Models of cluster and digital integration of high-tech industries of the Eurasian Economic Union countries

DOI

10.2991/iscde-19.2019.46How to use a DOI?

Keywords

Eurasian Economic Union, digital transformation, cluster, high-tech production, model

Abstract

The relevance of developing models reflecting the possibilities of integration processes and cooperation between high-tech industries of the countries of the Eurasian Economic Union (EAEU), taking into account trends in the digital transformation of the economy, is substantiated. The aim of the study was to develop models of clustering and interconnected digitalization of high-tech industries in the EAEU. The leading research method was the modeling of institutional interactions, cooperative ties, the possibilities of end-to-end digitalization and the procedure for evaluating its effectiveness. A structural model of institutional interactions of high-tech enterprises has been formed within the framework of cluster formations and technological platforms, contributing to innovative development. A conceptual model of legislative, infrastructural, scientific and technical conditions conducive to the formation of a single digital space is presented. A functional model of the interconnected digitalization of high-tech enterprises and the corresponding infrastructure of the EAEU countries has been developed. The block diagram of the procedure for evaluating the effectiveness of digitalization is presented.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - V.V. Avilova
AU  - F.N. Shaykhutdinova
AU  - K.S. Kuramshina
PY  - 2019/12
DA  - 2019/12
TI  - Models of cluster and digital integration of high-tech industries of the Eurasian Economic Union countries
BT  - Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)
PB  - Atlantis Press
SP  - 905
EP  - 911
SN  - 2352-5428
UR  - https://doi.org/10.2991/iscde-19.2019.46
DO  - 10.2991/iscde-19.2019.46
ID  - Avilova2019/12
ER  -