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The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development. / Gadasina, Lyudmila; Voitenko, Sergey; Vyunenko, Lyudmila.

Digitalization of Society, Economics and Management : A Digital Strategy Based on Post-pandemic Developments. ред. / Evgeny Zaramenskikh; Alena Fedorova. Springer Nature, 2022. стр. 235-245 (Lecture Notes in Information Systems and Organisation; Том 53).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Gadasina, L, Voitenko, S & Vyunenko, L 2022, The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development. в E Zaramenskikh & A Fedorova (ред.), Digitalization of Society, Economics and Management : A Digital Strategy Based on Post-pandemic Developments. Lecture Notes in Information Systems and Organisation, Том. 53, Springer Nature, стр. 235-245. https://doi.org/10.1007/978-3-030-94252-6_17

APA

Gadasina, L., Voitenko, S., & Vyunenko, L. (2022). The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development. в E. Zaramenskikh, & A. Fedorova (Ред.), Digitalization of Society, Economics and Management : A Digital Strategy Based on Post-pandemic Developments (стр. 235-245). (Lecture Notes in Information Systems and Organisation; Том 53). Springer Nature. https://doi.org/10.1007/978-3-030-94252-6_17

Vancouver

Gadasina L, Voitenko S, Vyunenko L. The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development. в Zaramenskikh E, Fedorova A, Редакторы, Digitalization of Society, Economics and Management : A Digital Strategy Based on Post-pandemic Developments. Springer Nature. 2022. стр. 235-245. (Lecture Notes in Information Systems and Organisation). https://doi.org/10.1007/978-3-030-94252-6_17

Author

Gadasina, Lyudmila ; Voitenko, Sergey ; Vyunenko, Lyudmila. / The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development. Digitalization of Society, Economics and Management : A Digital Strategy Based on Post-pandemic Developments. Редактор / Evgeny Zaramenskikh ; Alena Fedorova. Springer Nature, 2022. стр. 235-245 (Lecture Notes in Information Systems and Organisation).

BibTeX

@inproceedings{1314033b87fb409b8eb5ad9c4ff6cc6c,
title = "The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development",
abstract = "The article is devoted to the problem of the formation of personnel competitive in the conditions of a post-industrial cluster-network model of innovative development. The authors develop an approach to constructing the cluster-network model based on new mechanisms for the collaboration of the Science, Industry and Government. The approach is implemented through the identification of the information, covering all the elements of the cluster-network model, significant for the analysis of human capital. An analysis of the prerequisites and the identification of conditions, criteria and methods that allow Universities to form personnel of a fundamentally new nature is performed. It made possible to develop a system of indicators for building a data-driven model describing the development of the University as the primary producer of human capital, in contrast to other participants in the collaboration being more the consumers of human resources. This gives opportunities and conditions for creating a data-driven educational environment management system for universities targeting at formatting human capital competitive in the new conditions.",
keywords = "Cluster-network model, Data-driven system, Human capital, University",
author = "Lyudmila Gadasina and Sergey Voitenko and Lyudmila Vyunenko",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2022",
doi = "10.1007/978-3-030-94252-6_17",
language = "English",
isbn = "9783030942519",
series = "Lecture Notes in Information Systems and Organisation",
publisher = "Springer Nature",
pages = "235--245",
editor = "Evgeny Zaramenskikh and Alena Fedorova",
booktitle = "Digitalization of Society, Economics and Management",
address = "Germany",

}

RIS

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T1 - The Principles of Forming a Data-Driven University Model Within the Cluster-Network Model of Innovative Development

AU - Gadasina, Lyudmila

AU - Voitenko, Sergey

AU - Vyunenko, Lyudmila

N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - The article is devoted to the problem of the formation of personnel competitive in the conditions of a post-industrial cluster-network model of innovative development. The authors develop an approach to constructing the cluster-network model based on new mechanisms for the collaboration of the Science, Industry and Government. The approach is implemented through the identification of the information, covering all the elements of the cluster-network model, significant for the analysis of human capital. An analysis of the prerequisites and the identification of conditions, criteria and methods that allow Universities to form personnel of a fundamentally new nature is performed. It made possible to develop a system of indicators for building a data-driven model describing the development of the University as the primary producer of human capital, in contrast to other participants in the collaboration being more the consumers of human resources. This gives opportunities and conditions for creating a data-driven educational environment management system for universities targeting at formatting human capital competitive in the new conditions.

AB - The article is devoted to the problem of the formation of personnel competitive in the conditions of a post-industrial cluster-network model of innovative development. The authors develop an approach to constructing the cluster-network model based on new mechanisms for the collaboration of the Science, Industry and Government. The approach is implemented through the identification of the information, covering all the elements of the cluster-network model, significant for the analysis of human capital. An analysis of the prerequisites and the identification of conditions, criteria and methods that allow Universities to form personnel of a fundamentally new nature is performed. It made possible to develop a system of indicators for building a data-driven model describing the development of the University as the primary producer of human capital, in contrast to other participants in the collaboration being more the consumers of human resources. This gives opportunities and conditions for creating a data-driven educational environment management system for universities targeting at formatting human capital competitive in the new conditions.

KW - Cluster-network model

KW - Data-driven system

KW - Human capital

KW - University

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UR - https://www.mendeley.com/catalogue/249ea88e-5e0d-3d68-a50a-04a941995595/

U2 - 10.1007/978-3-030-94252-6_17

DO - 10.1007/978-3-030-94252-6_17

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AN - SCOPUS:85128975403

SN - 9783030942519

T3 - Lecture Notes in Information Systems and Organisation

SP - 235

EP - 245

BT - Digitalization of Society, Economics and Management

A2 - Zaramenskikh, Evgeny

A2 - Fedorova, Alena

PB - Springer Nature

ER -

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