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Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital

Konstantin V. Vodenko (Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russian Federation)
Svetlana A. Lyausheva (Adyge State University, Majkop, Russian Federation)

Journal of Intellectual Capital

ISSN: 1469-1930

Article publication date: 21 April 2020

Issue publication date: 23 June 2020

646

Abstract

Purpose

The purpose of the paper is to develop a concept of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.

Design/methodology/approach

The methods of regression and correlation analysis are used. The role of human and artificial intellectual capital for provision of effectiveness and competitiveness of the system of science and education is determined, as well as its correspondence to the modern challenges. Analysis of perspectives and limitations of automatization of the system of science and education based on AI is conducted; a model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital is compiled.

Findings

It is established that in the system of science and education, the decisive production factor is intellectual capital, but human intellect does not necessarily have to dominate in its structure. AI is one of the most popular technologies of Industry 4.0 in the system of science and education, which has wide perspectives of practical implementation. As experience of the leading world universities, which had the highest level of digitization in 2018, showed, foundation on non-breakthrough digital technologies (computer equipment and Internet) does not allow opening the potential of increase of indicators of effectiveness and competitiveness of the system of science and education and bringing it in correspondence to the modern challenges based on digitization. However, correlation of activity of application of artificial intellectual capital with these indicators is four times higher (0.2), as compared to correlation of these indicators with activity of application of human intellectual capital (0.05). This shows demand for digitization of the system of science and education, but based on breakthrough digital technologies, of which AI should become the key one.

Originality/value

It is substantiated that higher education could be automatized based on AI by 85% and science by 63%. Therefore, on the whole in the system of science and education, the share of AI in the structure of intellectual capital could reach 74% ((85 + 63)/2). It is recommended to use the developed model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.

Keywords

Acknowledgements

The research was performed within the grant of the President of the Russian Federation for state support for the leading scientific schools of the Russian Federation (NSh-2582.2020.6) «Public policy in the field of higher education and development of innovative potential of youth: economic and non-economic determinants and mechanisms in the conditions of regionalization of social space and the formation of industry 4.0

Citation

Vodenko, K.V. and Lyausheva, S.A. (2020), "Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital", Journal of Intellectual Capital, Vol. 21 No. 4, pp. 549-564. https://doi.org/10.1108/JIC-11-2019-0274

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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