One of the current problems in the industrial complex is the issue of resource saving and energy efficiency, which is confirmed by the relevant government programs, strategies, regulatory documents. The solution of the problem of increasing the efficiency of the organization of production systems requires the definition and development of the necessary mechanisms, in particular, by automating production processes. The article analyses the key trends in the development of the concept of “industry 4.0” in the petrochemical industry. The factors influencing efficiency of the organization of production systems are revealed. The main directions promoting development and improvement of the organization of production are defined. It considers the basic tools of process improvements, process automation, petrochemical plants: work on the system of just-in-time, 5S system of rationalization of the workplace, different information systems, particularly ERP systems, CALS-technologies. Advantages of automation of production processes at the enterprises of petrochemical complex are defined.

The purpose of this article is to analyze the trends in the development of the financial sector, as well as the digital technologies used in this area, to identify the fundamental drivers for improving the ecosystem of the financial sector of the economy. Achieving sustainable business growth is one of the urgent tasks of management, both at the level of individual enterprises and organizations and the national economic system as a whole. This issue is of the highest relevance in the context of the high dynamism of the external environment and the growing level of uncertainty. When writing the article, the following research methods were used: trend analysis, visual graphical analysis, descriptive statistics, correlation-regression analysis, and cross-tabulation. Based on the results of the analysis, it can be concluded that the following indicators have the greatest impact on the ecosystem of the financial sector: the share of financial organizations that had special software for managing the procurement of services; the share of financial organizations that had special software for managing the sales of services. With regards to the Russian financial sector, there is a weakness in the development of the ecosystem, which is partly due to the insufficient use of complex digital solutions in managing financial flows, for example, the use of ERP systems (enterprise resource planning), CRM systems (customer relationship management), and SCM systems (supply chain management). We believe that the conclusions and results presented in this article can be used as methodological tools for developing strategies for improving the ecosystem of the financial sector in the context of the transition to a digital economy.

The economy is in a state of transformation into a new system, and it is quite realistic that economic entities will be under the influence of certain risky moments. The process of risk analysis and management should be considered by an enterprise as an integral part of enterprise management in extreme conditions of the economic development trajectory and be a guarantor of financial insurance. The goal of this study is the formation of a process approach in enterprise management—the creation of a universal risk management system based on the proposed risk management model to minimize the financial risks of an enterprise. We propose a risk management system that influences the forecasting of financial stability of an enterprise. To form the risk management system, we propose a model of an organisational system, the structural elements of which correspond to the principles of completeness, information capacity and consistency. We identified the diversity of direct and inverse relationships between factorial and productive characteristics, which indicates the complexity of the organisational system management process. The presence of “bottlenecks” in the implementation of expert systems tools was also noted. This was expressed in the difficulty of acquiring the knowledge necessary for the development of meaningful systems and structuring the knowledge gained in a form that is convenient for use. We used the method of qualitative modelling using the apparatus of weighted directed graphs. The study allowed us to formulate a list of factors that characterize the main activities of an enterprise in order to form a mathematical model of enterprise risk management. The developed predictive model is used to simulate extreme events and risks in the process of enterprise development, as one of the foundations of the enterprise management system in the conditions of economic transformation.

The territory of the Arctic is of interest from the point of view of the strategic development of the economy. However, the industrialization of the Arctic zone is accompanied by both a positive and a negative influence on the country’s socio-economic development. An analytical review of the research which has been published previously allows us to discuss the issue of sustainable development in the Arctic through the prism of the theory of externalities. Considering this, the paper examines some relevant issues from the standpoints of the concept of sustainable development and scientific and technological progress. Against the background of the identified problems, the purpose of the research is to clarify management decisions in the field of internalization of the externalities of economic development of the Russian Arctic zone. As research methods, the authors have applied comparative analysis, dynamic analysis, the coefficient method, correlational analysis and cluster analysis. An analytical review of scientific works, research tooling and a statistical database concerning the development of the Russian Arctic zone provided the following scientific results: the category of “externalities” in the context of industrialization of the Arctic zone’s territories and their systematization in a number of areas (environmental, innovation, investment, infrastructure, social, etc.) has been clarified; some trends in the degree of neutralization of negative environmental externalities in terms of environmental problems (pollution capture, waste disposal, recycling and wastewater treatment) have been identified; the dynamics of investment per unit of environmental pollution in the context of environmental approaches have been elucidated; the efficiency of investments in environmental preservation measures in the territories of the Russian Arctic zone have been evaluated; positive innovative externality from the investment of own funds in the fixed capital of enterprises have been revealed; the typology of the subjects of the Russian Federation that form part of the Arctic zone, according to the criteria of the intensity of costs for neutralization of negative externalities (territories with high, moderate and low intensity of costs) have been suggested; and a package of measures in order to manage the external effects of economic development of the Arctic zone of the Russian Federation in the context of sustainable development has been proposed. The practical significance of the results obtained lies in the possibility of taking all of them into account in the implementation of the state program “Socio-economic development of the Arctic zone of the Russian Federation”, contributing to the qualitative development of the territories of the Russian Arctic and improving the well-being of the population of the corresponding constituent entities of the Russian Federation.

Globally, assessing sustainable development methodology is kept in sustainable society index (SSI) format, but at the level of meso- and microsystems it remains undeveloped. The aim of the study is to typologize innovative mesosystems in Russian industry in the context of sustainable development based on the CART algorithm and to develop an algorithm for identifying priority areas of sustainable development. The research methods applied included formalization, a systematic approach, and the CART algorithm (calculation of the Gini index, training sample segmentation, the use of a recursive function and regression assessment). As a result of the study, the algorithm for the differentiated identification of innovative mesosystems sustainable development priority directions in industry based on the unique author’s methodology (ISDI) is proposed. The predominance of mesosystems with weak level of sustainable development requiring state support in favor of such mesosystems restructure is revealed. The novelty of the research lies in the development of new science-based solutions to ensure an accelerated transition of industry to the path of sustainable development. The difference of the author’s approach from the provisions known in science is the inclusion of environmental innovations in the mechanism for managing the sustainable development of innovative mesosystems and subsequent accounting in the process of mathematical processing of an array of data, which determines the uniqueness of the constructed decision trees.

Digital transformation is a process of mass introduction and use of digital technologies and innovations in business processes of enterprises resulting in increased production effiency and reduced costs. The article reveals main issues of digital transformation process in conditions of technological sovereignty strengthening. The purpose of the study is to identify main challenges and problems of digital transformation in conditions of technological sovereignty on the basis of statistical analysis techniques. Inthe process of research, such scientifi and practical methods as comparison, method of analysis and synthesis, and statistical data for monitoring main costs of enterprises for digital environment development have been used. Main challenges of digital transformation have been analyzed, and a number of problems and barriers to digital transformation identifid, such as the lack of necessary digital competencies, lack of digital strategy and appropriate personnel, and others that prevent digital processes from being fully realized within enterprises. Statistical data on gross domestic expenditures and expenditures of enterprises and households on digital economy development has also been analyzed. Statistical compilations and reports of the Higher School of Economics have been used in order to monitor and analyze relevant statistical data.