IDEAS home Printed from https://ideas.repec.org/a/vrs/mtrbid/v47y2025i3p493-509n1014.html
   My bibliography  Save this article

Anti-Crisis Adaptive Digital Model of Higher Education Institution Management in the Context of Sustainable Development of the Smart Economy

Author

Listed:
  • Sytniakivska Svitlana

    (Prof. Polissia National University, 7 Staryi Boulevard, Zhytomyr, Zhytomyr Region, Ukraine)

  • Vlasiuk Tetiana

    (Assoc. Prof., Kyiv National University of Technologies and Design, 2 Mala Shiyanovska (Nemyrovycha-Danchenka) str., Kyiv, Ukraine)

  • Zaritska Nadiia

    (Assoc. Prof., Kyiv National University of Technologies and Design, 2 Mala Shiyanovska (Nemyrovycha-Danchenka) str., Kyiv, Ukraine)

  • Zubro Tetyana

    (Assoc. Prof., Bratislava University of Economics and Business, 1/b Dolnozemská Сesta, Bratislava, Slovakia)

  • Rykovanova Iryna

    (Senior lecturer, Lviv Polytechnic National University, 12 Stepan Bandera str., Lviv, Ukraine)

  • Voronko-Nevidnycha Tetiana

    (Assoc. Prof., Poltava State Agrarian University, 1/3 Skovorody, str., Poltava, Ukraine)

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.

Suggested Citation

  • Sytniakivska Svitlana & Vlasiuk Tetiana & Zaritska Nadiia & Zubro Tetyana & Rykovanova Iryna & Voronko-Nevidnycha Tetiana, 2025. "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, Sciendo, vol. 47(3), pages 493-509.
    • Handle: RePEc:vrs:mtrbid:v:47:y:2025:i:3:p:493-509:n:1014
    DOI: 10.15544/mts.2025.39
    as

    Download full text from publisher

    File URL: https://doi.org/10.15544/mts.2025.39
    Download Restriction: no
    File URL: https://libkey.io/10.15544/mts.2025.39?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:mtrbid:v:47:y:2025:i:3:p:493-509:n:1014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.