THE IMPACT OF DIGITAL TECHNOLOGY ON JOB ASPECTS OF WHITE - COLLAR EMPLOYEES

This thesis examines how AI-assisted digital technologies are reshaping the job characteristics of white-collar employees. Using the Work Design Questionnaire (WDQ) and a quantitative survey approach, the study investigates eight core job characteristics autonomy, job complexity, skill variety, task variety, feedback, specialization, social influence & enjoyment, and technical readiness & support across different job roles. Exploratory factor analysis and ANOVA reveal that managerial, technical, and analytical employees experience significantly higher levels of job enrichment in autonomy, skill and task variety, complexity, specialization, and technical readiness compared to support or early-career staff, while feedback and social enjoyment are more evenly distributed. These findings extend classic job design theories by demonstrating how AI adoption both enhances job resources and creates new challenges. The thesis concludes with recommendations for employee-centered job redesign, ongoing training, and inclusive digital transformation, providing actionable insights for practitioners and future researchers.