TALENT MANAGEMENT STRATEGIES IN THE GIG ECONOMY: AN ANALYTICAL APPROACH WITH REGRESSION ANALYSIS

Abstract

The gig economy has significantly altered employment frameworks, necessitating innovative talent management strategies. This study employs an analytical approach to explore HR challenges and opportunities in managing gig workers. A dataset of 100 gig workers is analyzed using regression techniques to determine key factors influencing workforce engagement and retention. The results indicate that pay structure, job flexibility, and access to training significantly impact worker retention. Additionally, findings reveal that gig workers prioritize autonomy and skill enhancement opportunities over traditional job security, requiring HR professionals to rethink workforce management strategies. This research highlights the necessity for adaptive HR policies that integrate gig workers effectively, ensuring both organizational competitiveness and workforce satisfaction. The study concludes with actionable recommendations for businesses to optimize gig workforce retention through competitive compensation, flexible work arrangements, and continuous learning initiatives. Future research directions are suggested to further explore industry-specific challenges and evolving trends in gig economy workforce management.