ADMINISTRATIVE ARTIFICIAL INTELLIGENCE AND SECRETARIAL STAFF JOB PERFORMANCE IN NIGERIAN COMMERCIAL BANKS: IMPLICATIONS FOR BUSINESS EDUCATION CURRICULUM

Abstract

This study investigated administrative artificial intelligence and secretarial staff job performance in Nigerian Commercial Banks: Implications for Business Education curriculum. The primary objectives of the study were to mathematically determine the individual predictive influence of robotic process automation, intelligent document processing systems, and automated customer interface applications on secretarial staff job performance within the regional financial sector. A quantitative survey research design was adopted, utilizing a census approach to gather, primary data from 56 secretarial and administrative staff deployed across six selected tech-forward commercial banks in Uyo metropolis. Data collection relied on a well-structured, Administrative Artificial Intelligence and Secretarial Staff Job Performance Questionnaire, validated by three experts and confirmed highly reliable through pilot testing, which yielded a strong internal consistency co-efficient of 0.78. Data analysis was driven exclusively by independent simple linear regression models to isolate each predictive pathway. The findings of the study revealed that all three dimensions of administrative artificial intelligence exert a statistically significant direct predictive influence on secretarial staff job performance, basically transforming traditional office workloads. The study concluded that administrative artificial intelligence dimensions exert significant influence on secretarial staff job performance. It was recommended, among others, that commercial banks operation managers in Uyo should launch structured, hands-on upskilling workshops for secretarial staff whenever   new automated scheduling systems are deployed to reduce user friction and cut down on operational data errors.