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Название: Diagnostics of competitiveness of power-generating companies
Авторы: Domnikov, A.
Antipova, E.
Domnikova, L.
Дата публикации: 2019
Издатель: WITPress
Библиографическое описание: Domnikov A. Diagnostics of competitiveness of power-generating companies / A. Domnikov, E. Antipova, L. Domnikova // WIT Transactions on Ecology and the Environment. — 2019. — Vol. 222. — P. 27-33.
Аннотация: The paper presents the results of a study of the processes of development of power-generating companies in the conditions of high risks and uncertainty. To reduce the impact of uncertainty on the prospects of energy business development in the field of energy generation, a system of diagnostics of the competitiveness of power-generating companies is proposed. This system makes it possible to identify the threats associated with the reduction of competitiveness and provide information and analytical support to the management of companies to create effective management decisions. The developed system of diagnostics is based on mathematical modeling using procedures of discriminant and cluster analysis. The diagnostic process identifies and evaluates the factors that affect the increase in risks and reduce the investment attractiveness of the energy business in the energy generation sector by centralized energy sources. This makes it possible to use the potential advantages of the market situation to improve the competitiveness of power-generating companies. The system of diagnostics of competitiveness of the power generating companies developed by authors is the effective analytical tool which raises quality and objectivity of the made administrative decisions. This will make it possible to avoid the appearance of adverse consequences, which may lead to a decrease in the competitiveness of power-generating companies in the electricity and heat markets. © 2019 WIT Press
Ключевые слова: CENTRALIZED ENERGY SOURCES
COMPETITION
EFFICIENCY
MATHEMATICAL ECONOMIC MODELS
POWER INDUSTRY
RELIABILITY
RISKS
STRATEGY
UNCERTAINTY
URI: http://elar.urfu.ru/handle/10995/75780
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85061431465
Идентификатор PURE: 9059998
ISSN: 1746-448X
DOI: 10.2495/EQ180031
Сведения о поддержке: ACKNOWLEDGEMENT The work was supported by Act 211 Government of the Russian Federation, contract No 02. A03.21.0006 and Russian Foundation for Basic Research (RFBR), contract No 16-06-00317.
Располагается в коллекциях:Научные публикации, проиндексированные в SCOPUS и WoS CC

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