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Assessment of adaptation of innovation potential of high-technology research-intensive enterprises to the conditions of digitalization and the concept of Industry 4.0

https://doi.org/10.18384/2949-5024-2023-4-54-62

Abstract

Aim. To develop methodological foundations for assessing the adaptation of the innovative potential of high-tech knowledge-intensive enterprises (GRE) to the conditions of digitalization and the concept of Industry 4.0.

Methodology. The research methodology is based on the following methods: content analysis of documents, graphic modeling, paired comparisons, construction of morphological matrices, nominal groups, analysis, comparison, diagnostic approach, interpretation of research results and some others.

Results. The main components of the innovative potential of high-tech knowledge-intensive enterprises and their changing trends in the conditions of digitalization and the concept of Industry 4.0 are proposed. A number of particular indicators of the components of the innovative potential of high-tech knowledge-intensive enterprises that influence the results of their activities in the context of adaptation to the conditions of digitalization and the concept of Industry 4.0 have been identified, and the indicators have been ranked by importance. As a result of application of the mathematical model of forecasting marginal income a number of additional most significant indicators were identified.

Research implications. The theoretical and practical significance of the study lies in the fact that the presented methodological framework for assessing the adaptation of the innovative potential of high-tech knowledge-intensive enterprises to the conditions of digitalization and the concept of Industry 4.0 will allow the formation of a methodological approach to monitoring its adaptation process at specific enterprises.

About the Authors

A. V. Zheltenkov
State University of Education
Russian Federation

Alexander V. Zheltenkov – Dr. Sci. (Economics), Prof., Department of Public Procurement, Management and Public Administration,

ul. Very Voloshinoi 24, Mytishchi 141014, Moscow Region.



S. S. Poloskov
Moscow Institute of Physics and Technology (national research university)
Russian Federation

Stanislav S. Poloskov – Director, Analytical Сenter,

per. Institutskii 9, Dolgoprudny 14170, Moscow Region.



M. L. Pleshkov
State University of Education
Russian Federation

Maxim L. Pleshkov – Postgraduate student, Department of Public Procurement, Management and Public Administration,

ul. Very Voloshinoi 24, Mytishchi 141014, Moscow Region.



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ISSN 2949-5040 (Print)
ISSN 2949-5024 (Online)