No 1 (2025)

the purpose of the study is to analyze current methods of forecasting the staff number of employees of structural and to develop a forecasting method based on regression model building. Methods: the methods used in the presented study uses the approach based on the construction of nested piecewise linear regressions. Findings: the study presents a model that allows forecasting of staffing levels on the example of information protection units. The vector of triggering of the model indicates that the key factor determining the dynamics of the output variable is the total number of employees of the organization (headcount). Conclusions: among the existing mathematical methods of forecasting the number of employees the approach based on the construction of piecewise linear regressions is quite convenient and well interpreted tool. The constructed model can be used in forecasting and estimating the number of employees of information protection units in ensuring the required level of security in personal data information systems. At the same time, the analysis of the model shows that when calculating the number of employees of information protection subdivisions the key factor is the scale of the organization characterized by the list number of its employees.

the digitalization process has become the basis for the development of the economy of the Russian Federation as a whole, including such an important industry for the country's food security as agricultural engineering. However, there are still many questions related to the massive transition of the agro-industrial complex to digital technologies. Methods: comparative analysis, abstract-logical method. Results: the introduction of digital technologies into the practice of agricultural engineering has a number of features, which the author of this article points out, focusing on the possibility of modeling various life processes of living organisms, stages of production cycles using digitalized information. Conclusions: digitalization allows remote management of production, minimization of the impact of negative natural and climatic factors on the final result of production processes, guaranteeing the achievement of planned goals, solving problems, reducing the impact of the human factor on the outcome of production activities.

the purpose of this article is to assess the impact of artificial intelligence technologies on Taiwan's economic development. The object of the study is the economy of Taiwan. The subject of the study is the impact of artificial intelligence on Taiwan's economic development. Methods: qualitative and quantitative methods are used as research methods in this article. Among the quantitative methods used, the statistical analysis method and the comparative analysis method can be noted. Among the qualitative methods are the comparison method, the forecasting method, and the literature review. Findings: the impact of artificial intelligence on Taiwan's economy is considered. A connection is noted between the "AI boom" and the positive dynamics of Taiwan's economic indicators. The author concludes that Taiwan's economy receives greater growth from the production and export of high-tech components used to develop AI technologies than from the introduction of technologies into production processes. In addition to the positive impact, the paper also notes the challenges Taiwan may face and suggests possible solutions. Conclusions: Artificial intelligence has become a driver of Taiwan's economic growth in recent years, strengthening its position in the global supply chain of high-tech products. Despite the significant contribution of AI to the economy, there are a number of challenges, including Taiwan's growing dependence on the semiconductor industry, resistance from developed countries to dependence on Taiwan, increasing social inequality, energy burden, and demographic risks. To ensure sustainable growth, it is necessary to more actively implement AI, diversify the economy, and solve the identified long-term problems. Then AI can become a driver of growth on a long-term basis and not pose a threat to the island's economy.

the aim is to improve the analysis of the efficiency of oil producing companies based on the construction of an econometric logit model using a binary dependent variable based on the analysis of five coefficients - current and critical liquidity, autonomy and financial leverage, return on assets and sales. Methods: the methods used in the presented study are econometric methods of analysis and forecasting. Findings: thanks to a careful selection of relevant indicators, the resulting model provides a comprehensive analysis of the activities of oil producing enterprises. The developed tool allows for express analysis of the effectiveness and profitability of companies, quickly identifying key success factors and areas requiring improvement. Conclusions: during the research, factors were identified that have a direct impact on the efficiency of enterprises, thus the constructed model is an effective tool for assessing and forecasting the efficiency of oil producing enterprises, which makes it a valuable tool for making management decisions in this industry.

the purpose of the study is to analyse the digital transformation of Chinese enterprises in the framework of public policy implementation on the example of Jiangsu Province. The article reveals the current state of development of China's digital economy and identifies the indicators of digital transformation and modernisation of Chinese industry, agriculture and services. Based on the analysis of the scientific literature of Chinese and Russian researchers, a brief review of the historical development of China's regional economy is carried out and its main stages are highlighted. The efficiency of the digital transformation of Chinese enterprises in the framework of government policy has been assessed on the example of Jiangsu Province. It is concluded that the main government strategies for the development of digital economy in Jiangsu Province in the periods of the theory of coordinated regional economic development of Chinese enterprises are related to the establishment of special economic zones and national-level new development zones with preferential tax regimes and various kinds of government preferences, and are aimed at strengthening the leadership of Chinese enterprises in digital research and development, improving the development of digital industrial capacity, promoting the deep integration and development of new-generation information technology. The digital transformation of Chinese enterprises at the present stage aims to transform intelligent manufacturing and deepen the integration and development of next-generation information technology. The practical significance of this study lies in the possibility of applying the outlined Chinese experience of digital transformation of Chinese enterprises in the framework of state regional policy in Russian practice.

the use of recycling in the process of processing concrete and reinforced concrete in the design of monolithic foundations has a significant impact on the economic efficiency of construction projects. Recycled concrete obtained from dismantled buildings becomes an alternative to traditional building materials, which reduces the cost of raw materials and reduces the environmental burden on the environment. The introduction of recycling technologies into the production process not only reduces the need for primary resources, but also allows the use of production waste, which, in turn, leads to a reduction in the volume of construction debris. The economic benefit of this approach is to optimize the costs of waste disposal and the purchase of new raw materials, as well as the possibility of reducing the cost of construction itself.

this article presents an analysis of the risk of unbalanced liquidity as a key tool for improving the stability of the Russian banking sector in a crisis. The study is based on an extensive review of scientific publications and practical cases, focusing on the dynamic nature of liquidity and its impact on the financial stability of banks. Special attention is paid to the relationship between the level of debt, prices of goods and services, as well as the money supply as factors affecting liquidity. The risks arising from non-payment of loans or withdrawal of deposits, which makes banks vulnerable to financial shocks, are considered. The contradiction between high liquidity and profitability is noted: the desire to increase profits can lead to a decrease in liquidity due to investing in riskier assets. The interaction between liquid and illiquid assets is investigated, which emphasizes the need for balanced management to minimize risks associated with a shortage or excess of liquidity. Based on the analysis, it is concluded that effective liquidity management is important, which requires the use of methods such as the regulatory method, stress testing, GAP analysis and asset and liability management (ALM). A detailed analysis of the most common methods is proposed, as well as the development of an integrated model for assessing the risk of unbalanced liquidity, taking into account internal and external factors. The model includes a multi-level data collection system, multidimensional analysis and the creation of adaptive stress scenarios using machine learning for early warning of potential risks. This work highlights the need for an integrated approach to liquidity management, which will increase the stability of the banking sector in conditions of economic uncertainty and ensure its sustainable development.

the article reveals a problem of the introduction of modern digital and information technologies in accounting, analysis and control. The purpose of the article is to consider the possibilities and effectiveness of modern digital and information technologies for use in accounting. The research objectives are to consider the main approaches to the introduction of modern digital and information technologies in accounting, analysis and control that are currently available in the scientific literature; as well as to identify the features of the impact of the introduction of digital technologies on the employees of the organization. The research methodology is based on a systematic approach. The methods of the general scientific group were used in the work: analysis, synthesis, induction, deduction, as well as the formal-logical approach. Based on the results, the author of the article came to the conclusion that the introduction of modern digital and information technologies in accounting, analysis and control depends on the scale of the business, taking into account such aspects as ease of use, the possibility of integration with other systems and, of course, the budget.

the purpose of the article is to compare the factors affecting oil production in Russia before and after the introduction of sanctions, which is relevant for many reasons. Comparison of factors provides a comprehensive understanding of current and future trends in the oil industry. This is important for making informed decisions at the state and business levels, as well as for assessing the global and local consequences of the sanctions policy. Methods: econometric methods of analysis and forecasting are used as methods in the presented study. Findings: the article presents a study of the influence of various factors on the dynamics of oil production, within the framework of which a comparison of the dynamics of production in the periods 2013-2021 and 2022-2023 was carried out. Factors were identified that have a positive impact on the indicator, such as world oil prices and investments in the oil industry, and those that have a negative impact on oil production, this is the national currency exchange rate and production and logistics costs. Conclusions: the obtained models showed that the results of the study partially coincide with the hypothesis that in different time periods the composition of factors influencing oil production in Russia changes.

the purpose of the study is to carry out a terminological and substantive analysis of the main definitions of the regional economy, existing typologies of regions, grouping the main approaches to the typologization of regions for a systematic description and assessment of the economic development of regions. Methods: The methodological basis of the research was based on the methods of analysis, synthesis, comparison, generalization, grouping. Historical, systemic and complex innovative approaches were applied to the study of the works of foreign, Soviet and Russian researchers. Findings: in the study, for the integrity of the presentation, the author's position in understanding the basic terms and concepts of regional economic development is developed, historical and modern approaches to the classification of regions are studied, the features of the selection of criteria and the methodology of existing approaches to typologization are analyzed, their disadvantages are highlighted, the procedure for typologizing regions is justified, broken down into stages. Conclusions: to distinguish regions in the assessment, their typologization is necessary, which makes it possible to differentiate the individual features of the functioning of economic systems at various levels, which will subsequently make it possible to determine and assess the level and prospects of economic development. The most important approaches to the typologization of complex systems that the region belongs to are systemic, complex, historical and innovative. A systematic approach involves analyzing the totality of elements and their interrelationships. An integrated approach aggregates knowledge and ensures its clarity of presentation. The historical approach allows us to trace the origin and transformation of the provisions.

this article discusses research methods in economics within the context of various contemporary crises (poly-crisis). We argue that qualitative methods would be more valuable and informative than quantitative methods, and we consider the integration of these approaches as necessary for two primary reasons. The first reason is a more comprehensive approach that enhances the quality of economic knowledge in terms of its structure and function, and the second reason is the democratic nature of the capitalist market and its increasing diversity. We provide an overview of qualitative research methods that can be utilized in economic analysis and their foundation. By using concrete examples from studies on economic policy that employ qualitative approaches, it is feasible to demonstrate the significance of such methods, including for a better understanding of the poly-crisis. Additionally, we examine the challenges associated with qualitative research within the field of economics and how our analysis assists in addressing some of these challenges in the current economic environment. In conclusion, we would like to discuss the potential contribution of qualitative research methods in the field of economics.

over the past few years, the Russian Federation has undergone many changes both in socio-economic structures and in the structure of investments, in particular in the Southern Federal District, as a result of the introduction of external sanctions. The sanctions led to a reduction in investments, limited access to international markets and disruption of the economic balance, which, in turn, led to a deterioration in key economic indicators. The purpose of the study is a comprehensive analysis of the prospects for socio-economic development of the regions of the Southern Federal District in the context of external sanctions. The objectives of the study are to study data on exports, imports and investments in fixed assets, as well as to identify industries most affected by sanctions, as well as an analysis of opportunities for sustainable economic development of regions under sanctions restrictions. A comprehensive approach is required to mitigate the effects of sanctions. The key strategies put forward in the study are: economic diversification, support for innovation and small business, as well as strengthening interregional ties, it is necessary to develop human capital by providing access to education, healthcare and high-quality jobs. The list of sources used lists both domestic and foreign authors who consider in their writings the impact of sanctions on the socio-economic development of the regions of the Southern Federal District. The research can be used to develop strategies to overcome the consequences of sanctions, assess the state of the regional economy, form public policy, support small and medium-sized businesses, as well as to identify areas of sustainable development under restrictions.

the article is devoted to the disclosure of the features of managing the strategy of competitiveness of a retail enterprise as an economic category. The relevance of the topic is due to the need to change approaches to the management strategy of retail enterprises under the influence of digital transformation, automation, globalization and the introduction of artificial intelligence. In the article, the author notes that retail enterprises are strategically important today and require the implementation of modern competitive e management strategies. The author pays special attention to the knowledge necessary for the effective functioning of retail enterprises so that they can always remain flexible and respond to the changing needs and requirements of customers. Despite the fact that today there are a huge number of competitive strategies, enterprises apply differentiation strategies in practice, when a company differs from competitors due to unique product characteristics, excellent quality or exceptional customer service. As part of the study, the author identifies various stages of strategic management in relation to the specifics of retail enterprises. The article presents the author's research results, on the basis of which modern strategies for increasing the competitiveness of a retail enterprise and their features are identified. The author's definition of a competitive strategy for a retail enterprise is presented. This definition reflects a wider range of phenomena and processes that occur in the management of a retail enterprise, and also offers a new perspective on its role and functions in the context of digitalization, automation and globalization. The goal of implementing competitive strategies of a retail enterprise should be to create a unique value of products and goods. The results of the study showed that the choice of a competitive strategy directly affects the result of customer satisfaction, as well as the establishment of long-term and strong trade relationships with them. The development of a competitive advantage requires further scientific study, careful analysis, strategic planning and constant adaptation at retail enterprises.

managing logistics costs in the context of anti-Russian sanctions is a complex task that requires taking into account the specifics at different levels of logistics systems: micro, meso and macro levels. The sanctions imposed against Russia have had a significant impact on the country's logistics sector. This created a number of problems, but also opened up opportunities for finding new solutions and adaptation. According to the results of the study, the peculiarities of logistics cost management in the context of anti-Russian sanctions at the micro, meso and macro levels were revealed. Microlevel: the need to find alternative suppliers and sales markets, the need to optimize stocks in conditions of shortage and replacement of suppliers and raw materials, the need to develop and implement domestic logistics technologies. Meso-level: the need to strengthen cooperation between companies in the supply chain in order to optimize routes and reduce costs, the need to update and develop logistics infrastructure at the regional level to adapt to new routes and conditions, the need for support from the state at the level of regional authorities for infrastructure development. Macro-level: the introduction of government measures to stimulate domestic production, export support, transport infrastructure development, government measures to strengthen trade and economic cooperation with China and other countries of the Eurasian Economic Union (EAEU), coordination of efforts of various sectors of the economy at the state level to minimize the negative effects of sanctions on logistics.

the organization of installation of light metal structures using lean manufacturing tools is an important economic aspect aimed at reducing costs and increasing the efficiency of construction processes. The introduction of lean manufacturing principles in installation allows not only to optimize work processes, but also significantly reduce the cost of materials, labor and time required to perform installation work. The main principle is to eliminate losses that may occur at various stages of construction – from design to direct installation of structures. The purpose of this study is to consider the economic aspect of organizing the installation of light metal structures using lean manufacturing tools. In the course of the research, work was done on the development of a model for the introduction of lean manufacturing on a construction site and an assessment of its economic efficiency.

the article discusses issues related to successful practices of adapting cross-cultural marketing strategies in different countries. In the context of globalization, this area is becoming a key tool for companies seeking to quickly and effectively adapt their functions and steps to different cultural contexts. The relevance of the topic is due to the need to take into account differences between countries in the context of values, customs, norms, traditions, etc. These factors have a powerful impact on consumer preferences and behavioral manifestations, which, in turn, directly affects the success of international marketing efforts. The purpose of the study is to analyze the implementation of adaptation mechanisms, identify factors that contribute to improving the effectiveness of cross-cultural marketing communications. Among the most obvious contradictions, it is advisable to point out differences in approaches to the degree of local adaptation of strategies, as well as differences in the assessment of the role of cultural determinants in consumer decision-making. It was concluded that flexibility and an in-depth understanding of the characteristics of target markets act as determining factors for the effective implementation of the communication mechanism. The article will be useful for both researchers in the field of international marketing and practitioners involved in the development of global strategies, brand adaptation in foreign markets.

the purpose of the study is to apply econometric methods to analyze the socio-economic sphere in the regions of the Russian Federation using the example of the Central Federal District, the Northwestern Federal District, and the Southern Federal District. Methods: econometric methods are used, including correlation, factor (principal component method), and cluster analysis. Objectives: it is supposed to select indicators characterizing the socio-economic sphere of the regions of the Russian Federation, carry out exploratory analysis to eliminate outliers, conduct a comprehensive multivariate econometric analysis using correlation, factor (principal component method) and cluster analysis procedures, and interpret the results obtained. Results: the study compiled a regional portrait (based on the obtained values of cluster analysis) using the example of the selected federal districts. Conclusions: the obtained materials of the work represent a "portrait" of the regions in accordance with three clusters and the corresponding characteristics for each. This distribution can be used in the development of programs for the socio-economic development of the regions of Russia.

the purpose of the study is to analyze the impact and future development of an alternative version of the centralized insurance industry, which is referred to in the scientific literature as decentralized insurance. Decentralized insurance, also known as blockchain-based insurance, is a revolutionary concept that emerged with the advent of blockchain technology. To analyze the gaps in the design of decentralized insurance products in the insurance market practice and theoretical models of risk distribution in the literature. And based on this analysis and analysis, to present the general structure of the mutual insurance model in healthcare, which could be used for development on decentralized finance platforms, and a mathematical basis for describing common properties. Also give a general idea of the concept of (de)centralization. stemming from the architecture of blockchain technology. The methodological basis of the research is general scientific research methods: logic, synthesis, analysis, induction, deduction, as well as an agent-oriented approach to the analysis of the insurance industry. Results. One of the approaches to the development of a model of decentralized insurance as part of a system of decentralized finance and multi-agent modeling of insurance interactions in the direction of improving their quality and safety is defined. Within the framework of the proposed model, it was found that the criterion for the effectiveness of its algorithm is low resource consumption to support the platform, the vector of work is generally directed towards policyholders, unlike centralized insurance, where it is directed towards the insurance company and all the properties are inherent in blockchain technologies. Conclusion. As this concept of decentralized insurance develops and matures, it can transform the insurance industry by empowering individuals and organizations to manage risks more effectively, while strengthening trust and accountability among participants.

the article analyzes methodological approaches to determining the threshold values of innovation security indicators, provides a methodological approach to assessing the innovation security of a region based on assessing the threshold values of its innovation potential development, substantiates the use of the method for determining weighting coefficients based on statistical data processing, analyzes the values ??of anomalous parameters in the context of groups of innovation security indicators, which made it possible to identify regions with crisis and pre-crisis states of the level of innovation security. For each region, the final risk level was calculated as the sum of all indicators, which is interpreted as the index of innovation security of the region, on the basis of which the rating of innovation security of the subjects of the Volga Federal District was built. As a result of the study, methodological approaches to the quantitative assessment of the level of innovation security separately for each indicator were proposed, as well as a method for statistical assessment of the threshold values ??of the crisis zone, which made it possible to build a total index of innovation security and a rating of innovation security of the regions of the Volga Federal District. In conclusion, it is concluded that innovation security and innovation potential are not interchangeable concepts, do not have a linear relationship and may differ from each other in the measured parameters. To ensure innovation security, it is not necessary to have a leading position in all indicators of innovation potential; it is sufficient to comprehensively develop all areas of innovation activity, or to integrate into a higher-level innovation security system within the framework of one’s own specialization in achieving high indicators of innovation development in a specific area inherent only to a given region.

the aim of the study is to investigate the concept, types and behavior of income, expenses and savings of the population, as well as to develop a methodology for their formation at the micro and macro levels. Methods: the methods used in the presented study are statistical methods of analysis of income, expenses and savings of the population, the monographic method and the comparison method. Findings: the study developed a model for the formation of individual (population) income at the micro and macro levels; developed a mechanism for the relationship between national, personal and disposable income; showed a classification of income and expenses for the purpose of analyzing the relationship; formulated an algorithm for distributing current and unforeseen expenses of an individual; presented statistical data on income, expenses and savings of the population of the Russian Federation. Conclusions: according to the presented statistical data, an increase in income and savings of the population was revealed, while in the income structure the share of savings has a downward trend; the developed income generation model and mechanism for the relationship between different types of income, the presented algorithm for the distribution of expenses and savings can help in developing measures to improve the financial literacy of the population and ensure the growth of savings for the implementation of financial goals.

the need to study the mechanisms of anti-crisis management in the Russian economy today is aggravated by a number of challenges – international sanctions, COVID-19 pandemic and subsequent economic isolation. These factors have put an imprint on the current state of the Russian economy, forcing it to adapt and seek new ways of development to maintain stability. Global risks associated with economic fluctuations increase the importance of research in this area. The article aims at a comprehensive analysis and organization of crisis management strategies used to stabilize the Russian economy in the new global environment. Special attention is paid to the role of cultural nuances and social elements, their influence on managerial decisions in complex conditions, as well as the study of the contribution of information technology and innovation. The article provides a comprehensive analysis of crisis management methods with a focus on the socio-cultural component that affects the decisions made in critical situations. Economic stabilization measures, innovative initiatives for long-term development and the contribution of advanced technologies to the management process are discussed. The article also touches upon the issues of legislative support, social protection and the role of the state in preserving macroeconomic stability. The author explores the current challenges and opportunities confronting the Russian economy, suggesting ways to optimize anti-crisis measures. The information presented in the article will be interesting and useful for a wide range of specialists - from economists and government officials working on anti-crisis programs to businessmen looking for optimal ways to function in the new economic reality. In addition, the article will prove to be a valuable resource for teachers and students of economic specialties, as well as experts involved in forecasting and strategic planning in crisis conditions.

the article considers the main stages of the process of forming the environment of an innovative ecosystem of an industrial company and proposes an algorithm for selecting partners of the innovative environment. The proposed algorithm is aimed at solving the problem of selecting the best partners in the field of innovative development. The calculations of the final indicators of partner assessment are presented, produced on the basis of the proposed algorithm for the ecosystem within the framework of innovative technological development. A conclusion is made about the need to customize and detail the criteria for selecting and managing partners when creating a specific ecosystem of a certain scale in connection with the specifics of each individual industry and the characteristics of industry participants.

the article is dedicated to the analysis of existing models of industrial symbiosis and the characteristics of the transformation of these models with the participation of higher education institutions as a crucial element of collaborative innovative cooperation. The presence of secondary recycling products and innovative technologies in the field of circular economy within universities can serve as a foundation for joint projects with partners from industry, government bodies, and the scientific-educational sphere. This collaboration may lead to the creation of new effective methods that not only improve environmental conditions but also open new opportunities for economic growth and enhance the competitiveness of enterprises. Furthermore, the application of the industrial symbiosis concept can foster the development of an internal innovative environment within universities by increasing the efficiency of project management activities. Within the framework of this research, a comparative analysis of existing models of industrial symbiosis and the directions for utilizing artificial intelligence in this collaboration has been conducted, and an author's approach to implementing the concept of industrial symbiosis involving universities within existing cooperative models has been proposed.

this article offers an analysis of key critical remarks related to the practical application of the Laffer Curve. Both foreign and domestic approaches to the Laffer Curve are examined, highlighting differences in its use in macro- and microeconomic modeling. Particular attention is given to the work of E.V. Balatsky, who developed a model for assessing Laffer points of the first and second kind through production-institutional functions. Issues related to the elasticity of labor and capital supply, the role of inflation, and the impact of the shadow economy on tax revenues are analyzed. The article discusses mathematical complexities and uncertainties in the graphical representation of the Laffer Curve. Attention is also directed to the need to adapt the model to the regional level, which requires a review of model parameters and assumptions for more accurate assessments of the tax burden and forecasting of budget revenues. Therefore, the study aims to systematize critical remarks and explore the applicability of the Laffer Curve within regional tax systems. The purpose of the work is to systematize and verify the main theoretical assumptions, limitations, and graphical interpretation of the Laffer Curve, as well as to determine the possible scope of its application. The object of the study is the application of the Laffer Curve to the regional economy, and the subject is the mathematical methods for assessing the tax burden

this article discusses modern methods and ways to optimize supply chains using digital technologies. In the context of globalization and the digitalization of the economy, supply chain management is becoming an increasingly complex task. The author analyzes the main problems and challenges faced by enterprises in the process of supply chain management, including insufficient visibility, difficulties in coordination among supply chain participants, and uncertainties arising from changes in supply and demand. Additionally, new trends are examined, such as process automation, the use of big data and analytics, as well as the implementation of blockchain and IoT technologies to enhance transparency. The complexities in coordination among supply chain participants, such as suppliers, manufacturers, distributors, and retailers, further complicate the process, as these participants often act independently, making it difficult to align actions and make decisions. Uncertainties arising from fluctuations in supply and demand, caused by economic shifts, natural disasters, or political events, add an additional layer of complexity that is challenging to predict and account for. Blockchain technologies provide transparency and security for transactions, allowing supply chain participants to track the origin of goods and their movement in real time. Moreover, IoT devices collect data on the condition of goods and equipment, facilitating more accurate monitoring and management of processes. Practical recommendations are offered for leveraging digital technologies to enhance the efficiency and resilience of supply chains. The importance of integrating various systems and platforms that enable businesses to more effectively track and manage their resources is emphasized. Thus, the article provides valuable resources for executives and logistics professionals seeking to rethink their approaches to supply chain management in a rapidly changing business environment.