MATHEMATICAL PARADIGM IN ASSESSING THE COMPETITIVENESS OF AN INDUSTRIAL ENTERPRISE

Abstract

Objective. Research and build mathematical models of indicators of the competitive position of an industrial enterprise that can be used for forecasting and corresponding comparative analysis. Methods. Modeling and comparative analysis of the competitive position of an industrial enterprise on the basis of extrapolation (determining the predictive value of factors affecting the competitive position of the enterprise). Identification of discrete time series (formation of a mathematical model of a discrete time series of the competitive position of an industrial enterprise).. Results. Analytical dependences on the competitive position of the enterprise and relevant factors of influence for the enterprises of the Kryvyi Rih region were built. The main components of the impact on competitiveness are analyzed: the volume of implementation; Net profit; market share on the product market; intensity of competition in the industry; the ratio of the market share of the analyzed enterprise to the market leader. For the first time, the identification of discrete time series was obtained in order to determine the competitive position of an industrial enterprise. The application of the extrapolation method made it possible to determine the forecast values of factors affecting the competitive position of the enterprise. Based on the identification of discrete time series, mathematical models of discrete time series of the competitive position of an industrial enterprise were built. The obtained research results are recommended to be applied in practical activities regarding the strategic management of an industrial enterprise in order to make effective decisions. The use of the identification of discrete time series will allow an appropriate assessment of the competitive position of the industrial enterprise and the relevant influencing factors.