Volume 13, Issue 2A and 2B, 2025
Maximization of Artificial Intelligence Apps on Human Resources Management in Tertiary Institution: Implication to Educational Sector
Odunayo Henry Adewale
Abstract
The objective of this study is to carry out maximization of artificial intelligence
Apps on human resources management in tertiary institutions. Two research
hypotheses were formulated to guide the focus of this work as correlation
research design was used in this work. This design type allows one to
determine the nature of the relationship that exists between independent and
dependent variables. Human Resource Managers from Lagos State University
of Education and Yaba Technology, all in Epe, Lagos state. The population of
the study comprised all Human Resource Personnel as HRM from LASUED
and Yaba Tech all from Epe were used in this work. A sample of 150 HR
officers was selected using a simple random sampling technique. A closed
ended structured instrument, Questionnaire on Maximization of Artificial
Intelligence Apps on Human Resources Management in Tertiary Institution
(QMAIAHRMTI) was used in data collection. This instrument contains 15
close-ended items on a 4-Likert scale type. The instrument was validated and
affirmed to meet construct validity by 2 Human Resource personnel from
LASU. With the Cronbach-alpha form of reliability, the r-coefficient value of
0.886 was obtained meaning internal consistency was met. Correlation
analysis was used to analyse the data and tested at a significant level of 0.05
respectively. The result reveals that there is a significant relationship between
maximization of artificial intelligence apps and human resources management
in tertiary institutions. The study concluded that excessive use of these AI
Apps would render HRM useless in-service delivery shortly. Among others,
the study concluded that with the use of AI Apps, recruitment process,
appointment and promotion, staff training, and decision making among others
will experience quality manpower use.
Keywords
Human Resource Manager, Artificial Intelligence, Tertiary Institution, Self delivery, Apps
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