| Form of presentation | Articles in international journals and collections |
| Year of publication | 2019 |
| Язык | русский |
|
Gabdullin Nail Maratovich, author
Kirshin Igor Aleksandrovich, author
|
| Bibliographic description in the original language |
Gabdullin Nail Maratovich, Kamaev Bulat Nailevich and Kirshin Igor Alexandrovich. Cluster Analysis of the Russian Regions by the Human Capital
Development and Digital Resources Factors / International Journal on Emerging Technologies 10(2a): 225-231(2019) |
| Annotation |
The article performs the analysis of the structure of multidimensional data on the factor of
development of human capital and digital resources of Russia. The objects under observation were the
subjects of the Russian Federation, the factors of each object under observation were the average annual
indicators of the corresponded factors of the monitoring of the information society development in the
Russian Federation for the period from 2010 to 2017. The article substantiates an increasing role of digital
resources in improving the quality of human capital of clusters of the subjects of the Russian Federation
which differ in the level of development of digital infrastructure, social conditions and the peculiarities of
rendering electronic services. The theses of this study can serve as methodological instructions for the
formation of regional cluster networks aimed at improving the competitiveness of the subjects of the
Russian Federation that form clusters. To determine the optimal number of clusters, several models were
applied with the subsequent selection of the best number by means of the BIC (Bayesian Information
Criterion) assessment. The structuring of data through cluster analysis was performed using the EM method
(Expectation Maximization) and the Ward Hierarchical Clustering method. These methods were implemented
in the R studio integrated development environment. As a result of applying the methods of clusterization,
clusters of the regions of the RF that differ in the level of development of resource base, processes and
results of using digital technologies for the development of constituent entities of the Russian Federation
have been singled out. A stable cluster of the subjects of the RF differing from the majority of the subjects of
the RF by special characteristics of human capital development and electronic technologies has been
identified. |
| Keywords |
cluster analysis, digital economics, E-education, E-Health, E-culture |
| The name of the journal |
International Journal on Emerging Technologies
|
| Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=235892&p_lang=2 |
Full metadata record  |
| Field DC |
Value |
Language |
| dc.contributor.author |
Gabdullin Nail Maratovich |
ru_RU |
| dc.contributor.author |
Kirshin Igor Aleksandrovich |
ru_RU |
| dc.date.accessioned |
2019-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2019-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2019 |
ru_RU |
| dc.identifier.citation |
Gabdullin Nail Maratovich, Kamaev Bulat Nailevich and Kirshin Igor Alexandrovich. Cluster Analysis of the Russian Regions by the Human Capital
Development and Digital Resources Factors / International Journal on Emerging Technologies 10(2a): 225-231(2019) |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=235892&p_lang=2 |
ru_RU |
| dc.description.abstract |
International Journal on Emerging Technologies |
ru_RU |
| dc.description.abstract |
The article performs the analysis of the structure of multidimensional data on the factor of
development of human capital and digital resources of Russia. The objects under observation were the
subjects of the Russian Federation, the factors of each object under observation were the average annual
indicators of the corresponded factors of the monitoring of the information society development in the
Russian Federation for the period from 2010 to 2017. The article substantiates an increasing role of digital
resources in improving the quality of human capital of clusters of the subjects of the Russian Federation
which differ in the level of development of digital infrastructure, social conditions and the peculiarities of
rendering electronic services. The theses of this study can serve as methodological instructions for the
formation of regional cluster networks aimed at improving the competitiveness of the subjects of the
Russian Federation that form clusters. To determine the optimal number of clusters, several models were
applied with the subsequent selection of the best number by means of the BIC (Bayesian Information
Criterion) assessment. The structuring of data through cluster analysis was performed using the EM method
(Expectation Maximization) and the Ward Hierarchical Clustering method. These methods were implemented
in the R studio integrated development environment. As a result of applying the methods of clusterization,
clusters of the regions of the RF that differ in the level of development of resource base, processes and
results of using digital technologies for the development of constituent entities of the Russian Federation
have been singled out. A stable cluster of the subjects of the RF differing from the majority of the subjects of
the RF by special characteristics of human capital development and electronic technologies has been
identified. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
cluster analysis |
ru_RU |
| dc.subject |
digital economics |
ru_RU |
| dc.subject |
E-education |
ru_RU |
| dc.subject |
E-Health |
ru_RU |
| dc.subject |
E-culture |
ru_RU |
| dc.title |
Cluster Analysis of the Russian Regions by the Human Capital
Development and Digital Resources Factors |
ru_RU |
| dc.type |
Articles in international journals and collections |
ru_RU |
|
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