№ 7 (2025)

The article presents a review-analytical study of the organizational aspects of deploying service infrastructure for the restoration of refrigeration equipment within the context of the modern economy. The research is based on comparative-analytical and structural-functional approaches, drawing on scientific publications addressing technical service, logistics, digital transformation, and standardization. Key stages of the organizational cycle for refrigeration equipment restoration are identified, including diagnostics, repair, post-warranty support, and digital life cycle management. A typology of existing service models – from individual formats to OEM-contract services – is presented and compared based on scalability, personnel capacity, and digital maturity. Particular attention is given to institutional barriers: spatial imbalance in service accessibility, workforce shortages, and the absence of unified standards. Promising directions for optimization include the implementation of digital tools for accounting and monitoring (QR passports, KPI for personnel), and the integration of end-to-end logistics solutions adapted from the retail sector. The necessity of adapting hybrid service organization models tailored to the specific characteristics of refrigeration equipment is substantiated. This article may be of interest to professionals in industrial service, engineers, managers, and researchers involved in the digitalization of technical processes and the development of logistics infrastructure amid technological transformation.

The article discusses management risks that arise during the development and decision-making in organizations, as well as methods for forecasting and minimizing them. The theoretical aspects of risk are presented, including its definition, classification and impact on the company's activities. Special attention is paid to the ways of implementing risk management, such as risk avoidance, reduction, transfer and acceptance. The article also presents applied risk assessment methods, including statistical, expert, and computational-analytical approaches with examples of their application (payment matrix, SWOT analysis, Delphi method, decision tree).

The study of the quality of operational activities of the "organization" type is an important attribute of the functioning of economic systems within their process and functional activities. The implementation of norms and standards of product quality in organizations involves the participation and application of various attributes of process management and means of their implementation. Based on the study of the normative content of the attributes of resource and assessment tools, it was possible to identify the shortcomings of their actual condition, and the identification of relevant proposals for their elimination made it possible to determine the forecast of improvement in the economic performance of the selected organization for the coming year.

The article examines current trends in digital transformation in Russian regions, paying attention to the most pressing aspects and challenges of regional digitalization. The article presents an analysis of differences in the levels of digital development between the subjects of the Russian Federation, the pace of digitalization in recent years, as well as the impact of these processes on the economy, infrastructure and social sphere of the regions. The latest research and statistics published by the Higher School of Economics jointly with Rosstat were used, including the results of annual monitoring of the digital development of regions, “digital maturity” indicators and other indicators. It is shown that despite the steady growth of key indicators (the share of households with Internet access, the use of electronic government services, etc.) and the general increase in the digital maturity of regions, significant interregional differences remain. The impact of digitalization on the structure of the regional economy and the labor market, the development of telecommunications infrastructure, as well as changes in the social sphere – from e-government to the level of digital skills of the population – are discussed. The problem of digital inequality and proposed measures to overcome it are given special emphasis.

The relevance of the study is due to the fact that both inflation and unemployment are important factors of macroeconomic instability. The relationship between these indicators is ambiguous and significantly affects the situation in the short and long term. This forces the government to choose priorities for regulating either reducing inflation or reducing unemployment. The paper examines the modification of the Phillips curve taking into account various approaches in economic theory. The authors assessed the possibilities of adapting the classical model to the modern economy and the economy of the Russian Federation, and increasing the effectiveness of government actions. Based on the results of the study, the authors conclude that the classical and modified Phillips curve remains relevant for the modern economy of the Russian Federation, despite the risks associated with the instability of the political and economic situation.

The study is devoted to increasing the investment attractiveness of St. Petersburg, identifying effective tools for improving the investment climate through the legal framework, financial incentives, infrastructure, and digitalization. The analysis confirmed the city's leadership among Russian regions due to state economic policy measures and a reasonable tax strategy. The focus is on an industry-specific approach, tax administration, and fiscal policy. The study examines government support measures, including infrastructure, tax incentives, subsidies, and special economic regimes. PPP mechanisms, specialized zones, and innovation support play an important role. The results demonstrate the effectiveness of the measures taken, the growth of investments, investor confidence, and the improvement of residents' well-being. St. Petersburg's experience is recommended for other Russian regions to achieve sustainable economic growth and counter external sanctions.

The article examines methods of financial stability planning using the example of JSC SPZ, a regional manufacturer of bellows and instrument-making products. Financial stability is analyzed through the prism of forecasting financial statements, budgeting, and cash flow management. Particular attention is paid to the organizational structure of planning, where the key role is played by the planning and economic and financial departments, as well as the accounting department. The main tools are the payment calendar and cash flow budget, which allow monitoring liquidity and identifying deviations from planned indicators.

The article discusses the key problems that hinder the active innovative development of domestic business. The necessity of determining an integral indicator characterizing the level of development of an industrial enterprise as the basis for the formation of an appropriate program (strategy) for the development of an industrial enterprise is substantiated. A set of measures is proposed to solve the problems hindering the introduction of innovations in domestic industrial enterprises. The necessity of using innovative methods in determining the key factors of influence and assessing the level of competitiveness of an industrial enterprise, building a realistic forecast model of development and making informed management decisions on the formation and implementation of an innovative development strategy is substantiated.

In the context of a rapidly evolving economy and changing demands on agricultural production, assessing the performance and efficiency of the sheep and goat breeding sectors is of particular importance. This article emphasizes the need to develop and apply a comprehensive system of indicators that enables a thorough analysis of farming operations, including physical, monetary, technological, and socio-environmental parameters. Key concepts such as “performance” and “efficiency” are examined within the framework of agricultural production, along with the factors influencing the development of these subsectors, including natural-climatic, organizational-managerial, technological, and institutional aspects. A well-founded list of contributing and constraining factors is presented, and the main indicators of efficiency are systematized by functional area. Based on the analysis of scientific literature and practical research, the article proposes directions for improving evaluation approaches in sheep and goat breeding, which may serve as a foundation for building sustainable competitive advantages and strategic development of the sector.

The article examines audience segmentation methods based on behavioral and demographic data to enhance the effectiveness of personalized marketing. It analyzes machine learning technologies and algorithms, such as clustering and regression, which help create accurate consumer profiles for targeted marketing campaigns. Special attention is given to data integration from various sources, as well as the impact of a personalized approach on business metrics such as engagement, conversion, and customer retention. The study demonstrates that the use of modern methods can significantly increase companies' competitiveness in the modern market.

The article considers the current operational problems of the shopping center market in Russia in terms of international sanctions and business suspension of many foreign companies. Based on industry experts' assessments, indicators of the consumer flow index and the dynamics of retail space commissioning, an analysis of the current state of the market and the main trends was conducted. In conclusion, the authors found that, despite unprecedented sanctions, difficult economic and geopolitical situation and its consequences, local shopping center were able to adapt to new environments and move up to a new level of development.

This article examines the impact of congress and exhibition activities on the development of the event potential of Russian regions. Event potential is considered as the combination of conditions and resources enabling a region to attract and host events (congresses, exhibitions, festivals, etc.), determined by the level of infrastructure, event hosting experience, destination marketing, and industry support. The current state of Russia’s event industry is analyzed, noting high recovery and growth rates in 2023–2024, with a return to and surpassing of pre-pandemic indicators. The results of the Event Potential Rating of Russia’s regions for 2024 (by VNITS R&C) are presented, including statistics and examples of leading regions. Special attention is paid to the role of congress and exhibition activities (CEA) as a key factor in shaping event potential: CEA development fosters modern event infrastructure, attracts business events, increases tourist flows, and drives regional economic growth. Case studies of St. Petersburg, Sverdlovsk Oblast, Krasnodar Krai, Nizhny Novgorod Oblast and other regions illustrate the relationship between active CEA and high event potential. Contemporary trends in event tourism and the meetings industry in Russian regions are identified. Conclusions emphasize the need to further strengthen the congress-exhibition sphere and integrate it into regional development strategies to enhance the event attractiveness of territories.

The article discusses ways to improve the efficiency of market self-regulation tools for labor relations in the modern Russian economy. It analyzes the existing problems in the labor market and proposes measures to introduce innovative methods of employment regulation, develop corporate social standards, and use digital technologies to improve the interaction between employers and employees. The article focuses on improving the quality of professional training and creating a transparent employment environment.

This article examines the impact of robotic systems on the reduction of production costs in mass production conditions. It explores the transformation of the cost structure of products under the influence of automation, including changes in the share of labor costs, reduction of losses due to defects, equipment downtime, and logistical inefficiency. The potential for integrating industrial robots, automated lines, and cyber-physical systems is analyzed in the context of lean manufacturing, just-in-time, and computer-integrated manufacturing concepts. Special attention is given to methods for assessing the economic efficiency of robotization, including the calculation of net present value, internal rate of return, as well as the analysis of the impact on product quality and labor safety.

The article presents a critical analysis of modern practices for developing and testing investment strategies based on the use of derivative financial instruments. The main objective is to demonstrate how these instruments, when integrated into a structured methodological approach, can improve risk management, optimize volatility-adjusted returns, and increase the organization's resilience to market shocks.

The study is based on an applied approach illustrated by the experience of a financial sector player who developed a full cycle of creating, validating, and implementing speculative strategies in futures markets, in particular futures contracts and options. The main focus is on the integration of hybrid models combining machine learning (Random Forest, XGBoost) and classical econometric methods, as well as the development of a rigorous backtesting protocol that takes into account real transaction costs, liquidity effects, and slippage.

The results show that despite the inherent complexity of derivatives, their targeted use within a controlled investment strategy can significantly improve risk-adjusted performance. In addition, the introduction of cross-cutting organizational structures (agile teams) and the development of a controlled speculation culture represent significant steps towards more flexible and responsive corporate governance.

Finally, the study highlights current regulatory challenges and methodological limitations and opens up promising research directions in the areas of standardization of strategy validation processes, real-time model adaptation, and the creation of robustness indicators applicable to emerging markets.

The article summarizes the theoretical foundations of the concentration of agricultural production in the Kyrgyz Republic and their features in the context of the prevalence of small peasant (farmer) households in the industry. An assessment is given of the dynamics of the development of collective farms for 2015-2024, representing joint-stock companies, collective peasant farms and agricultural cooperatives. The instability of the development of collective farms is established. The role of cooperation in processing and marketing of products, supply, technical and other production services of agriculture is determined. Promising areas of concentration of agriculture are proposed.

The article discusses modern project management methodologies, analyzes their features and application possibilities in the field of tourism and service. Special attention is paid to the need to adapt traditional approaches to project management in the context of digital transformation, which is characterized by accelerated business processes, growing amounts of data and the need to quickly adapt to changes. The author analyzes the current state and prospects of tourism development in the country, based on official data and strategic documents. The main focus is on adapting existing project management methodologies such as Agile, Lean, CPM, and PERT to the specifics of the tourism and service industries, as well as the need to develop specialized tools and frameworks focused on creating a positive customer experience. The article discusses various areas of project management development in the industry, including the development of specialized frameworks, tools, and the adaptation of methods to the needs of specific projects. Examples of successful application of various methodologies to optimize processes, increase efficiency and achieve strategic goals of tourism development are presented.

The article analyzes the features inherent in dynamic planning of video content, considers the possibilities of using an adaptive model based on niche analysis. The aim of the work is to describe the methods of niche selection and content planning based on data analysis, including behavioral metrics of the audience, competitive environment and algorithmic features of the platform. The methodology includes a systematic review of publications on media analytics and algorithmic strategies, a comparative analysis of existing approaches and the construction of a conceptual scheme for the interaction of key parameters. Practical cases analyzed within the framework of the work demonstrate that the implementation of the proposed model can increase the average viewing time, increase the conversion in subscribers and accelerate the start of monetization compared to a static plan. The results emphasize the need to switch to data-driven strategies. The information reflected in the article will be useful to specialists in the field of media management and marketing who are engaged in the personalization and optimization of video content to increase audience engagement and distribution efficiency. The material will also be of interest to other researchers studying the use of adaptive models and niche analysis for dynamic forecasting of trends and preferences of users of digital platforms.