Identification of regions in need of crisis management using the example of the dairy industry

In order to determine the depressed regions of the status of the dairy industry, the main target functions of the anti-crisis strategy are formulated. As a preliminary research method in crisis management, a morphological analysis was chosen, which is an effective methodological approach. The advant...

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Main Authors:	Chernyakov Mikhail, Chernyakova Maria, Chernyakova Irina, Gritsenko Galina
Format:	Article
Language:	English
Published:	EDP Sciences 2020-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13024.pdf

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spelling	doaj-6314c64fecc241839e02922bd81c8c7c2021-04-02T14:31:34ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011751302410.1051/e3sconf/202017513024e3sconf_interagromash2020_13024Identification of regions in need of crisis management using the example of the dairy industryChernyakov Mikhail0Chernyakova Maria1Chernyakova IrinaGritsenko Galina2Novosibirsk State Technical UniversitySiberian Institute of Management – Branch of Russian Academy of National Economy and State Service Under the RF PresidentFederal state budgetary institution of science of the Siberian Federal scientific center of agrobiotechnology the Russian Academy of Sciences (RAS CPNCA), Altai laboratory SibniieskhIn order to determine the depressed regions of the status of the dairy industry, the main target functions of the anti-crisis strategy are formulated. As a preliminary research method in crisis management, a morphological analysis was chosen, which is an effective methodological approach. The advantages and disadvantages of morphological analysis are evaluated. A morphological matrix for ranking the regions of Siberia according to the main indicators of the dairy industry was built and 5 clusters of regional status were formed. Only one region was classified as depressed – the Republic of Tuva. Effective anti-crisis management tools are proposed. The introduction of digital technologies and the organization of automated workstations on their basis are recommended, which will compensate for the shortage of qualified personnel, increase labor productivity, and government support for these events and the attraction of investors are also required.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13024.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gritsenko Galina
spellingShingle	Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gritsenko Galina Identification of regions in need of crisis management using the example of the dairy industry E3S Web of Conferences
author_facet	Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gritsenko Galina
author_sort	Chernyakov Mikhail
title	Identification of regions in need of crisis management using the example of the dairy industry
title_short	Identification of regions in need of crisis management using the example of the dairy industry
title_full	Identification of regions in need of crisis management using the example of the dairy industry
title_fullStr	Identification of regions in need of crisis management using the example of the dairy industry
title_full_unstemmed	Identification of regions in need of crisis management using the example of the dairy industry
title_sort	identification of regions in need of crisis management using the example of the dairy industry
publisher	EDP Sciences
series	E3S Web of Conferences
issn	2267-1242
publishDate	2020-01-01
description	In order to determine the depressed regions of the status of the dairy industry, the main target functions of the anti-crisis strategy are formulated. As a preliminary research method in crisis management, a morphological analysis was chosen, which is an effective methodological approach. The advantages and disadvantages of morphological analysis are evaluated. A morphological matrix for ranking the regions of Siberia according to the main indicators of the dairy industry was built and 5 clusters of regional status were formed. Only one region was classified as depressed – the Republic of Tuva. Effective anti-crisis management tools are proposed. The introduction of digital technologies and the organization of automated workstations on their basis are recommended, which will compensate for the shortage of qualified personnel, increase labor productivity, and government support for these events and the attraction of investors are also required.
url	https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13024.pdf
work_keys_str_mv	AT chernyakovmikhail identificationofregionsinneedofcrisismanagementusingtheexampleofthedairyindustry AT chernyakovamaria identificationofregionsinneedofcrisismanagementusingtheexampleofthedairyindustry AT chernyakovairina identificationofregionsinneedofcrisismanagementusingtheexampleofthedairyindustry AT gritsenkogalina identificationofregionsinneedofcrisismanagementusingtheexampleofthedairyindustry
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Identification of regions in need of crisis management using the example of the dairy industry

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