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Strategizing of forming a platform operating model to increase the level of digital maturity of industrial systems

https://doi.org/10.17073/2072-1633-2022-3-249-261

Abstract

The authors of the article suggest the strategy of forming a platform operating model to increase the level of digital maturity of industrial systems in the changing conditions of reality. They have analyzed the current situation on adapting industrial systems to the changing conditions of reality of 2022: the sanctions restrictions and the COVID-19 pandemic crisis. In analogy with the bionics companies concept the authors introduce the term of «bionic industrial systems» as the aggregate of economic entities which form the closed cycle of producing artificial products by machine and combine new technology with human ability of transforming operations on the basis of digital strategizing, develop the experience, customer relationships and more effective performance, increase the pace of innovation significantly. There is a conclusion that bionic industrial systems are characterized by the presence of digital strategies, high level of digital maturity which should be evaluated according to the index of digital acceleration. The authors suggest four strategies allowing transformation of industrial systems into bionic ones and maximize their value on the basis of digital strategizing. The use of platform operating model is considered to be the key distinctive feature of the bionic industrial systems. The article presents the strategy of forming a platform operating model of bionic industrial systems based on the model of digital transformation of the transactions of the Deloitte company. This is the structure describing the digital path on the basis of defining 10 evolution stages taking into account cybersecurity and digital culture. The digital industrial platform ZIIoT by the Russian IT-company «Tsifra» (Digit) has been studied as the best experience, and the authors present practical cases of its implementation in Gasprom, Lukoil, Novolipetsk Metallurgical Plant. The implementation of the strategy of forming a platform operating model in industrial systems is expected to result in reducing costs due to accelerated implementation of digital scenarios, additional income and opportunities of diversification through digital strategizing, etc. The authors introduce the concept of forming a platform operating model to increase the level of digital maturity of industrial systems.

About the Authors

V. L. Kvint
Lomonosov Moscow State University; National University of Science and Technology MISiS
Russian Federation

Vladimir L. Kvint – Academician, Foreign Member of the Russian Academy of Sciences, Dr.Sci. (Econ.), Professor, Honored Fellow of Higher School of the Russian Federation, Head of the Department of Economic and Financial Strategy of the Moscow School of Economics; Head of Center for Strategic Studies; Chief researcher of the Central Economic and Mathematical Institute of RAS, Scientific Director of the Faculty of Economics and Finance

1 Leninskie Gory, Moscow 119991;

4-1 Leninskiy Ave., Moscow 119049



A. V. Babkin
Peter the Great St. Petersburg Polytechnic University; Pskov State University
Russian Federation

Aleksandr V. Babkin – Dr.Sci. (Econ.), Professor, Professor of the Higher Engineering and Economic School, Scientific Director of the Laboratory «Digital Economics» of Industry

29 Polytechnicheskaya Str., St. Petersburg 195251;

2 Lenin Sq., Pskov 180000



E. V. Shkarupeta
Voronezh State Technical University; Siberian Fire and Rescue Academy of the Ministry of Emergency Situations of Russia
Russian Federation

Elena V. Shkarupeta – Dr.Sci. (Econ.), Professor, Professor of the Department of the Digital and Industrial Economics; Senior Researcher, Siberian Fire and Rescue

84 20-letiya Oktyabrya Str., Voronezh 394071;

1 Severnaya Str., Zheleznogorsk, Krasnoyarsk Territory 662972



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Review

For citations:


Kvint V.L., Babkin A.V., Shkarupeta E.V. Strategizing of forming a platform operating model to increase the level of digital maturity of industrial systems. Russian Journal of Industrial Economics. 2022;15(3):249-261. https://doi.org/10.17073/2072-1633-2022-3-249-261

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ISSN 2072-1633 (Print)
ISSN 2413-662X (Online)