Abstract
In the article the author highlights the need to use matrix methods in the strategic analysis of the industry. The main task of the article is to study the matrix methods, determine the advantages and disadvantages of these methods and justify the need to use them in the strategic analysis of the grain industry of Ukraine. The author focuses on the fact that today agriculture occupies a significant share in the formation of the country's GDP and export structure. The grain industry, as a component of the agricultural sector, provides food security and fills the country's budget with money. The author analyzes the indicators of the grain industry and points to its priority in agriculture. In recent years, Ukraine has been an important player in international grain trade, accounting for 12% of the world market. The use of modern methods of strategic analysis allows to ensure rapid adaptation to external conditions, reduce uncertainty and risk in economic activities and ensure the concentration of resources in selected priority areas. In the article shows that the use of matrix methods in the strategic analysis of the grain industry will determine the advantages and disadvantages of the grain market and choose the optimal direction of development. The main matrix models are characterized and the analysis of the domestic and world grain market according to the main matrices is carried out. In particular, SWOT-analysis was used to identify the strengths and weaknesses, opportunities and threats of the grain industry of Ukraine, BCG and McKinsey matrices were built to determine the attractiveness of the grain market. Different matrices and methods can be used separately or in combination to develop a strategy for the development of the grain industry of Ukraine. In general, the development of a strategy for the grain industry is an important tool for maintaining the country's leading position in the world market in the face of unpredictable changes in the environment and the growing number of competitors. The use of different matrix methods for effective strategic analysis of the grain industry will allow a broader study of different groups of competing and consumer countries.
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