Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track

The article presents the results of performance indicators analysis of groups of universities participating in “Leadership in Research” track (hereinafter referred to as the research track) of the strategic academic leadership program Priority 2030. To solve this problem, the displaced ideal method...

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Main Authors: A. I. Guseva, V. M. Kalashnik, V. I. Kaminsky, S. V. Kireev
Format: Article
Language:English
Published: Moscow Polytechnic University 2024-04-01
Series:Высшее образование в России
Subjects:
Online Access:https://vovr.elpub.ru/jour/article/view/4873
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author A. I. Guseva
V. M. Kalashnik
V. I. Kaminsky
S. V. Kireev
author_facet A. I. Guseva
V. M. Kalashnik
V. I. Kaminsky
S. V. Kireev
author_sort A. I. Guseva
collection DOAJ
description The article presents the results of performance indicators analysis of groups of universities participating in “Leadership in Research” track (hereinafter referred to as the research track) of the strategic academic leadership program Priority 2030. To solve this problem, the displaced ideal method was used, which allows to compare the aggregated performance indicators of three groups of universities. The comparative analysis of the special part performance indicators was carried out and also included aggregated indicators of basic and special parts in 2022. To assess the dynamics of universities’ activities in 2020–2022, aggregated indicators of the special part were analyzed. The research showed that special part performance indicators achieved by universities participating in the Program correspond quite well with the results of the general assessment, accepted by the Council at the end of 2023. It was found that the achievement of performance indicators for universities in implementing their development programs had a significant impact on the positions of participants in the research track and enabled the rotation mechanism to be launched in full power for the first time since the beginning of the Program. As a result, 30% of universities in the research track changed their groups
format Article
id doaj-art-498364e6e96d49afa4a3f52b1dcdc204
institution Kabale University
issn 0869-3617
2072-0459
language English
publishDate 2024-04-01
publisher Moscow Polytechnic University
record_format Article
series Высшее образование в России
spelling doaj-art-498364e6e96d49afa4a3f52b1dcdc2042025-02-01T13:14:32ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592024-04-01333496310.31992/0869-3617-2024-33-3-49-632456Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research TrackA. I. Guseva0V. M. Kalashnik1V. I. Kaminsky2S. V. Kireev3National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)The article presents the results of performance indicators analysis of groups of universities participating in “Leadership in Research” track (hereinafter referred to as the research track) of the strategic academic leadership program Priority 2030. To solve this problem, the displaced ideal method was used, which allows to compare the aggregated performance indicators of three groups of universities. The comparative analysis of the special part performance indicators was carried out and also included aggregated indicators of basic and special parts in 2022. To assess the dynamics of universities’ activities in 2020–2022, aggregated indicators of the special part were analyzed. The research showed that special part performance indicators achieved by universities participating in the Program correspond quite well with the results of the general assessment, accepted by the Council at the end of 2023. It was found that the achievement of performance indicators for universities in implementing their development programs had a significant impact on the positions of participants in the research track and enabled the rotation mechanism to be launched in full power for the first time since the beginning of the Program. As a result, 30% of universities in the research track changed their groupshttps://vovr.elpub.ru/jour/article/view/4873priority 2030 programleadership in researchdisplaced ideal methoduniversity performance indicators
spellingShingle A. I. Guseva
V. M. Kalashnik
V. I. Kaminsky
S. V. Kireev
Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
Высшее образование в России
priority 2030 program
leadership in research
displaced ideal method
university performance indicators
title Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
title_full Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
title_fullStr Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
title_full_unstemmed Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
title_short Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track
title_sort performance indicators analysis of universities participating in the priority 2030 program research track
topic priority 2030 program
leadership in research
displaced ideal method
university performance indicators
url https://vovr.elpub.ru/jour/article/view/4873
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AT vmkalashnik performanceindicatorsanalysisofuniversitiesparticipatinginthepriority2030programresearchtrack
AT vikaminsky performanceindicatorsanalysisofuniversitiesparticipatinginthepriority2030programresearchtrack
AT svkireev performanceindicatorsanalysisofuniversitiesparticipatinginthepriority2030programresearchtrack