STOCHASTIC ANALYSIS AND OPTIMAL MANAGEMENT OF STAFF INCENTIVES IN A COMMERCIAL ORGANIZATION

Abstract

The article discusses the issues of research and assessment of the impact of quantitative parameters of material and social incentives for personnel on the financial results of the activities of commercial organizations, as well as issues of optimal management of these parameters. Stimulation of personnel acts as a tool that guides employees of the organization to achieve specific productive indicators of its activity that have value for the organization by strengthening the desired motives and reinforcing the required motivational structure in the team. Studying the influence of individual incentives on the motivation and performance of an organization is an important management task that provides information necessary for making decisions on improving the incentive system. Therefore, the paper substantiates the methodological tools for stochastic analysis, forecasting and programming the dependence of financial results of work on the quantitative values of individual stimulating factors based on the methods of regression and economic analysis, the index forecasting method. Also, a methodological toolkit for mathematical modeling and optimal decision-making on the prospective structure of quantitative parameters of the organization's personnel incentive system was developed on the basis of the obtained stochastic dependencies and linear programming methods. The article presents an example of mathematical formalization, practical implementation and economic interpretation of tools for stochastic analysis and optimal management of staff incentives based on the proceedings of an agricultural organization. The methods and tools for managing staff incentives described in the work can be used by business entities of various industries and spheres of activity when justifying the directions of restructuring the systems of motivation and incentives for personnel