The aim of the study is the process of formation of strategic stability in Russia. In today's competitive environment with the transition to import substitution, the commercial sector of the economy needs to be modernized. In order to ensure the efficiency of the functioning of the commercial sector of the economy (in Russia, the commercial sector of the economy accounts for 82% of all enterprises and organizations), it is proposed to strengthen business reputation — the development of service-oriented business processes for the commercial sector of the Russian economy in the context of strengthening industry 4.0–4.1 on a single platform. As a tool, it is proposed to conduct monitoring according to unified balanced indicators for a more transparent vision of the economy of Russian enterprises and industries. The prospect of the research is the study of specific tools and aspects, which is a kind of reflection of the current trends, which in any case expect a targeted and modern approach, namely, it will serve to take prompt anti-crisis measures by top managers to save Russian enterprises from bankruptcy at any stage of their life cycle and transition of the national economy into an innovative and productive inclusive one. The article is of interest to specialists in the field of regional and municipal management, for researchers, lecturers, graduate students, undergraduates and students economic and managerial universities.
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This article touches on the problems of assessing the degree of readiness of industrial enterprises for digital transformation. Big data, robotics and material production can act as three interconnected elements that will facilitate the aggregation of digital and material components in every industrial sector, including the machine-building complex. Industry 4.0 provides tremendous opportunities for the world economy and Russia, including. This concept shapes the nature of future production. Instead of autonomous factories, Industry 4.0 will create interconnected networks of facilities, suppliers, partners, and customers. This will be facilitated by the creation of digital twins that form the conditions for the development of mechanisms for managing smart objects and global supply chains.
This article addresses the problems of energy security at the level of Russian regions, which is a particularly urgent in modern economic conditions characterized by global digitalization processes. In this case, the problem arises the need to develop mathematical tools for planning and assessing energy security in conditions of high uncertainty and fluctuations of the studied parameters of the external environment.
The paper presents the mathematical justification for the use of wavelet analysis and the construction of spaces of scaling functions in order to obtain the theorem of multifunctional analysis of economic parameters and indicators of regional energy security, based on many intervals and determining the corresponding wavelet spaces.
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