IMPROVING METHODS FOR ASSESSING THE EFFICIENCY OF LABOR RESOURCES IN THE CONTEXT OF DIGITALIZATION

Abstract

The digital transformation of the economy is fundamentally changing the nature of labor, organizational processes, and approaches to evaluating employee performance. Traditional methods of assessing labor-resource efficiency, which primarily rely on labor productivity, output per employee, and working-time indicators, are becoming insufficient for capturing the effects of digital technologies, employee competencies, and the changing structure of work. This article examines approaches to improving the assessment of labor-resource efficiency in the context of digitalization. Particular attention is given to the integration of labor productivity, digital competencies, technology utilization, working-time efficiency, human capital, and economic outcomes into a comprehensive assessment system. The study proposes a methodological approach based on a system of quantitative and qualitative indicators and the use of statistical and econometric methods. The proposed approach can improve the objectivity of labor-resource assessment, identify internal reserves for increasing productivity, and support more effective managerial decision-making in digitally transforming organizations.