Assessment reveals trends in human resources competencies linked to economic digitalization impacts on the labor market.
Key Points
Digital competencies development is critical for aligning with labor market indicators and economic conditions, driving necessary changes in workforce skills.
Forecasting labor market trends until 2030 utilized regression and correlation analysis, exhibiting limitations in traditional model accuracy for most indicators.
Utilizing complex forecasting methods like ARIMA and machine learning improves understanding of nonlinear dependencies in economic digitalization.
Recommendations were made to enhance human resources competencies transformation addressing national priorities amid increasing macroenvironmental turbulence.