An interdisciplinary approach to management allows for the integration of knowledge and tools of different fields of science into a unified methodology in order to improve the efficiency of resource management of different kinds of systems. In the conditions of global transformations, it is economic systems that have been significantly affected by external destabilizing factors. This determines the focus of attention on the need to develop tools for the modeling and optimization of economic systems, both in terms of organizational structure and in the context of resource management. The purpose of this review study is to identify the current gaps (shortcomings) in the scientific literature devoted to the issues of the modeling and optimization of economic systems using the tools of mass service theory. This article presents a critical analysis of approaches for the formulation of provisions on mass service systems in the context of resource management. On the one hand, modern works are characterized by the inclusion of an extensive number of random factors that determine the performance and efficiency of economic systems: the probability of delays and interruptions in mobile networks; the integration of order, inventory, and production management processes; the cost estimation of multi-server system operation; and randomness factors, customer activity, and resource constraints, among others. On the other hand, controversial points are identified. The analytical study carried out allows us to state that the prevailing majority of mass service models applied in relation to economic systems and resource supply optimization are devoted to Markov chain modeling. In terms of the chronology of the problems studied, there is a marked transition from modeling simple systems to complex mass service networks. In addition, we conclude that the complex architecture of modern economic systems opens up a wide research field for finding a methodology for assessing the dependence of the enterprise performance on the effect of optimization provided by using the provisions of mass service theory. This statement can be the basis for future research.

The best available techniques (BAT) today serve as a tool to overcome the turbulence of economic processes. The purpose of the study is to substantiate the role of the best available techniques for modern Russian industry in the face of new challenges. The author’s position is based on a broad view of BAT that goes beyond environmental aspects. In this regard, a conceptual model of BAT is proposed, based on the idea of harmonizing the development goals of industrial systems against the background of sanctions pressure on the Russian economy and technological backwardness of domestic manufacturing enterprises, and convergence of key trends in industrial development, in particular, sustainable development, the ESG concept, the green economy and the closed-loop economy. A distinctive feature of the author’s approach is the expansion of the boundaries of the potential effect, taking into account its correlation with global trends in industrial development. It is proved that the BAT are able to play the role of a springboard to achieve technological sovereignty of Russia. The formulated scientific provisions can be taken into account within the framework of the development of the BAT methodology.

A research framework is formed by the semantics of the “green” macrosystem, supported by a methodological approach, data analysis, and forecasting, with a focus on the dynamics of transition to a qualitatively new state. The purpose of the work is to develop conceptual provisions and methodological tools for assessing the implementation of the concept of a “green” macrosystem. Applying methods of system analysis, content analysis, formalization, statistical analysis (technologies of knowledge discovery in databases and time series analysis), and discriminant analysis contributed to achieving the goal. As a result of the research, the categorical apparatus of a “green” economy was clarified by outlining narrow and broad approaches to defining the “green” macrosystem; the author’s method of assessing the implementation of the concept of the “green” macrosystem was modified by expanding the list of factors of greening the economic system, transforming the condition of the “green” corridor to calculate the developed dynamic coefficient of transition to the concept of the “green” macrosystem (DCGM), and adapting the method to the macrosystem level; the regularities of a transition to the concept of a “green” macrosystem were revealed. The novelty of the study lies in the proposal of an integral DCGM indicator, which avoids the problems of normalization, weighting, and loss of relevant data, incorporates the determinants of the “green” economy (natural resources and pollution), and relies on available data. The formulated provisions develop the theoretical basis on which to transform the macrosystem to the “green” concept and can be taken into account in the implementation’s framework of strategic planning documents for the greening of production and economic systems.

With the tightening of environmental regulations, the need to identify tools that foster the development of sustainable systems is growing. The shift toward closed-loop, bio-like systems promotes the creation of nature-inspired systems. However, the transformation processes and toolkits vary across meso-level systems with differing economic activity. This research reveals the patterns of formation and develops governance models for the evolution of nature-inspired systems, considering the specifics of digital transformation and innovative activity in ensuring environmental security. Methodology includes the following: correlation and regression analysis, factor and cluster analysis, along with automated neural network simulations. The study resulted in the expansion of conceptual frameworks for “nature-inspired system” formation; revealed dependencies between the formation of a nature-inspired macrosystem and mesosystems, while identifying growth hotspots for nature-inspired systems in Russia; identified the priority determinants of nature-inspired mesosystem formation; proposed a composite index (DNIS—Development of a Nature-Inspired System) to assess the cumulative impact of determinants and evaluate ecological performance responses; and developed a typology of regional mesosystems based on economic/ecological performance and “green” technology adoption, enabling differentiated approaches to guiding nature-inspired system development. The findings presented in this study are recommended for applications in improving regional socio-economic development programs.

Under the conditions of sanctions restrictions, Russia’s modern macroeconomic system is aimed at technological development, digitalization, sustainable development and greening of production and economic systems. The key problem of the functioning of economic systems is the limited resources, which determines the emergence of “bottlenecks” and queues. As a result, this affects the efficiency of the entire system and its competitiveness. One of the key conditions for achieving the goals of sustainable development is the development of nature-like technologies and their introduction into industry. The purpose of the study is to identify the theoretical aspects of nature-like technologies, to identify their potential for implementation to achieve sustainable industrial development. The scientific origins of the concept of developing the topic of nature-like technologies are analyzed, and the categories “nature-like technologies”, “nature-inspired algorithms”, and “nature-inspired systems” are defined. The principles of nature-like technologies that contribute to solving environmental problems, resource independence, economic efficiency, and technological development are summarized. The transformation of traditional production systems into mesosystems by analogy with natural ecosystems is considered. It is proved that this approach, which underlies the closed-loop economy, allows us to go beyond the introduction of individual “green” technologies and achieve a synergistic effect. To systematize the analysis, a classification of nature-like technologies is proposed and the main directions of their use in industry are identified. The following conclusions are drawn: the introduction of nature-like technologies gives a measurable and significant effect in three areas of sustainable development: 1) economics – reducing costs, creating new value; 2) ecology – reducing emissions, optimizing resources; 3) social sphere – creating safe working conditions and a favorable environment for human life and health. The economic effect of the introduction of nature-like technologies is one of the key drivers of their scaling. When making managerial decisions, it is necessary to consider that the introduction of nature–like technologies is a strategic investment in ensuring the competitiveness of the mesosystem and its resource independence. At the level of the country’s top leadership, it is necessary to develop and implement incentive measures for projects that implement the principles of nature-like technologies at the system level.

The Russian economy is at the stage of transition to a new model based on sovereignty, in particular, techno-logical. Its provision today is one of the most important tasks, the solution of which is aimed at industrial pro-jects. The present study presents the conceptual basis of the phenomenon of “technological sovereignty”, which expands the understanding of the problem under study and takes into account the current trends in the development of industrial systems. The stages of formation of technological sovereignty specific to the Russian reality are highlighted. Based on the analytical data of the Bank of Russia, the author’s methodology for evalu-ating the effectiveness of industrial systems is proposed, adequate to the identified stages of the development of technological sovereignty in Russia, taking into account the resource sources of the growth of the efficiency of industrial systems and tested on the example of a number of industries. Conclusion dwells upon the fact that the ratio of efficient and inefficient industrial systems in Russia at different stages of the formation of techno-logical sovereignty has changed.