Volume 19, Nº 4 (2024)

Introduction. The legislative acts adopted by the country’s leadership determine the relevance of the research topic, while their execution brings forward certain difficulties. It is considered to be a challenge for the state to simultaneously promote the economic growth of the Russian regions, comply with the requirements for sustainable development of territories, and reduce the use of energy resources for production. Purpose. The purpose of the research is to determine the electrical capacity of products and its impact on the sustainable development of regional economies in order to adopt appropriate typological decisions by authorities. To do this, the growth rates of industrial production and electricity consumption were calculated. Materials and Methods. The study refers to 2017–2022 Rosstat data on industrial production, energy consumption, and gross regional product. The basic method is applied to calculate the growth rates, and the grouping method is used to analyze the findings. Results. The article considers a possible solution to a two-pronged problem when the authorities manage the growth rates of both industrial production and its electrical capacity. The findings reveal similar characteristics among the regions, which could categorize them intro groups. These groups show region-oriented electricity consumption, electrical intensity, and the developed structure of branches in regional economies, and could determine the impact of ongoing processes (indicators in questions) on the gross regional product. The proposed approach has both theoretical and practical significance: it facilitates the adoption of reference management decisions by regional authorities to manage the growth rates of independent variables. Conclusions. The study is relevant as it words the research problem, proposes the assessment methodology for the growth rate of electrical capacity of industrial products, determines its impact on the sectoral structure of gross value added (sections B, C, D, E), which constitutes the gross regional product.

Introduction. Artificial intelligence (AI) is a field of computer science aimed at creating systems to perform tasks that require intellectual abilities. Digital economy combined with AI creates new opportunities, including optimized administrative routine tasks executed by the heads of modern commercial organizations. This gives the relevance to the present research. Purpose. The purpose is to study trends in AI development for optimized routine administrative tasks, outline perspective areas for its further development. Methods. The study refers to general traditional scientific methods: deduction, analysis, systematization. Results. The author explores the trends in the development of artificial intelligence, reviews and describes the technologies and methods of its use in management. The use of AI technologies in the Russian enterprises is also looked at. Conclusions. The study reveals that the introduction of AI technologies to deal with administrative routine tasks provides an opportunity to simplify and accelerate the work of employees, and improve production efficiency. This causes many Russian companies to start using AI in their activities or further integrate it into the management process.

Introduction. Digital transformations permeate the organizations at all levels of management and interaction circuits. This trend has become an objective reality of modern business, with its importance and influence growing. The logic of the research is determined by a decomposition approach applied to assess the digital maturity of an enterprise. This approach is developed as follows: 1) internal microcircuit of interaction – business processes and internal environment – metrics of internal microcircuit (automation, tools, skills, information); 2) external mesocircuit – interaction with partners and customers – metrics of external mesocircuit (compatibility, platforms, integration, data); 3) external macrocircuit – adjustments in business models and processes to the environment – metrics of external macrocircuit (economy, politics, technology, competition). The proposed decomposition is universal and modifiable in terms of indicators and factors, depending on a specific research request. Purpose. The article is aimed at supporting a decomposition approach to measure the digital maturity of an organization with the metrics of digital development in micro-, meso-, and macrocircuits. Materials and Methods. The article refers to the methods of systematization and generalization of information, comparative analysis, logical and structural decomposition and modeling. Results. The proposed approach is derived from the structural decomposition of business digital maturity metrics in micro-, meso-, and macrocircuits. This approach measures digital maturity both separately in relation to each circuit and holistically, which gives a chance to develop a rational digital strategy when each circuit has its innovative changes proportionally. In addition, the author’s approach is complemented by the theory of the stage organizational evolution, which describes the maturation stages of an organization on the digital maturity scale and defines further fundamental adjustments of the digital strategy. Conclusions. Measuring the digital maturity of business determines the current state of an organization's performance in digitalization, as well as outlines promising directions for innovative development. The decomposition approach used to assess digital maturity provides an additional set of data that tracks similar dynamics of digital changes in each circuit of organizational interaction.