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Digital strategizing of industrial systems based on sustainable eco-innovation and circular business models in the context of the transition to Industry 5.0

https://doi.org/10.35854/1998-1627-2022-10-1006-1020

Abstract

Aim. The presented study aims to develop a theoretical basis and a conceptual approach to the digital strategizing of industrial systems based on the paradigm of sustainable eco-innovation development, circular business models, and the transformational impact of Industry 5.0 technologies.

Tasks. The authors propose a theoretical basis for digital strategizing; formulate definitions of digital strategy and digital strategizing of industrial systems; highlight the conceptual domain of digital strategizing; systematize the tools of digital strategizing based on eco-innovation and circular business models in the context of the transition to Industry 5.0 within the framework of the sustainable development paradigm.

Methods. This study uses assessment review to synthesize existing literature on digital transformation and strategy practice based on an eight-step guide for conducting an independent systematic literature review.

Results. The theoretical basis of digital strategizing is based on the co-evolution of approaches and schools of strategy. A distinction is drawn between the concepts of information systems strategizing and digital strategizing, digitalization strategies, digital transformation, and digital strategies. Original definitions of digital strategy and digital strategizing of industrial systems are proposed. A multi-perspective conceptual approach to the digital strategizing of industrial systems based on the integration of technologies, people, and various processes is developed. Relevant tools for the digital strategizing of industrial systems are developed.

Conclusions. In the context of the transition to Industry 5.0, the introduction of digital technologies in industrial systems is necessary, but it does not seem sufficient for success in the digital environment. Digital strategizing requires changing existing and/or creating new business models based on mindset transformation into a new way of working that would allow industrial systems to innovate using technology. Strategic imperatives that should serve as the basis for new business models for the digital strategizing of industrial systems include eco-innovation and circular business models within the framework of the sustainable development paradigm, as well as business models of Industry 5.0.

About the Authors

V. V. Glukhov
Peter the Great St. Petersburg Polytechnic University
Russian Federation

Vladimir V. Glukhov - D.Sc. in Economics, Professor, Head of the Administrative Office of the Rector (First Vice Rector)

29 Politekhnicheskaya str., St. Petersburg 195251



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

Aleksandr V. Babkin - D.Sc. in Economics, Professor, Professor of the Graduate School of Industrial Economics, Head of the Research Laboratory "Digital Industrial Economics", Peter the Great St. Petersburg Polytechnic University; Head of the Research Laboratory "Economic Security of the Region in the Digital Economy, Pskov State University

29 Politekhnicheskaya str., St. Petersburg 195251

2 Lenin sq., Pskov 180000



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

Elena V. Shkarupeta - D.Sc. in Economics, Professor, Professor at the Department of Digital and Industrial Economics, Voronezh State Technical University; Senior Researcher, Siberian Fire and Rescue Academy of the Russian Ministry for Emergency Situations

84 20-letiya Oktyabrya str., Voronezh 394006

Severnaya str., Zheleznogorsk, Krasnoyarsk Region, 662972



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Review

For citations:


Glukhov V.V., Babkin A.B., Shkarupeta E.V. Digital strategizing of industrial systems based on sustainable eco-innovation and circular business models in the context of the transition to Industry 5.0. Economics and Management. 2022;28(10):1006-1020. (In Russ.) https://doi.org/10.35854/1998-1627-2022-10-1006-1020

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ISSN 1998-1627 (Print)