Fuzzy Model of Socio-Economic System Development Risks Analysis on the Stakeholder Approach Basis

Mazelis, Lev; Солодухин, К. С.; Lavrenyuk, Kirill

doi:10.21684/2411-7897-2017-3-3-242-260

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The process of determining the actors, in fact, is the implementation of the technology of strategic management, the study of the external environment [7,8].…”

Section: Methodsmentioning

confidence: 99%

Region innovative development in the Russian economy technological transformation: ecosystem approach

2021

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The article considers the ecosystem approach to regional development. The ecosystem approach allows under conditions of technological transformation of the economy to maintain the socio-ecological-economic balance of the region, to develop the culture and quality of life of the region's population. The structure of ecosystem of the region, the main actors of which are the actors of the system, is considered. By ecosystem we understand a self-organizing, highly adaptive, territorially limited within the natural, institutional, social and political environment network complex of freely cooperating, interacting and mutually influencing each other actors - organizations, processes, projects, services. The core of ecosystems are firms where the first business model prevails and network effects are evident. Russia is in the process of realizing the importance of the ecosystem approach to regional development in the context of technological transformation of the economy. Further development consists in the introduction of "green growth" of the economy, where it is impossible to do without taking into account the ecosystem effects, the development of comprehensive programs for the development of the territory based on the principles of sustainable development.

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“…The process of determining the actors, in fact, is the implementation of the technology of strategic management, the study of the external environment [7,8].…”

Section: Methodsmentioning

confidence: 99%

Region innovative development in the Russian economy technological transformation: ecosystem approach

2021

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Quantitative Assessment of University’s Intellectual Capital Based on Fuzzy Model

Nedoluzhko,

Solodukhin

2024

umj

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The aim of this research article is to develop and test a fuzzy model for the quantitative evaluation of university intellectual capital. The fuzzy model allows for the assessment of university intellectual capital as a whole, the main components of intellectual capital, the university’s abilities in various types of cognitive activities that contribute to the development of intellectual capital, and explicit and implicit factors of intellectual capital. The key distinguishing features of the model include: the formalization of explicit and implicit factors as linguistic variables and their translation into fuzzy sets; the use of fuzzy logic procedures in a hierarchical structure with possible cycles; the ability to obtain numerical evaluations of the dispersion of calculated values; and increased reliability of results by taking into account the levels of expertise of experts in specific areas of university activity using various smoothing functions. The results of testing the model on a large regional university are presented. Problematic areas in university activities regarding the development of intellectual capital are identified. The materials of the article are of interest to university leaders who receive a tool for a comprehensive assessment of intellectual capital and its components at all levels linked to the university’s development strategy.

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Fuzzy Model of Socio-Economic System Development Risks Analysis on the Stakeholder Approach Basis

Cited by 2 publications

References 4 publications

Region innovative development in the Russian economy technological transformation: ecosystem approach

Region innovative development in the Russian economy technological transformation: ecosystem approach

Quantitative Assessment of University’s Intellectual Capital Based on Fuzzy Model

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