Volume 13, Nº 1 (2023)

This article describes the economic causes and preconditions of the aggravated global imbalances, high rates of global inflation and non-standard dynamics in the energy markets. On the basis of the analysis of global trends and macroeconomic processes in Belarus, the possible factors that can affect the reduction of aggregate supply in the Belarusian economy in the near future is revealed. The article reveals the specifics of short-term adaptation dynamics of the Belarusian economy in the framework of the current processes and possible scenarios of their development in the future associated with the beginning of the global transition to post-capitalism. The underlying risks in this connection have also been identified. As a result of the analysis of the negative risks of the vertical platform model, the following conclusion is made. Digital consensual decentralized planning can represent the basis of the Belarusian economic strategy and the optimal paradigm of integration processes in the Eurasian space.

The article is devoted to the implementation of the concept "Ecology, personnel, state" in Russia. The results of a comparative analysis of the Western and Russian concepts of sustainable development are presented. The basics of public administration by the implementation of the concept "Ecology, personnel, state" are considered. As a result of the analysis of the situation on the labor market over the past 5 years, it has been found out that the Central Federal District has the largest number of mentions in the geography of presence of organizations with a high level of sustainable development. Therefore it is proposed to consider this macroregion as a pilot region for the formed block of management measures aimed on the development of tools for diagnostics and management of the implementation of the concept "Ecology, personnel, state". Particular attention is paid to the pronlems of stimulating the development of points of growth within the framework of managed factors of personnel stability.

The article analyzes the possibilities of financing innovation activities in Russia in the context of a sharp deterioration in foreign policy relations with developed countries and the introduction of unprecedented financial and technological sanctions. The impact of sanctions and other unfriendly actions of Western states on the national innovation financing system is examined. The prospects for maintaining investment indicators in this critically important area at the level necessary to ensure technological sovereignty and international competitiveness of Russia are considered. The article substantiates the conclusion that the leading role in increasing investment in innovation should be played by domestic business, which has lost access to foreign technology and products as a result of sanctions and is objectively forced to invest in the creation of its own competitive analogues. At the same time, the improvement of mechanisms of state financial support for innovative entrepreneurship, including the current system of tax benefits, would contribute to the growth of domestic spending on RD.

The author describes the object of industrial policy. First, the concept of industry as a scientific category is defined. The main features and criteria for industrial activity are described. The approach to the classification of types of activities in domestic and international practice is considered; the relevant explanations are given. Then, the specifics of the industrial policy object are considered. The existing mobility of the composition of the considered object is defined; and the existing trends are characterized. Further, the conditions of the industrial complex in the modern period are characterized. The factors causing the formed conditions are considered. In the current realities of a limited open economy, the priority of long-term development of the country's industry becomes the achievement of technological sovereignty.

Amidst digital transformation, there is a global revision of the behavior patterns of economic actors, as well as the ways of interaction between them. The author identifies qualitative changes in consumer behavior associated with hyperpersonalization and the growth of cognitive capabilities as a result of digital technology implementation. Significant transformations in the activities of companies are shown. They include the application of fundamentally new approaches to business and operational models. Based on the analysis, the conclusion about signs of digital transformation in the modern economy and its advantages for the consumer and the company is made. Separate problems arising in connection with digital transformation are considered. They are as follows: algorithmic discrimination, the problem of trust and information asymmetry. The materials presented in the article may be of interest to researchers dealing with the digital transformation of the economy. The research results can be useful for practitioners whose field of activity is related to digital business. The research results can be used in the educational process at economic faculties during the study of digital economy and digital commerce.

The progressive, dynamic development of the economy and digital transformation are inextricably linked with new end-to-end digital technologies, such as machine algorithms of artificial intelligence, Big Data, as well as the implementation of digital engineering capabilities. In this regard, the research related to modelling the specifics of digital transformation in Russia, the decision-making process using the capabilities of artificial intelligence and other end-to-end technologies in digital engineering implementation programs can be recognized as relevant.The scientific novelty consists in the development of the theoretical foundations of the digital economy, in particular, in clarifying the conceptual and categorical apparatus, modelling the digital transformation of an organization, the process of making IIoT decisions by Russian companies and the IIoT maturity of decisions made, as well as in identifying the specifics of end-to-end technologies in digital engineering.The introduction of end-to-end technologies, including artificial intelligence systems and neural networks as part of the implementation of digital engineering projects, is one of the most relevant and promising areas within the framework of digital transformation and the development of digitalization of the Russian economy.The research results can be useful for specialists and experts in the IT and business spheres, scientists engaged in the study of socio-economic aspects and specifics of artificial intelligence algorithms, managers of digital engineering projects, as well as representatives of state authorities engaged in the digital transformation of regions.

The theoretical foundations necessary to identify the features of neural networks and artificial intelligence systems in the digital transformation of the electric power industry are presented. The need for such a study is caused by the difficulties of implementing end-to-end digital technology in all companies, including the electric power industry. Neural networks and artificial intelligence systems allow to automate most of the repetitive intellectual work. Such routine activities can be performed by neural networks and artificial intelligence more efficiently. Modern chatbots and other prototypes of future more advanced artificial intelligence systems have shown their high efficiency. A partial problem lies in the fact that most managers of the electric power industry and other managers do not have the competencies necessary to use neural networks and artificial intelligence in practice. The refusal of unfriendly countries to supply new information technology necessary for the normal operation of neural networks and artificial intelligence systems is another problem. Traditional information processing in existing management systems does not allow for an economic breakthrough and a rapid digital transformation. In addition, the analysis of methods of description and formalization of neural networks and artificial intelligence systems for further use in automated complexes of the power companies was carried out.

Achieving the sustainable development goals is the task of all states, both developed and developing ones. At the same time, almost all countries are switching to a digital economy. E-commerce is the core of the digital economy. It can have both positive and negative effects on achieving these goals. The maximum positive effect can be achieved with the interest of Internet companies and consumers themselves. The results of the study showed the need to increase the awareness of online shoppers about the impact of their behavior on the Internet on the achievement of sustainable development goals. Leading Internet companies are implementing sustainable development goals in their activities, related both to the environmental component and to the elimination of any kind of inequality and discrimination. The possible policy directions of e-commerce companies for maximum contribution to the achievement of sustainable development goals are identified. The results of the study may be of interest to students, postgraduates, researchers engaged in e-commerce research and sustainable development issues, as well as representatives of Internet companies.

The key concepts and principles related to the digital transformation of such a key area of enterprise activity as customer relationship management are considered. The importance of the transition from product-oriented CRM to customer-oriented and the difficulties that arise in this case are discussed, since existing CRM usually perform accounting and control functions, but do not allow managing relationships with a large number of customers in a dynamic mode, taking into account feedbacks. It is shown that automation of a significant part of customer relationships allows to increase the effectiveness of the entire interaction system. Working with client data allows to better understand customer requests and build long-term relationships. The real-time translation of CRM will ensure high customer focus of the campaign and operational efficiency. The proposed approach is designed to help the management of enterprises to prioritize the further development of customer relations with an increase in the level and quality of feedback and innovation activity. This article may be of interest to researchers whose area of interest includes innovative trends in management, customer satisfaction and the effectiveness of companies' digitalization. The research results can be useful for practical managers who develop and implement enterprise strategies in the field of customer service and digital transformation.

The article presents methodological support in the form of a developed decision-making algorithm for formalizing a decision support system based on logical-linguistic knowledge modeling and a situational approach to management. The methodological support is adapted for making investment decisions in hedge funds, taking into account the parameters and limitations of the financial market specifics using cross-sectoral and cross-functional risk management. The algorithm is based on the hedge fund digital twin by selecting and digitizing the main parameters and indicators to solve problematic situations in investment management for hedge funds and other financial market participants. The developed recommendations in the form of an alternative network diagram were tested in the process of making investment decisions of a hedge fund with a refined characteristic of flows between elementary objects of the system and a description of the interaction of elementary objects in a digital twin and a frame representation of knowledge for decision making.

The active introduction of digital technology significantly changes the traditional mechanisms of financial relations. Financial ecosystem is one of the forms of manifestation of this transformation. The article highlights the key features of financial ecosystems and discusses their classifications. Particular attention is paid to identifying the reasons for the formation of an ecosystem on the basis of credit institutions. On the example of Sberbank, influence of investment in building an ecosystem on the financial performance of the aggregator company was determined. The author offers recommendations for improving the state regulation of financial ecosystems.

The application of machine learning methods in human resource management is considered. The main tasks of personnel management, which can be solved by the methods of artificial intelligence and machine learning, are highlighted. The analysis of various platforms of artificial intelligence in the procedures for working with personnel was carried out. A brief description of machine learning methods, primarily related to the category of supervised ones, which are able to find solutions to selected problems in the specified area, is given. Practical examples of the implementation of a number of such tasks that are performed in the MatLab software product with obtaining specific results in recruiting, staff selection and training are given. The ways of further research on the involvement of artificial intelligence methods in the personnel management tasks are indicated.

Amidst the development of the digital economy, digital competitiveness is of great importance for the economic security of the country. The COVID-19 pandemics and subsequent crisis phenomena, measures specifically taken by the state, the desire to obtain competitive technologies through modern information technology, as well as the general interest of stakeholders are forcing Russian business to embark on the path of digital transformation. In the article, the authors analyze the conditions that encourage organizations of various industries to create conditions for the creation and implementation of digital innovations. Based on the study of modern practice, the role of higher education institutions in the formation of an innovative agenda and training for digital transformation is determined.

The results of the authors' research make a certain contribution to the study of the problem of obtaining grants from the Russian Science Foundation and the President of the Russian Federation allocated to support and develop the universities' scientific and innovative activities. A set of Russian universities, which are the most frequent recipients of grants, was the object of the study. The authors carried out a correlation analysis between the number of grants received by these universities and their performance indicators, such as the average score of the Unified State Exam, the number of publications, the proportion of teaching staff with academic degrees, the average salary and a number of other indicators for the period 2020-2021. The hypothesis about the concentration of state grant support in a small group of universities and the maximum concentration of grants for universities in two cities of federal significance Moscow and St. Petersburg, as well as the hypothesis about the existence of a relationship between the number of grants received by universities and the quality of publications affiliated with them, was tested. The results of the authors' research are of interest to the heads of scientific departments of universities, as well as to the authorities that form the scientific policy of the state.

The article is devoted to the actual problem of managing the processes of digital transformation at the level of the constituent entities of the Russian Federation. For the first time, a methodology for evaluating approved regional strategies in the field of digital transformation has been developed. The methodology is based on a set of basic and additional criteria. The basic criteria contain a minimum list of requirements for the quality of the strategy development in the field of digital transformation; and the additional ones contain an expanded list of requirements, reflecting regional specifics. 55.3% of regions are among the constituent entities of the Russian Federation with a sufficient level of elaboration of strategies according to basic criteria; and 40.0% of regions are among the constituent entities of the Russian Federation with a sufficient level of elaboration of strategies according to additional criteria. The analysis of the relevant regulatory framework in the field of digital transformation and digital development has been carried out; and priority projects that are planned to be implemented in the constituent entities of the Russian Federation in the near future have been identified. The article is intended for specialists in the field of public administration, experts in the field of digital transformation and digital development, employees of federal and regional authorities.FUNDING.The article was written with the support of the Russian-Chinese Research Center for Digital Economy.

The creation of a digital economy in the Siberian Federal District and the country as a whole is the main course of the state for the innovative development. To do this, it is advisable to study the factors contributing to or constraining digital technology. It is necessary to monitor on an ongoing basis. This will allow to assess the situation of each subject of the Siberian Federal District and outline options for the implementation of digital technology.The article analyzes the level of digital technology development within the subjects of the Siberian Federal District. The author identified disadvantages of digitalization, such as lack of financial resources, insufficient possession of digital competencies, underdevelopment of infrastructure, etc. Particular attention is paid to the analysis of the general and commercial purposes of using the Internet. The author suggests ways to increase and develop the digital potential of the subjects of the Siberian Federal District.The results obtained are of practical importance, as they allow to outline trends in the growth of digital potential for individual subjects amidst uncertainty.

The article provides overview of the development of digital economy in China. Regarding the current situation of China\'s digital economy, the authors analyze it from both international and domestic perspectives. The authors analyze the problems existing in the development of China\'s digital economy from five aspects: infrastructure, industrial integration, talents needed for innovation and development, residents\' digital literacy, and laws and regulations, and therefore puts forward suggestions based on the corresponding problems.The statements and conclusions are based on modern scientific research and public statistics presented in 21 bibliography points.

The article examines the importance of intellectual resources in the evolution of the national innovation-oriented economic system of the Republic of Belarus. Separate economic indicators of innovative development of the country as the effectiveness of the use of intellectual resources are analyzed. Statistical characteristics of intellectual resources are given. The state strategic and program documents defining the retrospective of the innovative economy are studied. The attention is focused on identifying the role of intellectual resources and the importance of their development in the system of the national innovation system. The conclusion about the gradual but insufficient increase of the intellectual resources' role in the system of state priorities, as well as the need for additional measures for their development is made.