IMPACT OF AI-DRIVEN ADMINISTRATIVE SYSTEM ON ORGANIZATIONAL PERFORMANCE IN NIGERIA

Rahila Elisha Zacharia

National Research Institute for Chemical Technology Yola, Nigeria

Email: talk2rahila2000@gmail.com

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has redefined administrative processes across organizations globally, with growing interest in its application within developing countries such as Nigeria. This study investigated the impact of AI-driven administrative technology on organizational performance in Nigeria. Four research objectives guided the study. Correspondingly, four research questions and three null hypotheses were formulated. The study adopted a descriptive survey research design. A multi-stage sampling technique was used to select 200 administrative staff from 10 organizations across Nigeria’s six geopolitical zones. Data were collected using a structured instrument titled AI-Driven Administrative Technology Impact Questionnaire (AIDATIQ), which was validated by experts and tested for reliability using Cronbach’s alpha ( = 0.86). Descriptive statistics (mean and standard deviation) were used to answer the research questions, while regression analysis tested the hypotheses at a 0.05 significance level using SPSS version 25. Findings revealed that AI technologies were moderately adopted, primarily for internal operations such as document management and attendance tracking. AI was found to significantly enhance administrative efficiency by reducing task completion time, minimizing human error, and improving scalability. AI also positively influenced decision-making, especially in providing real-time insights and forecasting, though some areas like risk assessment showed lower trust. Additionally, challenges such as poor infrastructure, high implementation costs, low technical capacity, and internet limitations were found to significantly hinder AI implementation. Based on these findings, it was concluded that while AI held substantial potential to improve administrative performance in Nigerian organizations, its full benefits are limited by contextual challenges. It was recommended that investments in digital infrastructure, staff training, progressive integration of AI systems, and the development of clear policy frameworks to guide ethical and effective implementation.

Keywords: Artificial Intelligence, Administrative System, Organizational Performance, AI Adoption, Decision-Making, Administrative Efficiency.