ECONOMIC AND MATHEMATICAL MODELING OF THE LEVEL OF MOTIVATION IN AGRICULTURAL ENTERPRISES

Abstract

Introduction. To date, the high turnover of staff, their aging and declining productivity in enterprises of the agricultural sector of the economy are studied. There is a need to assess the effectiveness and feasibility of the existing system of intangible incentives in terms of its importance to stabilize personnel policy, as well as identify areas for improvement of this system, offer tools for diagnosing staff motivation, build an econometric model, substantiate recommendations for improving intangible resources. Purpose. The aim of the article is to analyze publications that consider methods of motivating personnel of enterprises, the use of mathematical apparatus to calculate the integrated assessment of motivation of personnel of enterprises, construction and analysis of econometric model of intangible methods of motivating labor resources of agricultural enterprises of Dnepropetrovsk region. Method (methodology). The article uses the results of a survey of employees of agro-industrial enterprises; methods of correlation-regression analysis are used for the calculation of results as one of the main methods of scientific research; methods of mathematical modeling. Results. An econometric multifactor regression model of the indicator of integrated assessment of labor resources motivation of agro-industrial enterprises is constructed as a result of the research. There is a direct relationship between the state of the indicator and the assessments of employees on the components of intangible methods of motivation. The results of the calculations allowed us to conclude: an increase in the assessment of employees on the possibility of professional training by 1 point indicates an increase in the integrated assessment of the indicator by 0.998; the rise of the assessment of the possibility of career growth by 1 point enlarges the integrated assessment on 0.846; an increase in the score on the provision of soft loans by 1 point provides the going up in the integrated score by 0.587; increasing the assessment by the method of leisure incentives leads to the grow of the integrated assessment by 0.518; the rising assessment of employees for the provision of discounted meals by 1 point increases the integrated estimation by 0.605; increasing the scores on transport support and the possibility of recovery at the expense of the company by 1 point also brings up the integrated score by 0.471 and 0.603, respectively. The calculated correlation coefficients between each of the factors and the integrated indicator demonstrate a significant correlation and the influence of each factor on the integrated indicator. In this regard, it is necessary to continue to apply the methods of mathematical modeling, which allow to estimate not only the level of motivation, but also to develop and implement an effective mechanism for further development of labor resources in agricultural enterprises.