Keywords: corporate social responsibility, fuel and energy complex, project management, sustainable development, green economy
Modeling of corporate social responsibility indicators as criteria for the success of fuel and energy complex companies
UDC 658.511
DOI: 10.26102/2310-6018/2023.41.2.026
The article is devoted to the study of determining the key aspects of fuel and energy complex companies in terms of corporate social responsibility for modeling indicators that are essential in the development of oil and gas companies in modern economic challenges. The object of the study is the corporations of the oil and gas sector leading an active social policy. The subject of the study is the indicators of criteria characterizing the results of corporate social activity of the company. The methodology of the research undertaken is the analysis of ESG reports of the leading companies in the fuel and energy complex of Russia for compliance with the 17 principles of sustainable development of the United Nations. The result of the experiment is the formation of an optimal multicomponent structure of corporate social responsibility covering a full range of indicators characterizing both the internal and external environment as well as performance indicators for determining the development strategy of corporate social responsibility and high performance of oil and gas corporations in the context of modern economics by means of the complex stakeholder evaluation system. Practical significance of the study consists in the application of the developed corporate social responsibility evaluation system for subsequent implementation at corporate and country levels. The obtained system of indexes can be used by the management team of an individual company as well as government agencies or evaluation agencies.
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Keywords: corporate social responsibility, fuel and energy complex, project management, sustainable development, green economy
For citation: Zelenina A.N., Choporov O.N., Prikhodchenko A.V. Modeling of corporate social responsibility indicators as criteria for the success of fuel and energy complex companies. Modeling, Optimization and Information Technology. 2023;11(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1310 DOI: 10.26102/2310-6018/2023.41.2.026 (In Russ).
Received 19.03.2023
Revised 29.05.2023
Accepted 21.06.2023
Published 30.06.2023