ADOPTION OF ARTIFICIAL INTELLIGENCE FOR IMPROVING ADMINISTRATIVE EFFICIENCY IN BUSINESS EDUCATION FACULTIES IN PUBLIC UNIVERSITIES IN EDO AND DELTA STATES

Abstract

This study examined the adoption of Artificial Intelligence (AI) for improving administrative efficiency in Business Education Faculties of selected public universities in Edo and Delta States, Nigeria. The study was motivated by persistent administrative inefficiencies in Nigerian universities despite global advancements in AI-driven higher education management systems. A descriptive survey research design was adopted. The population comprised academic and administrative staff from Business Education Faculties in the University of Benin (UNIBEN), Ambrose Alli University (AAU), Ekpoma, and Delta State University (DELSU), Abraka. A sample of 180 respondents was selected using stratified random sampling technique. Data were collected using a structured questionnaire titled “Artificial Intelligence and Administrative Efficiency Questionnaire (AIAEQ),” validated by experts and tested for reliability using Cronbach’s Alpha, yielding a coefficient of .82. Data were analyzed using mean and standard deviation. Findings revealed that the level of AI adoption in administrative tasks is low to moderate, with limited integration of advanced tools such as chatbots, predictive analytics, and data-driven decision systems. However, respondents strongly agreed that AI adoption enhances administrative efficiency by improving service delivery, accuracy of records, and communication systems and reducing workload. The study further identified major constraints to AI adoption, including poor ICT infrastructure, inadequate technical skills, high cost of implementation, resistance to change, and weak institutional policy frameworks. The study concluded that AI adoption in Nigerian business education faculties remains in a transitional stage, characterized by a gap between perceived usefulness and actual implementation. It recommended increased investment in ICT infrastructure, staff capacity building, institutional policy development, and strategic partnerships to enhance sustainable AI integration in university administration.