Analysis of key university leadership factors based on their international rankings (QS World University Rankings and Times Higher Education)

Author:

Polyakov Maxim1ORCID,Bilozubenko Vladimir2ORCID,Korneyev Maxim3ORCID,Nebaba Natalia4ORCID

Affiliation:

1. Doctor of Economics, Associate Professor, Managing Partner Noosphere Ventures Inc., Menlo Park

2. Doctor of Economics, Associate Professor, Department of International Economic Relations, Regional Studies and Tourism, University of Customs and Finance

3. Doctor of Economics, Professor, Department of International Economic Relations, Regional Studies and Tourism, University of Customs and Finance

4. Ph.D. in Economics, Associate Professor, Department of International Economic Relations, Regional Studies and Tourism, University of Customs and Finance

Abstract

In the context of globalization of the educational services market, competition between universities is becoming more intense. This manifests itself, among other things, in the struggle for positions in international university rankings. Given that universities are evaluated according to many criteria in such rankings, it becomes necessary to identify the most significant factors in determining their positions.This study aims to identify the key factors determining the world’s leading universities’ leadership in international university rankings. The numerical values of the criteria for compiling the QS World University Rankings (QS) and Times Higher Education (THE) rankings were an empirical basis for the study. The analysis covered the Top 50 universities (according to the QS ranking) and was conducted based on reports for 2020 and 2021.At first, clustering was carried out (method – k-means); the data set was the combination of numerical values of QS and THE criteria (six and five criteria, respectively). The universities were divided into three clusters in 2020 (23, 19, 8 universities) and 2021 (23, 17, 10 universities). This showed the universities’ leadership relative to each other for each year.At the second stage, classification processing was performed (method – decision trees). As a result, criteria combinations that give an absolute separation of all clusters (2020 – five combinations; 2021 – eight combinations) were identified. The obtained combinations largely determine universities’ affiliation to clusters; their criteria are recognized as key factors of their leadership in the rankings. This study’s results can serve as guidelines for improving universities’ positions in the rankings.

Publisher

LLC CPC Business Perspectives

Subject

Strategy and Management,Business and International Management,General Business, Management and Accounting,Information Systems and Management,Law,Sociology and Political Science,Public Administration

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