Impact of Artificial Intelligence on Recruitment Processes of Public Tertiary Institutions in Federal Capital Territory, Abuja, Nigeria

Abstract

The paper assessed the impact of AI on the recruitment process in public tertiary institutions in Nigeria. A descriptive survey research design was employed to collect data from a broad population. The population of this study consisted of all staff of all public tertiary institutions in FCT. A sample size of approximately 250 respondents was targeted, based on the Krejcie and Morgan sample size. The structured questionnaire was designed with both closed-ended questions. A pilot test was conducted with a small group of respondents from institutions outside the study area. Cronbach’s Alpha was applied to test the reliability of the questionnaire, with a benchmark of 0.84 and above considered acceptable. Descriptive statistics and inferential statistics were employed to analyze the data. The result shows that AI aids the recruitment process in public tertiary institutions in FCT by identifying the area of job need in the institutions, job analysis and job description, finding potential applicants through internal or external sources, application process, screening and shortlisting selection, selection process, reference and background checks, decision-making and job offer, and onboarding and orientation. The study also discloses that the problems militating against effective deployment of AI for the recruitment process include funding problems, inadequate infrastructure facilities, unstable power, poor quality of internet services, poor digital skills, and unstable electricity. Based on the findings, the study recommends that management of tertiary institutions in FCT should supply adequate AI facilities to the department of human resources for effective recruitment processes in the system.