Ranking of Universities Based on Career Path in Management
https://doi.org/10.31992/0869-3617-2025-34-8-9-139-160
Abstract
This article addresses the issue of the existing university rankings being insufficiently representative in terms of their assessment of the contribution of higher education institutions (HEIs) to managerial personnel training. The study aims to increase the transparency of higher education institution rankings by using a managerial position classifier. The study’s methodology is based on a management job classifier that uses decisive rules to determine the correspondence of positions between different management areas. It also involves the automated extraction of organisational activity data by name from open internet sources. To achieve this, data on the career paths of graduates from 15 universities included in the RAEX “Management” rating were collected and indicators of career dynamics were determined. During the analysis, indicators of managerial career dynamics were calculated, including position levels and the time interval for achieving them. The results confirmed the hypothesis that graduates from different universities and years have different managerial career dynamics, as classified by the managerial position classifier. The universities were also classified into three groups. The results obtained are intended for use in studying the possibility of determining the career component of HEI ratings.
Keywords
About the Authors
I. B. SheburakovRussian Federation
Ilya B. Sheburakov – Cand. Sci. (Psychology), Associate Professor, dean of the Faculty of Evaluation and Development of Managerial Human Resources, Institute “Graduate School of Public Management”,
82 Vernadskogo ave., Moscow, 119606.
Researcher ID: MDT-0638-2025.
T. V. Tulupyeva
Russian Federation
Tatiana V. Tulupyeva– Cand. Sci. (Psychology), Associate Professor, Advisor to the Vice-Rector for Science, Leading Researcher of the Laboratory of Applied Artificial Intelligence,
82, Vernadskogo ave., Moscow, 119606;
39, 14th line, St. Petersburg, 199178.
Researcher ID: G-2942-2015.
M. V. Abramov
Russian Federation
Maxim V. Abramov – Cand. Sci. (Technical), Head of the Laboratory of Applied Artificial Intelligence,
39, 14th line, St. Petersburg, 199178.
Researcher ID: P-9551-2016.
V. F. Stoliarova
Russian Federation
Valerie F. Stoliarova – junior researcher of the Laboratory of Applied Artificial Intelligence
39, 14th line, St. Petersburg, 199178.
Researcher ID: K-8448-2018.
A. O. Ivashchenko
Russian Federation
Anastasiia O. Ivashchenko – researcher of the Laboratory of Applied Artificial Intelligence,
39, 14th line, St. Petersburg, 199178.
Researcher ID: T-6186-2018.
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