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Economics and Social Partnership
ArticleName Methodological support for the formation of socio-cultural projects in the area of responsibility of ferrous metallurgy companies
DOI 10.17580/cisisr.2026.01.19
ArticleAuthor I. Yu. Novoselova, A. V. Sharkova, O. N. Vasilyeva
ArticleAuthorData

Financial University under the Government of Russian Federation (Moscow, Russia)

I. Yu. Novoselova, Dr. Econ., Prof., Dept. of Industrial Markets, iunov2010@yandex.ru
A. V. Sharkova, Dr. Econ., Prof., Dept. of Industrial Markets, AVSharkova@fa.ru
O. N. Vasilyeva, Cand. Jur., Associate Prof., Dept. of Legal Regulation of Economic Activity, ONVasileva@fa.ru

Abstract

Iron and steel enterprises are currently making great efforts to reduce the negative impact on the environment and implement important social projects in their areas of responsibility. To create an effective set of social and cultural projects, it is necessary to consider the priorities of different population groups and the availability of financial resources from the enterprise. The article presents an enlarged scheme of information and logical connections between the stages of forming socio-cultural projects developed by the authors, a mechanism for forming such projects based on assessing the priority of projects based on public opinion surveys and the authors’ algorithm for processing them, a mathematical model for forming an optimal set of projects, and an iterative algorithm for determining the optimal amount of funding to assess public satisfaction with the selected projects. The scientific novelty is the multicriteria model of forming an optimal set of projects, which ensures the same degree of satisfaction of the interests of all population groups. The approbation of the developed mechanism of forming projects using a specially developed software package demonstrates the efficiency of the proposed methodological support and allows us to reveal in detail all steps of forming socio-cultural projects on a numerical example.

keywords Project, population, algorithm, fuzzy assessments, optimality criteria, multi-criteria optimization, methodological support, optimization model
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