Issue №: 4 (58)
The journal deals with the issues of efficiency of functioning of the national economics and organizational forms of management of the national economy. Attention is paid to the problems of marketing, management and efficiency of production and economic activity of agrarian enterprises. The issues of public administration and administration, accounting and taxation, banking and insurance, forecasting and modeling of economic processes, foreign economic activity, commodity flows of economic entities and their infrastructure support.
ASSESSMENT OF THE LEVEL OF COMPETITIVENESS OF AGRICULTURAL ENTERPRISES ON THE BASIS OF NEURAL NETWORK MODELING
CHIKOV Illia – Postgraduate Student of the Fourth Year of Study of the Department of Computer Science and Economic Cybernetics, Vinnytsia National Agrarian University (21008, Vinnytsia, 3, Soniachna Str., e-mail: ilya_chikov@live.ru).
The article investigates the topical issue of quantitative assessment of the competitiveness of agricultural enterprises. In the framework of this work, it was determined that the specifics of agricultural enterprises do not allow the use of existing approaches to assessing the competitiveness that can be used for enterprises of other activities. Accordingly, the aim of the research was to develop an approach to quantifying the competitiveness of agricultural enterprises that would take into account the specifics of the enterprise, and which could be adapted to assess the effectiveness of other economic systems.
Based on the developed economic literature of Ukrainian and foreign scholars, an analysis of approaches to the interpretation of the concept of «competitiveness» as an economic category.
Due to the lack of a single interpretation of the economic characteristics of the enterprise as an «indicator of competitiveness», it was determined that the it should be considered as a latent characteristic, i.e., one that manifests itself on the «surface» of a set of lower factors. At the same time, an analysis of modern approaches to quantifying the competitiveness of enterprises was carried out.
The paper analyzes the approaches to quantifying the competitiveness of agricultural enterprises.The author’s neural network model of integrated assessment of competitiveness of agricultural enterprises was developed, which is based on the synthesis of principles of neural network modeling, methods of determining integrated indicators, work with latent indicators, taxonomy.
The calculations presented in this paper were performed in the environment of the author’s computer program «ASCO». The model of estimation of competitiveness of the agricultural enterprises is carried out. The analysis of the enterprise on the basis of simultaneous processing of primary factors and group factors with the subsequent analysis of quality of controllability of system is carried out. This approach allows for a comprehensive analysis of the enterprise in all areas of its activities.
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About journal
051 Economics
071 Accounting and taxation
072 Finance, banking and insurance
073 Management
075 Marketing
076 Business, trade and exchange activities
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The journal “Economy, finances, management: Topical issues of science and practice” is included in the "List of Scientific Professional Editions of Ukraine".
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It was founded in 1997 under the name "Bulletin of the Vinnytsia State Agricultural Institute". In 2010-2014 he was published under the title “Collection of scientific works of Vinnitsa National Agrarian University”.
From 2015 ”Economy, finances, management: Topical issues of science and practical activity” (Certificate of State Registration of Mass Media No. 21154-10954 of PR as of December 31, 2014)
The journal is the successor to the edition ”Collection of Scientific Papers of Vinnytsia National Agrarian University. Series: Economic Sciences. "
