| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2019 |
| Язык | русский |
|
Габдуллин Наиль Маратович, автор
Киршин Игорь Александрович, автор
|
| Библиографическое описание на языке оригинала |
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) |
| Аннотация |
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. |
| Ключевые слова |
cluster analysis, digital economics, E-education, E-Health, E-culture |
| Название журнала |
International Journal on Emerging Technologies
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=235892 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Габдуллин Наиль Маратович |
ru_RU |
| dc.contributor.author |
Киршин Игорь Александрович |
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/?p_id=235892 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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