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

Lyudmila Gadasina, Sergey Voitenko and Lyudmila Vyunenko ()
Additional contact information
Lyudmila Gadasina: St. Petersburg State University
Sergey Voitenko: St. Petersburg State University
Lyudmila Vyunenko: St. Petersburg State University

A chapter in Digitalization of Society, Economics and Management, 2022, pp 235-245 from Springer

Abstract: 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; Human capital; University; Data-driven system (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-94252-6_17

Ordering information: This item can be ordered from
http://www.springer.com/9783030942526

DOI: 10.1007/978-3-030-94252-6_17

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().