Latent Profile Analysis of AI Readiness, Digital Utilization at work, and Soft Skills Among University Graduates: Associations with Job Satisfaction and Well-Being

Key Points

• The study aims to classify university graduates into latent groups based on AI readiness, digital utilization, and soft skills, and analyze differences in job satisfaction and well-being among these groups.
• Utilized Korea Employment Education Panel (KEEP) student panel data (2024) for latent profile analysis.
• Employed BCH method to analyze group differences in job satisfaction and well-being.
• Four latent groups identified based on different levels of AI readiness, digital utilization, and soft skills.
• The highest job satisfaction was observed in the high AI readiness and digital utilization, low soft skills group.
• The group with high AI readiness and medium soft skills but low digital utilization reported the highest well-being.

Abstract