{"title":"基于动态矩阵模型的俄罗斯高校创新潜力与人力资本开发研究","authors":"Viktor V. Kovelskiy, Elena P. Rostova","doi":"10.36871/ek.up.p.r.2023.09.03.005","DOIUrl":null,"url":null,"abstract":"The article discusses the author’s methodology for assessing the innovative potential and human capital of Russian universities, and also examines their relationship and the presence of mutual influence. 16 national research universities located in different regions of Russia were selected for analysis: universities in Moscow and St. Petersburg and regional universities are included in the analysis. The assessment is carried out according to 10 indicators present in the monitoring of the Ministry of Science and Higher Education of the Russian Federation. The indicators under consideration are divided into groups characterizing innovation potential and human capital. The proposed methodology is based on calculating the Cartesian distance for the analyzed universities in the R5 space. Using the obtained distance values in the space characterizing innovation potential and in the space characterizing human capital, the article carried out a comparative analysis of the universities under study over five years: from 2018 to 2022. Comparison of the dynamics of the indicator values of the Russian universities under consideration made it possible to identify the most significant indicators, i.e. having the greatest impact on the development of the university. A comparative analysis of the considered indicators of universities in dynamics was also carried out, as a result of which recommendations were formulated for the development of some universities that are lagging behind in the development of the indicators under consideration.","PeriodicalId":474181,"journal":{"name":"Èkonomika i upravlenie: problemy, rešeniâ","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STUDY OF THE DEVELOPMENT OF INNOVATIVE POTENTIAL AND HUMAN CAPITAL OF RUSSIAN UNIVERSITIES USING A DYNAMIC MATRIX MODEL\",\"authors\":\"Viktor V. Kovelskiy, Elena P. Rostova\",\"doi\":\"10.36871/ek.up.p.r.2023.09.03.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses the author’s methodology for assessing the innovative potential and human capital of Russian universities, and also examines their relationship and the presence of mutual influence. 16 national research universities located in different regions of Russia were selected for analysis: universities in Moscow and St. Petersburg and regional universities are included in the analysis. The assessment is carried out according to 10 indicators present in the monitoring of the Ministry of Science and Higher Education of the Russian Federation. The indicators under consideration are divided into groups characterizing innovation potential and human capital. The proposed methodology is based on calculating the Cartesian distance for the analyzed universities in the R5 space. Using the obtained distance values in the space characterizing innovation potential and in the space characterizing human capital, the article carried out a comparative analysis of the universities under study over five years: from 2018 to 2022. Comparison of the dynamics of the indicator values of the Russian universities under consideration made it possible to identify the most significant indicators, i.e. having the greatest impact on the development of the university. A comparative analysis of the considered indicators of universities in dynamics was also carried out, as a result of which recommendations were formulated for the development of some universities that are lagging behind in the development of the indicators under consideration.\",\"PeriodicalId\":474181,\"journal\":{\"name\":\"Èkonomika i upravlenie: problemy, rešeniâ\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Èkonomika i upravlenie: problemy, rešeniâ\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36871/ek.up.p.r.2023.09.03.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Èkonomika i upravlenie: problemy, rešeniâ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36871/ek.up.p.r.2023.09.03.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STUDY OF THE DEVELOPMENT OF INNOVATIVE POTENTIAL AND HUMAN CAPITAL OF RUSSIAN UNIVERSITIES USING A DYNAMIC MATRIX MODEL
The article discusses the author’s methodology for assessing the innovative potential and human capital of Russian universities, and also examines their relationship and the presence of mutual influence. 16 national research universities located in different regions of Russia were selected for analysis: universities in Moscow and St. Petersburg and regional universities are included in the analysis. The assessment is carried out according to 10 indicators present in the monitoring of the Ministry of Science and Higher Education of the Russian Federation. The indicators under consideration are divided into groups characterizing innovation potential and human capital. The proposed methodology is based on calculating the Cartesian distance for the analyzed universities in the R5 space. Using the obtained distance values in the space characterizing innovation potential and in the space characterizing human capital, the article carried out a comparative analysis of the universities under study over five years: from 2018 to 2022. Comparison of the dynamics of the indicator values of the Russian universities under consideration made it possible to identify the most significant indicators, i.e. having the greatest impact on the development of the university. A comparative analysis of the considered indicators of universities in dynamics was also carried out, as a result of which recommendations were formulated for the development of some universities that are lagging behind in the development of the indicators under consideration.