Аuthors:

Ekaterina V. Orlova, Dr. Sc. (Engineering), Professor of Business Economics Dept. Ufa State Aviation Technical University

Abstract:

The processes of modernization and technological evolution have emphasized the problem of human capital development. The quality of human capital, including physical well-being, makes a significant contribution to the growth of workforce productivity. The paper examines the feasibility of investing in employees’ health in order to ensure the growth of labour productivity at enterprises, as well as develop techniques and models of such investment. The theories of human capital constitute the methodological basis of the study. The research methods used are economic-statistical modeling, cluster analysis and methods of managerial decision-making. The article examines statistical data of management and accounting reports of a large enterprise engaged in the electric power industry, as well as data from a survey of its employees. The study analyzes the existing approaches, methods and models to control employees’ health and labour productivity. It identifies a number of significant shortcomings inherent in the current approaches that limit the scope of their application: there are no quantitative methods for assessing how the level and state of health affect labor productivity and no methods for forming a set of managerial decisions aimed at increasing the efficiency of labor resources with respect to their quality. This necessitates the development of a new approach, technique and its supporting models that reflect the important features of enterprises’ socio-economic system, i.e. the high dynamics of the ongoing processes, the uncertainty of the internal and external environment, and employees’ inclination to distort information about their health. The theoretical significance of the study is due to the proposed technique for managing labor productivity based on stage-by-stage processing of quantitative and qualitative data and modeling, which takes into account objective data on economic, demographic, social factors and subjective data on the quality of employees’ health. The technique provides support for making managerial decisions when planning trajectories of labour productivity growth. The practical value of the study lies in the methodology for forming the profiles of employees’ groups with similar characteristics, and in the development of adequate solutions for each group that allow increasing labor productivity quickly and at minimum costs.

Keywords:

labour productivity; data analysis; clustering; labour productivity management; health condition; economic return on health.

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