The study concludes that the integration of artificial intelligence in recruitment strengthens institutional credibility and supports merit-based hiring practices. It contributes to the literature on digital governance by providing empirical evidence from a developing country context and offers policy-relevant insights for improving transparency in public sector recruitment.
Keywords: Artificial intelligence, AI-enabled recruitment, transparency, human resource management, institutional theory
DOI: www.doi.org/10.36349/fujpam.2026.v5i01.013
author/Enya, Nnake Samuel
journal/FUJPAM Vol. 5, No. 1
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