Vol 3, No 1 (2024)

Articles

Mathematical modeling of the distributions of entity-content message properties in the informational background

Konnikov E.A.

Abstract

the purpose of the study is to mathematically model the distributions of entity-content message properties in the informational background, particularly in the context of multimodal data. Methods: The research incorporates statistical methods for analyzing distributions using gamma and multivariate normal distributions. Probability and statistics methods are heavily utilized to model the intensity and frequency of informational signals. Findings: Mathematical models have been developed that allow for the approximation and analysis of the intensity and frequency of thematic entities in the informational background. The models are based on gamma distribution for intensity analysis and multivariate normal distribution for frequency, providing a deep analytical insight into the data structure. Conclusions: The developed distribution models not only describe but also predict the characteristics of the information flow. This opens up new possibilities for analysis and planning of information policy, especially in the context of corporate management and media planning.
Economic Bulletin. 2024;3(1):4-13
pages 4-13 views

Institutional factors of legal aid cost formation

Batalov A.G.

Abstract

the purpose of the study is to identify the institutional factors influencing the formation of the cost of legal aid. To achieve this goal, the following tasks are solved: analysis of the role of judicial institutions and the attitude of courts to the formation of the cost of legal aid, analysis of the role of the institute of advocacy in the formation of the cost of legal aid, the impact on the formation of the cost of legal aid of such institutional categories as "market price", "average cost", "reasonable restrictions". The practical application of the research is that its results can be used in legislative work in the field of the development of the Institute of advocacy.
Economic Bulletin. 2024;3(1):14-17
pages 14-17 views

Push (nudge) technologies in healthcare

Blagoveshchenskaya O.K., Skrylnikova N.A.

Abstract

there is a trend towards an increase in the use of push (nudge) technologies, that is, entailing constructive changes in the way options are presented in order to direct the user to a predetermined choice. The features of such technologies, their types and level of influence depend on the sphere in which they are implemented. This article is primarily of a review nature, which allows us to highlight the features of nudge technologies in healthcare, pay special attention to their digital nature and characterize them depending on the level of influence on medical decision-making. The purpose of this study is to identify the characteristics of the use of nudge technologies in digital health. Based on the identified features, the possibilities of application in telemedicine will be shown based on the principle of uniformity. As the use of these mechanisms in healthcare has increased significantly in recent times, it is critical to understand the opportunities they offer and the risks they entail. The growth in medical data and health research has not yet led to a corresponding growth in actionable ideas that continually improve patient care. In health care, there continues to be a gap between accumulated evidence and practice in using it. A combination of technologies such as artificial intelligence (AI), electronic health records (EHR), telemedicine technologies (TM), along with nudged decision-making technologies, could accelerate the implementation of research findings and processing of existing medical data.
Economic Bulletin. 2024;3(1):18-25
pages 18-25 views

Digital financial assets and their operators

Karimova K.S.

Abstract

the article considers the current situation of digital financial assets and their operators. The aim of this research is to evaluate the development of the digital financial assets market and their operators in Russia. For this purpose, the following specific objectives have been pursued: to consider the main types of digital financial assets, types of their operators, to examine the issue of digital financial assets. The issues of the conceptual apparatus of digital tools were considered in their works by Smirnov D.A., Pervyshov E.A. [5,S640]. The legal analysis of digital rights is studied in the monograph by Sannikova L.V., Kharitonova Yu.S. [4]. At the same time, in Russian science, the issues of the functioning of the distributed registry system, the conditions for the execution of smart contracts and the parameters for the release of new digital tools have been little studied. The scientific significance of the work is the disclosure of types of digital financial assets, the procedures of their issuing and circulation, their transactions on the blockchain, the determination of development potential of the digital financial assets market. The practical significance of the work is that the research results can be used for analytical work by qualified and unqualified investors. Results: research has indicated that digital financial assets market of Russian Federation is growing at a rapid pace. Large enterprises and small and medium-sized businesses issue digital financial assets. Nevertheless, investors' interest in these types of financial assets remains quite low, which explains the low liquidity of the market. Conclusion:the creation of integrated operator based on blockchain will develop digital financial assets market.
Economic Bulletin. 2024;3(1):26-32
pages 26-32 views

Mathematical models of inventory management at industrial enterprises

Surkov A.A.

Abstract

in the conditions of intensive market changes and technological evolution of industrial enterprises the problem of optimization of inventory management is actualized. The article is devoted to the analysis of mathematical models used in inventory management in production: from EOQ model to stochastic approaches. The subject of the study is algorithms for maintaining optimal inventory levels. The aim of the article is to examine how a variety of management models can provide a balance between costs and service level under conditions of unstable demand and supply. The research is based on the comparison of theoretical models and real practice of industrial companies, allowing to determine the conditions of their effective application. Special attention is paid to statistical models and Zero Inventory Model (ZIM) to reduce financial losses. The paper proposes a methodology that combines machine learning for demand forecasting and qualitative analysis, increasing the adaptability and proactivity of inventory management systems. The conclusion emphasizes the need for continuous adaptation of mathematical models to improve the efficiency of inventory management in dynamic market conditions.
Economic Bulletin. 2024;3(1):33-43
pages 33-43 views

Logical and mathematical elaboration of the interaction process between enterprises and key information environment entities

Konnikov E.A., Chan H.H., Shanygin S.I.

Abstract

the purpose of the study is to mathematically describe the logic of interaction between an enterprise and various entities of the information environment, as well as to quantitatively analyze the fluctuations of the main tools of directed data transmission – information flows. Methods: A combination of set theory and function theory is used to describe and analyze information flows and their intersections, which represent an objective component of data constructs. The main types of interaction entities (competitors, investors, consumers, suppliers) are considered as different sets, between which functional connections and intersections can exist, creating local information backgrounds. Findings: Functions have been developed to describe the information flows for each group of entities, allowing for the approximation and analysis of these flows in the context of their impact on the enterprise. The application of game theory has enabled the formal assessment of strategic interactions between entities and the determination of parameters such as the intensity and significance of information flows, as well as utility functions for each flow. Conclusions: The developed mathematical models and analysis methods provide enterprises with tools for more effective planning and decision-making in the information environment. These models help not only to describe but also to predict the dynamics of information flows, which is critically important for managing relationships with key stakeholders.
Economic Bulletin. 2024;3(1):44-55
pages 44-55 views

Analysis of supply and demand for investment products of non-governmental pension funds in the field of household finance mobilization and investment

Melnikova N.S., Bykanova N.I., Skibin I.A., Ponomareva M.S.

Abstract

the relevance of the work lies in the fact that in modern economic conditions there is a growing need to accumulate financial resources to ensure a stable and decent standard of living in retirement age. In this context, non-state pension funds (NPFs) play an important role in mobilizing household finances and investing them. The article focuses on studying the factors influencing the formation of supply and demand, as well as identifying the main trends and patterns in this market. The work uses methods of statistical analysis, economic and mathematical modeling and comparative analysis. The authors conclude that the demand for investment products is determined by various factors, including the level of household income, the degree of confidence in the pension system, the level of inflation and interest rates, and the availability of tax benefits. The supply depends on the investment activity of the funds, their ability to take risks, as well as the availability of financial resources. An important result of the study is the identification of the relationship between supply and demand, as well as the determination of optimal conditions for the development of the investment products market.
Economic Bulletin. 2024;3(1):56-60
pages 56-60 views

Digital transformation and its impact on business value using the example of a trade enterprise

Guzovsky Y.E.

Abstract

the article substantiates the impact of digital transformation on business value using the example of the Magnit trading enterprise. The purpose of the study was to identify the key factors of value, to investigate the influence of various groups of factors on the value of the company, to prove the need to take into account the factors of digital transformation in assessing the value of enterprises. The working hypothesis was that digital transformation has an impact on the value factors of a trading enterprise. The study showed that indeed the factors of digital transformation affect the value of the company (the degree of influence is 15 and 13%). This means the need to include factors of digital transformation in the process of assessing the value of the enterprise. The article also classified the factors of the value of the trading enterprise, identified key indicators that affect the value, substantiated the indicators of digital transformation and their use in the process of assessing the value of the company, investigated the content of the concept of digital transformation from the position of different authors. The evolution of theories of enterprise value estimation is shown, methods of value estimation from the perspective of the main traditional and innovative approaches to the valuation process are considered. The features of the application of innovative methods using artificial intelligence, blockchain and modeling are considered.
Economic Bulletin. 2024;3(1):61-67
pages 61-67 views

Development of tools for the development and maintenance of information and analytical systems to support marketing decision-making

Muzykantov I.I., Mititel G.E.

Abstract

nowadays, when the market is constantly changing and competition is becoming more acute, making effective marketing decisions is becoming a key success factor for any business. However, in order to make informed and correct decisions, access to reliable information and analytical tools is necessary. With the development of information technology and the emergence of new methods of data analysis, the tools for creating and supporting information and analytical systems necessary for making marketing decisions are also developing.
Economic Bulletin. 2024;3(1):68-73
pages 68-73 views

Current features of managing sharing economy systems

Tolmachev O.L.

Abstract

this scientific article explores the current features of managing sharing economy systems. The study examines the specifics and concept of the sharing economy, identifies the main drivers of growth in sharing economy systems, and points out existing deficiencies in managing this type of economy. It analyzes the characteristic of the sharing economy, which involves organizing resource exchange between different participants through the use of specialized platforms and technologies. The sharing economy is becoming increasingly popular in the modern world due to its efficiency and the ability to increase resource accessibility for all participants. The concept of sharing economy, which is a system where resources (goods, services, real estate, etc.) are temporarily used based on their shared utilization by multiple participants, is also investigated. Further research focuses on identifying the main drivers of growth in sharing economy systems. The study also highlights the deficiencies in managing the sharing economy. The main weaknesses include the absence of a unified legal framework, insufficient legal regulation of relationships between participants, security issues, and the protection of personal information. Insufficient information and education of participants also affect the management effectiveness of this economy. Thus, this scientific article presents a comprehensive study of the current features of managing sharing economy systems. It identifies the specifics of this type of economy, highlights the main drivers of growth, analyzes existing deficiencies in management, and suggests possible ways to address them. The findings and recommendations from this article will be useful for researchers, practitioners, and managers working in the field of sharing economy.
Economic Bulletin. 2024;3(1):74-79
pages 74-79 views

Analysis of the effectiveness of using synthetic economic factors to predict the prices of digital assets of the next day

Chan H.H., Polyakov P.A., Starchenkova O.D., Konnikov E.A.

Abstract

the relevance of this study is due to the fact that globalization affects not only the development of countries and individual sectors of the economy, but also what unites them all - a means of payment, store of value and exchange. Thus, thanks to modern technologies and the development of decentralized networks, blockchain and its by-product – a digital asset – appeared. Purpose of the study: to build predictive models to track changes in the price of digital coins such as Bitcoin and Binance coin. One of the main tasks was to determine the factors influencing future prices for digital assets, as well as to identify the most effective machine learning method for various data samples. The scientific novelty of the article lies in the concentration on relative synthetic factors, obtained by the simplest transformations from absolute indicators, and their use to build predictive models to predict the next day's price change for Bitcoin and Binance coin. To achieve their goals, the authors used various machine learning methods, which were applied on various data samples, including a stack of already predicted data. Mathematical and statistical processing was carried out using KNIME and Microsoft Excel software. The results of this study showed that machine learning methods can produce the required performance in predicting the direction of the future day's price on a stack of already predicted data. Applied nature of the research: the results obtained can be useful for traders and investors operating in the digital asset market.
Economic Bulletin. 2024;3(1):80-92
pages 80-92 views

State capitalism as an economic model in the context of modern challenges

Vinter M.B.

Abstract

the article examines the model of the modern economy from the point of view of state capitalism, which is based on entrepreneurial and commercial activities. The paper focuses on the fact that modern economic conditions dictate new principles of building public administration. In this regard, much attention is paid to the support of the business sector by the state. The article also discusses the models of capitalism and key aspects. The theoretical part provides an overview of approaches to the definition of the term "state capitalism". The purpose of the article is to analyze and study the specifics of state capitalism from the point of view of modern economic development. To achieve the goal, the following range of tasks has been defined: - the study of forms and models of capitalism, - analysis of approaches to the definition of the term "state capitalism" – identification of the features of state capitalism in the economic system. The result of the work is the conclusions confirming the presence of external and internal factors of influence on the modern social system. The practical significance of the work lies in the fact that the results and conclusions can become the basis for adjusting programs and initiatives for the development of a competitive economy. The role of state capitalism in the context of modern challenges and crisis is emphasized.
Economic Bulletin. 2024;3(1):93-99
pages 93-99 views

The current state of central bank digital currencies (CBDC)

Nikolaev A.V.

Abstract

central bank digital currencies (CBDCs) represent a digital form of fiat currency issued by central banks. In recent years, interest in CBDCs has significantly increased worldwide. This is due to the growing popularity of cryptocurrencies, technological advancements, and the desire to improve payment systems. This article is dedicated to examining the current state of CBDCs, including their development, implementation, and impact on the global economy. Methods: to conduct the research, data from open sources were used, including reports from central banks, publications in scientific journals, and materials from international financial organizations. The analysis of the current state of CBDCs included studying official statements, pilot projects, and plans for implementing digital currencies in various countries. Results: the analysis of the indicators of the issue of payment cards "MIR" was carried out, the advantages and disadvantages of the payment system were revealed. Conclusion: based on the results of the study, possible ways to eliminate the identified gaps and improve the payment system are proposed.
Economic Bulletin. 2024;3(1):100-103
pages 100-103 views

Financial products and services implemented through blockchain technology in banking

Bogachev I.L.

Abstract

the article contains a brief description of the latest technological innovations in the financial sector, which are based on a software-network cryptographic mechanism for maintaining sequential accounts of pseudo-monetary transactions in a distributed network environment, called blockchain technology. Such innovations as digital currencies, electronic certificates of ownership of assets (tokens) and protocols (software transactional algorithms) that automatically fulfill pre-agreed conditions (smart contracts) are described. The benefits and problems of using such technologies in the banking business are outlined (reliability and transparency of transactions, reduction of banking operating (and, accordingly, customer) costs, security and vulnerability of operations, regulation and control). An analysis of the vectors of development of these technologies and potential changes in traditional banking is proposed. Currently, the key influencing factors in the banking sector are economic and digital transformation, financial innovation and the development of information technology. Blockchain technology with cryptocurrency integration is a basic technology with promising applications in the banking sector. In this article, a study of the impact of blockchain technologies on the banking industry is conducted, which is aimed at analyzing technological functions using the model and anatomy of the blockchain architecture. The possibilities and risks of using blockchain in the banking sector have been identified. The greatest importance is attached to the transition from the confrontation of the banking industry and blockchain technologies to a symbiosis based on contradictions and symbiosis. The current problem with the capital market is that there are different clearing and settlement systems, since many parties are involved, hence the high counterparty risk.
Economic Bulletin. 2024;3(1):104-108
pages 104-108 views

The impact of technological innovations on economic growth

Li R., Zhang Y.

Abstract

this article examines the impact of technological innovations on economic growth. Technological innovation is seen as a key factor contributing to increased productivity, the creation of new markets and an improved quality of life. The impact of various types of innovations, including information technology, biotechnology and renewable energy sources, on economic growth in different countries and sectors of the economy is analyzed. The study is based on data from macroeconomic statistics and empirical studies examining the relationship between innovation and GDP growth. Special attention is paid to the role of public and private investments in research and development (R&D), as well as policies to stimulate innovation activity. The conclusions emphasize the need to create a favorable institutional environment for the development and commercialization of technological innovations, which is the key to sustainable economic growth in the long term.
Economic Bulletin. 2024;3(1):109-113
pages 109-113 views