Investigating the relationship of AI attitudes with attention and proactive behavior among employees in Karachi

Abstract

This study investigates the relationship between Artificial Intelligence (AI) attitudes, attention control and proactive behavior among employees in Karachi, Pakistan. With the increasing integration of AI technologies in organizational settings understanding employees’ psychological and behavioral responses has become essential. A quantitative correlational research design was employed using a cross-sectional survey method. Data were collected from 300 employees (150 males and 150 females) working in various industries in Karachi through standardized instruments: Artificial Intelligence Attitude Scale (AIAS-4), Attention Control Scale (ATTC) and Proactive Behavior Scale. Descriptive statistics and Pearson correlation analysis were applied to examine the relationship among variables. The results revealed a weak and non-significant relationship between AI attitudes and attention control (r = .105, p > .05). However, a statistically significant moderate positive relationship was found between AI attitudes and proactive behavior (r = .302, p < .05). Reliability analysis indicated acceptable to excellent internal consistency across scales (α ranging from .705 to .948). The findings suggest that while employees’ attitudes toward AI may not directly influence their attention levels but greater attention control is associated with enhanced proactive behavior. The study provides practical implications for organizations seeking to improve AI adoption through training, awareness and employee engagement strategies.