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Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector

The objective of this study is to develop a comprehensive approach to agricultural enterprise clustering that will allow us to diagnose their market position and identify integration opportunities to increase production outputs. Cluster analysis is used as the methodology in this study. The study an...

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Glavni autori: Syromyatnikov, D. A., Сыромятников, Д. А.
Format: Статья
Jezik:English
Izdano: 2023
Teme:
Online pristup:https://dspace.ncfu.ru/handle/20.500.12258/23482
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spelling ir-20.500.12258-234822024-02-28T14:47:21Z Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector Syromyatnikov, D. A. Сыромятников, Д. А. Cluster analysis Technology Region Agriculture Competitiveness Efficiency Modelling The objective of this study is to develop a comprehensive approach to agricultural enterprise clustering that will allow us to diagnose their market position and identify integration opportunities to increase production outputs. Cluster analysis is used as the methodology in this study. The study analysed 44 agricultural enterprises in Russia. Based on the cluster analysis, four groups of homogeneous agricultural enterprises with diverse activities that are significant in the given economic market segment were identified, within which the mean and limit values of clustering indicators were calculated. We were able to highlight the characteristics of each group of companies thanks to the clustering. The leader cluster was identified, which has a high number of personnel and performance indicators that are above the mean. This cluster’s enterprises are industry leaders; they cover a large territory in Russia; they engage in technological, innovative, logistical, and international activities; and they have a high level of strategic planning and management. This generalised characterisation enabled us to compare the main criteria of the clusters, allowing us to identify the field of strategic action to improve production outputs. 2023-05-23T14:09:18Z 2023-05-23T14:09:18Z 2024 Статья Huseynov, R., Aliyeva, N., Bezpalov, V., Syromyatnikov, D. Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector // Environment, Development and Sustainability. - 2024. - 26 (2). - pp. 4119-4132 - DOI: 10.1007/s10668-022-02873-8 http://hdl.handle.net/20.500.12258/23482 en Environment, Development and Sustainability application/pdf application/pdf
institution СКФУ
collection Репозиторий
language English
topic Cluster analysis
Technology
Region
Agriculture
Competitiveness
Efficiency
Modelling
spellingShingle Cluster analysis
Technology
Region
Agriculture
Competitiveness
Efficiency
Modelling
Syromyatnikov, D. A.
Сыромятников, Д. А.
Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
description The objective of this study is to develop a comprehensive approach to agricultural enterprise clustering that will allow us to diagnose their market position and identify integration opportunities to increase production outputs. Cluster analysis is used as the methodology in this study. The study analysed 44 agricultural enterprises in Russia. Based on the cluster analysis, four groups of homogeneous agricultural enterprises with diverse activities that are significant in the given economic market segment were identified, within which the mean and limit values of clustering indicators were calculated. We were able to highlight the characteristics of each group of companies thanks to the clustering. The leader cluster was identified, which has a high number of personnel and performance indicators that are above the mean. This cluster’s enterprises are industry leaders; they cover a large territory in Russia; they engage in technological, innovative, logistical, and international activities; and they have a high level of strategic planning and management. This generalised characterisation enabled us to compare the main criteria of the clusters, allowing us to identify the field of strategic action to improve production outputs.
format Статья
author Syromyatnikov, D. A.
Сыромятников, Д. А.
author_facet Syromyatnikov, D. A.
Сыромятников, Д. А.
author_sort Syromyatnikov, D. A.
title Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
title_short Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
title_full Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
title_fullStr Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
title_full_unstemmed Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
title_sort cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector
publishDate 2023
url https://dspace.ncfu.ru/handle/20.500.12258/23482
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