ATTITUDE TOWARD ARTIFICIAL INTELLIGENCE (AI) AND ROLE ON WORKERS’ JOB INVOLVEMENT IN ANAMBRA STATE, NIGERIA

Abstract

This study examines Attitude Toward Artificial Intelligence (AI) and Role on Workers’ Job Involvement in Anambra State, Nigeria. Anchored in Social Cognitive Theory (SCT), the study investigates the predictive relationships among the study variables, with additional consideration of education level, work sector, and age. Using a factorial design, 220 participants (40 males, 180 females; mean age = 32.5 years) were recruited via cluster sampling and completed structured online questionnaires, including the AI Attitude Scale (AIAS), and Job Involvement Scale (JIS). Multiple Analysis of Variance (MANOVA) was employed to test hypotheses at p< 0.05 significance level. Findings revealed that positive attitudes toward AI significantly predicted higher job involvement (η² = 0.331, p < 0.000). Gender significantly moderated these relationships, with male employees showing stronger AI-related engagement than females (η² = 0.281, p < 0.000). However, interaction effects between gender and work sector significantly shaped perceptions of AI’s role in workplace efficiency. The implication of the study is that gender-inclusive in AI training programs enhances workplace policies that foster digital adaptability. Recommendations are highlighted to include integrating AI literacy into professional development initiatives, addressing gender disparities in technology acceptance, and promoting participatory AI implementation frameworks. The findings contribute to knowledge that workplace psychology and technology adoption facilitate employee engagement and productivity. By bridging technological advancements and human-centered workplace practices, this study provides a foundation for culturally adaptive AI policies that optimize both employee performance and satisfaction.