The article presents conceptual approaches to assessing the sufficiency of producers’ product range as an important factor in ensuring regional food security. It substantiates the role of domestic production and raw material processing by agricultural enterprises. The importance of product quality certification and the effectiveness of food producers’ assortment policies in addressing the challenge of providing the population with safe and high-quality food products is revealed. A methodology for comprehensive comparative evaluation of the sufficiency of producers’ product ranges is described, using the example of meat processing enterprises in the Vologda region participating in the voluntary certification system “True Vologda product”. The results of testing this methodology are presented, which helped to determine the role of the studied producers in ensuring food security in the Vologda region.

The purpose of the research. Conducting an analysis of the effectiveness of food producers’ assortment policy by assessing the sufficiency of product range offered by local meat processing enterprises and constructing their ranking based on an original methodology for comprehensive comparative evaluation.

Materials and methods. The study employed a method of multidimensional comprehensive comparative rating evaluation of enterprises, based on a system of two categories of indicators: indicators assessing consumer demand for meat products and indicators measuring sales performance of producers of this product category. Information was collected using enterprise statistical reports and a specially organized online consumer survey. Data analysis was carried out through normalization and aggregation of results, using statistical methods and rating evaluation techniques. The results of the assessment were presented using tabular and graphical methods.

Results. For each producer included in the sample, the level of assortment sufficiency was assessed, conclusions were drawn regarding the effectiveness of their assortment policy, and their role in ensuring food security in the regional food market was determined.

Conclusion. By applying a comprehensive approach and testing the methodology for assessing the assortment sufficiency of meat processing producers participating in the “True Vologda product” brand, the study identified the strengths and weaknesses of these enterprises. This allows an overall evaluation of the effectiveness of assortment policy in the consumer market within this food sector, as well as an assessment of the opportunities and threats to regional food security. The research showed that products from local agricultural producers, made from certified ecologically clean raw materials, have undeniable competitive advantages compared to goods imported from neighboring regions and abroad. However, these products require a more professional approach to the structure and breadth of their assortment in order to reliably meet the growing consumer demand for safe food.

The problem of providing the Russian market with vegetables and fruits has been relevant for quite a long time, due to the unfavorable natural and climatic conditions of Russia, it is quite difficult to solve with the help of combining science and huge investments that agricultural producers do not have. Uzbekistan, as one of the friendly countries, has everything necessary to increase the supply of fruit and vegetable products and can ensure the strengthening of Russia’s food security.

The purpose of the study. The purpose of the study is a comparative analysis of the production of fruit and vegetable products in Uzbekistan and Russia in the context of assessing the saturation potential of the Russian market of fruit and vegetable products and elaborating recommendations for the development of their trade and economic relations.

Materials and methods. The research uses normative, reference, and statistical information. The empirical base of the study was the data from the Federal State Statistics Service of Russia (Rosstat), the Interstate Statistical Committee of the Commonwealth of Independent States (CIS Statistical Committee), the National Committee of the Republic of Uzbekistan on Statistics, and publications in open sources. The object of the study is the market supply of fruit and vegetable products in Uzbekistan and Russia. Statistical methods were used in the paper: descriptive statistics, comparative analysis, dynamic series analysis, monographic and other research methods.

Results. The author’s approach to market research of fruit and vegetable products of Uzbekistan and Russia has allowed for a comprehensive analysis and identification: that production volumes in Russia are higher than in Uzbekistan, due to the larger area and high yield levels, but due to the larger population in Russia, the production level is not sufficient to ensure a high level of self-sufficiency; the main producers in Russia are households of the population and agricultural organizations, which makes it possible to ensure a high level of yield compared to Uzbekistan, where the main producers are households of the population and farms in which manual labor prevails; a high level of self-sufficiency in Uzbekistan makes it possible to maintain a high level of per capita consumption of vegetables and fruits and consume them in sufficient quantities.

Conclusion. Taking into account the results obtained, in order to strengthen Russia’s food security and saturate the Russian market with fruit and vegetable products, recommendations have been elaborated on the main areas of formation and development of tradeand economic relations between the countries, namely the conditions of transport supplies, including logistics, legislation, conditions for storage and distribution of fruit and vegetable products, including the creation of multimodal trade and logistics centers, transshipment hubs, distribution centers, as well as strengthening and expanding trade and economic relations through the use of long-term contracts and online platforms, and others.

Purpose of study. The main purpose of this study is to investigate the long-term relationship between energy consumption and economic growth (per capita) in foreign countries using statistical methods. The identification of the relationship between energy consumption and economic growth provides an indication of a group of countries that are able to reduce energy consumption in the long term, and thus improve energy efficiency.

Research methods. The research methodology consists of the Shapiro-Wilk test for normal distribution, a Box-Koch method for normalization of data and multiple regression analysis. The research database is formed by statistical data of international organizations: Energy Institute, World Bank, World Steel Association, FAO for the period 2000-2019. The transformation of data using the Box-Koch method allowed to increase the number of observations and conduct regression analysis based on normalized data in countries from different regions of the world: South and Central America, Middle East, Europe, CIS, Africa, Australia and Southeast Asia. Based on regression analysis, a model of the multiple regression relationship between energy consumption, steel, agricultural crops and economic growth was constructed.

Results. The result of the study is a multidirectional impact of energy consumption on maintaining the economic growth. The type of economic system is a possible reason for the different nature of the impact on domestic energy consumption. Most of the estimates show a lack of impact between indexes and refer to countries with a significant share of services in GDP. In the overseas agrarianindustrial and industrial countries, which are predominantly located in Asia, North-East Europe, North Africa and the Middle East, there is a positive relationship. For some service-oriented countries in Europe, an inverse relationship between energy consumption and economic growth has been observed. Thus, they demonstrate the ability to reduce energy consumption and maintain economic growth by improving the energy efficiency of their economies.

Conclusion. A shift in the structure of countries’ economic output to services may contribute to making the economies of these countries less dependent on the volatility of energy supplies. The transition to a service-based economy may contribute to an increase in the energy intensity of GDP. However, there are other factors influencing energy consumption, presumably institutional and scientific-technical, which determine the relationship between energy consumption and economic growth. 

The aim of the research is to develop an economic and mathematical model of risk assessment in the service business model of a network enterprise, capable of formalizing the impact of various risk factors on the stability of the network structure and developing effective strategies for managing them.

Materials and methods. The paper uses stochastic methods, optimization methods, graph theory, and system dynamics. The modeling algorithm includes the stages of risk identification, parameter formalization, cascade effects analysis, network structure assessment, and management strategy optimization. The example of the MindSphere IoT-platform and the ecosystem of its participants is used as an empirical base.

Results. A comprehensive approach to quantitative risk ssessment in digital ecosystems has been developed based on cascade analysis, assessment of the centrality of ecosystem nodes, and damage modeling. A comprehensive approach to quantitative risk assessment involves the integration of methods that allow not only to measure the probability and potential damage of individual threats, but also consider their interrelationships, development dynamics and impact on the structure of the service business model of a network enterprise. This approach provides not only the calculation of expected losses, but also the identification of critical points of the system, the development of preventive measures and visualization of the results for informed decision-making, which is especially important for a complex ecosystem where risks are increased due to the interdependence of its participants.

Conclusion. The developed model allows quantifying interrelated risks in service business models, taking into account the network interconnection of risks and structural vulnerabilities of ecosystems. This ensures informed decision-making when managing the stability of the network structure. The results are of practical importance for the industry, which is actively implementing IoT and cloud solutions

The relevance of the conducted research lies in obtaining an assessment of the use of Internet of Things (IoT) networks in the university’s educational process. Educational institutions generate huge amounts of data, from student academic performance to attendance analytics, but their effective use remains limited. Effective processing of this data requires the use of Internet of Things networks.

The purpose of the study is to analyze the use of IoT networks in the organization and management of the university’s educational process using factorial, regression and correlation analyses. This is achieved by solving the following tasks: using factor analysis to identify hidden factors affecting the effectiveness of IoT use; regression analysis to determine the degree of influence of individual factors on performance indexes (satisfaction with the educational process); correlation analysis to assess the degree of closeness of relationships between variables.

Materials and methods. The results of a survey of 200 students were used as research materials. The results of the answers to 13 IoT questions were used to conduct the study. The data analysis was carried out using Python programming language libraries. A frequency analysis was performed based on the following indexes: popular types of IoT devices and usage aspects. Regression analysis showed the relationship between the independent variables “Frequency of use”, “Availability of technology”, “Level of knowledge” and the dependent variable “Satisfaction”. The following factors were selected: “Students’ engagement”, “Technological readiness”, “Impact on the learning process”, “Obstacles”, “Benefit”. Definition of correlation analysis variables: level of knowledge, frequency of use, satisfaction, accessibility, benefit.

Results. Regression models have confirmed the positive impact of IoT networks on student academic performance and reduced time spenton administrative tasks. Correlation analysis revealed a moderate positive relationship between IoT usage and student academic performance and a strong positive relationship between IoT and Faculty time savings. The moderate correlation of “Benefit” (0.51) and the low association of the factor with engagement (0.066) suggests that students perceive the benefit of technology only in the context of their application.

Conclusion. The integration of IoT into the educational process is active. Users of IoT devices in the educational environment value easier access to information and increased motivation to learn. The level of students’ awareness about the use of IoT is at an average level. The most significant factor is the level of knowledge about the use of IoT. The correlation matrix clearly indicates that knowledge and access to IoT, as well as their frequent use, are key factors for increasing satisfaction.