The Practice of Using the Discriminant Analysis of the Efficiency of Processes of Functioning of Agricultural Enterprises on the Basis of Indicators of the Constituent Parts of Performance

• Main Authors: Burennikova Nataliia V., Marchuk Lina M.
• Format: Article
• Language: English
• Published: Research Centre of Industrial Problems of Development of NAS of Ukraine 2018-02-01
• Series: Bìznes Inform
• Subjects: benchmarking; discriminant analysis; quantitative boundary of discrimination; efficiency of process; general; pure and large-scale products of process; scale; efficiency and effectiveness of process; model of Burennikova (Polishchuk) – Yarmolenko
• Online Access: http://www.business-inform.net/export_pdf/business-inform-2018-2_0-pages-135_141.pdf
• ISSN: 2222-4459; 2311-116X

The article considers the practice of using the method of discriminant analysis to study effectiveness of the processes of functioning of enterprises on the basis of indicators of the constituent parts of performance on the example of specific agricultural enterprises of the grain products subcomplex. It is underlined that when using benchmarking (as a method of competitive analysis) in many cases when researching the processes of functioning and development of enterprises (in particular, agricultural) there is a need to distribute the studied objects into individual groups according to the main strategic priorities. It is specified that one of the methods used for such distribution is the classic discriminant analysis, which allows to define the quantitative boundary that distinguishes the group of enterprises-leaders from all other enterprises. It has been found that the determining factor in the use of the specified method is the choice of a number of indicators characterizing the objects and processes allocated by using benchmarking. This choice, in turn, requires implementation of an appropriate algorithms based on simulation. As these indicators serve the authors’ indicators of efficiency and scale product, selected as the constituent parts of the performance indicator, characterizing any process and its results from both the qualitative and the quantitative points of view. The authors’ own approaches to the method of grouping of objects and allocation of strategically important groups among them have been proposed.