Modelling the Design of University Competitiveness

Dmytro Lukianenko, Andriy Matviychuk, Liubov Lukianenko, Iryna Dvornyk

2022

Abstract

In the post-industrial knowledge economy, the key role in the generation and dissemination of innovations is played by universities, where global intellectual capital is concentrated. Today, universities are becoming the drivers of digital transformation of science, business, countries and society as a whole. In the latest paradigm of development, based on the generalization of modern theoretical trends, the scientific and practical problems as well as prospects for the development of universities are highlighted and the prerequisites, imperatives and factors of their competitiveness are revealed. The research also focuses on modelling of university competitiveness parameters with the clustering of countries on the basis of Kohonen maps and assessment of the level of significance of normalized parameters. The organizational design of a competitive model of the university as well as key factors of its success in the system of open science, education and innovation are proposed.

Paper Citation

in EndNote Style

TY - CONF

JO - Proceedings of 10th International Conference on Monitoring, Modeling & Management of Emergent Economy - Volume 1: M3E2
TI - Modelling the Design of University Competitiveness
SN - 978-989-758-640-8
AU - Lukianenko D.
AU - Matviychuk A.
AU - Lukianenko L.
AU - Dvornyk I.
PY - 2022
SP - 204
EP - 214
DO - 10.5220/0011933200003432
PB - SciTePress

in Harvard Style

Lukianenko D., Matviychuk A., Lukianenko L. and Dvornyk I. (2022). Modelling the Design of University Competitiveness. In Proceedings of 10th International Conference on Monitoring, Modeling & Management of Emergent Economy - Volume 1: M3E2; ISBN 978-989-758-640-8, SciTePress, pages 204-214. DOI: 10.5220/0011933200003432

in Bibtex Style

@conference{m3e222,
author={Dmytro Lukianenko and Andriy Matviychuk and Liubov Lukianenko and Iryna Dvornyk},
title={Modelling the Design of University Competitiveness},
booktitle={Proceedings of 10th International Conference on Monitoring, Modeling & Management of Emergent Economy - Volume 1: M3E2},
year={2022},
pages={204-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011933200003432},
isbn={978-989-758-640-8},
}