Methodological Approaches and Features of Formation of the Digital Image of Sectoral Socio-Economic Systems (Through the Example of the Logistics System for Military Customers)
https://doi.org/10.35854/1998-1627-2020-7-750-758
Abstract
The presented study examines the specific sectoral aspects of formation of the digital image of socioeconomic systems. The subject of the study is the logistics system for military customers.
Aim. This study aims to examine the problems and prospects of forming a promising digital image of the key element of military-economic relations — the logistics system for military customers. At the same time, the digital transformation of this system is considered not as an independent phenomenon, but in the context of a broader trend involving organizational and technological transformations.
Tasks. The authors identify stages in the development of theoretical ideas about the organizational transformations of the examined system; consider the key technologies that can serve as a basis of the digital logistics system for military customers; formulate the principles of operation of this system based on the provisions of the ecosystem approach.
Methods. The study uses the methodology of the ecosystem approach, military-economic and evolutionary analysis, methods of grouping, comparison, and expert assessment.
Results. Digitalization is found to be one of the key trends in modern socio-economic development. However, the studies of this phenomenon remain insufficiently diverse from the sectoral perspective. The digitalization of military-economic processes is a particularly underexplored area. The authors propose to consider it in the context of not only general socio-economic, but also specific sectoral organizational and technological transformations associated with the improvement of the national (military) security system. It is established that this approach is new and integrates previous directions of Russian research into the transformations of the examined complex sectoral socio-economic system. The conducted analysis indicates that the following key technologies can serve as a basis for an advanced digital logistics system for military customers: Internet of things; big data; cloud technologies; artificial intelligence; virtual and augmented reality; blockchain; process automation; additive manufacturing. When developing such a system, it is recommended to apply the principles of transparency, modularity, platform approach, integrality, and network nature.
Conclusions. The conducted study shows that the formation of the digital image of socio-economic systems has peculiar industry-specific features that should be taken into account when creating and developing such systems. In particular, the study highlights this specificity in relation to the logistics system for military customers. The formulated theoretical provisions and practical recommendations can be used to improve this system.
Keywords
About the Authors
E. E. AbdurakhmanovaRussian Federation
Elnara E. Abdurakhmanova - Candidate for a Degree of the Department of Material Support Military Academy of Logistics Named after Army General A.V. Khruleva.
Makarova Emb. 8, St. Petersburg, 199034.
S. A. Zamchalov
Russian Federation
Sergei A. Zamchalov - Candidate for a Degree of the Department of Material Support Military Academy of Logistics Named after Army General A.V. Khruleva.
Makarova Emb. 8, St. Petersburg, 199034.
V. A. Plotnikov
Russian Federation
Vladimir A. Plotnikov - Doctor of Sciences (Economics), Professor, Professor of the Department of General Economic Theory and the History of Economic Thought St. Petersburg State University of Economics, St. Petersburg University of Management Technologies and Economics.
Sadovaya Str. 21, St. Petersburg, 191023; Lermontovskiy Ave 44/A, St. Petersburg, 190103.
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Review
For citations:
Abdurakhmanova E.E., Zamchalov S.A., Plotnikov V.A. Methodological Approaches and Features of Formation of the Digital Image of Sectoral Socio-Economic Systems (Through the Example of the Logistics System for Military Customers). Economics and Management. 2020;26(7):750-758. (In Russ.) https://doi.org/10.35854/1998-1627-2020-7-750-758