ASSESSMENT OF THE LEVEL OF COMPETITIVENESS OF AGRICULTURAL ENTERPRISES ON THE BASIS OF NEURAL NETWORK MODELING

Author:

CHIKOV ILLYA1

Affiliation:

1. Vinnytsia National Agrarian University

Abstract

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.

Publisher

Vinnytsia National Agrarian University

Reference28 articles.

1. 1. Kaletnik, G.M., Honcharuk, H.S., & Dovhan, Yu.V. (2017). Investytsijno-innovatsijne zabezpechennia vyroschuvannia bioenerhetychnykh kul'tur ta vyrobnytstva biopalyv [Investment and innovation support for growing bioenergy crops and biofuel production]. Ekonomika, finansy, menedzhment: aktualni pytannia nauky i praktyky – Economics, finance, management: topical issues of science and practical activity, 1 (17), 7-18 [in Ukrainian].

2. 2. Honcharuk, I.V. (2013). Pidpryiemnytska diialnist iak innovatsijna systema rozvytku vyrobnytstva biopalyva [Entrepreneurial activity as an innovative system of biofuel production development]. Innovatsijna ekonomika – Innovative economy, 7, 45, 155-159 [in Ukrainian].

3. 3. Mesel-Veseliak, V.Ya. (2009). Napriamy zabezpechennia konkurentospromozhnosti ahrarnoho vyrobnytstva [Directions for ensuring the competitiveness of agriculture production]. Ekonomika APK – Economics of agro-industrial complex, 10, 7-14 [in Ukrainian].

4. 4. Fathudinov, R.A. (2000). Strategicheskij marketing [Strategic marketing]. Moscow: ZAO «Biznes-shkola «Intel-Sintez» [in Russian].

5. 5. Yermak, A.V. (2005). Konkurentnozdatnist pidpryiemstva: sutnist poniattia (problematyka pytannia) [Competitiveness of the enterprise: the essence of the concept (issues)]. Visnyk ekonomichnoi nauky Ukrainy – Bulletin of Economic Science of Ukraine, 1, 41-44 [in Ukrainian].

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