ANTI-CRISIS ADAPTIVE DIGITAL MODEL OF HIGHER EDUCATION INSTITUTION MANAGEMENT IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT OF THE SMART ECONOMY

Authors

  • Svitlana Sytniakivska Polissia National University
  • Tetiana Vlasiuk Kyiv National University of Technologies and Design
  • Nadiia Zaritska Kyiv National University of Technologies and Design
  • Tetyana Zubro Bratislava University of Economics and Business
  • Iryna Rykovanova Lviv Polytechnic National University
  • Tetiana Voronko-Nevidnycha Poltava State Agrarian University

DOI:

https://doi.org/10.15544/mts.2025.39

Keywords:

Smart Economy, Higher Education Institution Management, Sustainable Development, Adaptation, Educational Policy, Innovation, Artificial Intelligence, Fuzzy Logic

Abstract

The article presents the concept of an anti-crisis adaptive digital model of higher education institution management in the context of sustainable development of the smart economy. The proposed model combines tools of digital transformation, logical-linguistic analysis and cybernetic modeling to create a functionally reliable, flexible and institutionally stable management system. Particular attention is paid to the analysis of modern challenges, such as digitalization, demographic crisis, financial instability, as well as political and environmental factors. The study proves that the use of the fuzzy set method allows you to effectively take into account the uncertainty and dynamics of the external environment, which contributes to making strategic decisions in conditions of complexity and multifactoriality. The model is focused on strengthening the role of higher education as a driver of sustainable development, as well as on increasing its competitiveness in the global space.

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Published

2024-09-28

How to Cite

Sytniakivska, S., Vlasiuk, T., Zaritska, N., Zubro, T., Rykovanova, I., & Voronko-Nevidnycha, T. (2024). ANTI-CRISIS ADAPTIVE DIGITAL MODEL OF HIGHER EDUCATION INSTITUTION MANAGEMENT IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT OF THE SMART ECONOMY. Management Theory and Studies for Rural Business and Infrastructure Development, 47(3), 493–509. https://doi.org/10.15544/mts.2025.39

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