KSHP. OMD №11-2024 el.dop

G. A. Gareeva (Kazan National Research Technical University named after A. N. Tupolev - KAI, Naberezhnye Chelny); D. R. Grigoreva (Kazan (Volga Region) Federal University, Naberezhnye Chelny Institute, Naberezhnye Chelny); A. A. Akhmetgareeva, N. I. Kiamova, F. A. Chernysheva (University of Management «TISBI», Naberezhnye Chelny branch, Naberezhnye Chelny)

Automation and optimization of customer interaction processes

The article describes the process of developing a module of the information system for managing customer relationships. The task «Accounting for work with customers» is selected for automation to simplify and optimize the communication processes between the manager and clients at an enterprise in the mechanical engineering industry. It is based on the idea of creating a convenient and intuitive platform that will allow you to quickly and effectively exchange information, negotiate, manage tasks and control the execution of orders. The 1C:Enterprise 8.3 platform was selected as the implementation environment.
Keywords: automation; information systems; CRM systems; relationship management and with customers; 1C.

 

T. N. Sakulyeva (State University of Management, Moscow)

Container transportation: development prospects

The study analyzes the use of high-speed trains for freight transportation and identifies infrastructure constraints. The problems hindering the development of the high-speed freight transportation market are technical and technological barriers, as well as the lack of full and timely financing of ongoing development projects. Transportation of goods with high-speed delivery will create a new type of railway transport services – «container express». A comparative analysis of the transportation parameters was carried out, taking into account the requirements of shippers and consignees for various delivery methods.
Keywords: container; infrastructure; high-speed transportation; rail transport; technical parameters.

 

O. V. Kitova, L. P. Dyakonova (Plekhanov Russian University of Economics, Moscow)

A set of models and services for forecasting indicators in the field of scientific research and innovation

Building a system for the development and implementation of science-intensive technologies is today the main priority of Russia's strategic development. An state digital platform can become a tool that ensures information integration for the management of the country's national and technological development. The authors propose a variant of architecture of the digital platform for managing the scientific and technological evolution which includes services of cognitive modeling and forecasting. The author's hybrid intelligent system Horizon can be used as a forecasting service.
Keywords: scientific and technological advancement; digital platforms; digital service; scenario forecasting; socio-economic indicators of the Russian Federation; hybrid information and analytical system; cognitive models; ANFIS; microservice architecture.

 

A. B. Mottaeva (Financial University under the Government of the Russian Federation, Moscow)

The theory of «industrial agglomeration» as a tool for sustainable development of Russian regions

The article considers the theory of industrial agglomeration as a tool for the formation of a new regional economic structure with complementary advantages, sustainable and effective development. High-quality and coordinated development of the regional economy is especially important during the global economic crisis. Given the urgent need to integrate theory and practice, a new understanding of the theoretical frontiers and current problems of the regional economy is needed. Systematically mastering the tools of spatial analysis and methods of spatial econometrics, scientifically analyzing the origin of regional economic problems in the process of transformation of Russia's development, and having a deep understanding of a high-quality coordinated strategy for the development of the regional economy is especially relevant. The study analyzes the development of the regional economy of Russia and, based on it, identifies the causes of the formation and mechanisms of development of industrial agglomerations. The relevance of this topic lies in the fact that industrial agglomeration is a tool that contributes to the effective growth and development of regions. In the process of global transformation of the regional economy of Russia, enterprises of related industries cooperate and form geographically concentrated, interconnected and mutually supportive industrial groups (agglomerations). As a result, competition and cooperation between enterprises are increasing within the industrial agglomeration. The increase in the scale and concentration of agglomeration enterprises contributes to the growth of such factors as: resource availability, innovation and technological level, professional and human potential, information and digital levels. As a result of the conducted research, conclusions are formulated that reveal the key stages in the development of the theory of industrial agglomerations and reveal their impact on the sustainable development of Russian regions.
Keywords: transformation; theory; industry; industrial agglomeration; industrial groups; trend; economy; tertiary sector of the economy; region; economic development.

 

L. I. Alibalaeva, V. R. Iksanov, V. M. Savinova (Plekhanov Russian University of Economics, Moscow)

Short-term forecasting of socio-economic indicators of Russia using sequential application of ARIMA and multiple linear regression models

The aim of the study is to develop models for short-term forecasting of socio-economic indicators of Russia using ARIMA and multiple linear regression models. This paper provides a ranking of ARIMA models and multiple linear regression models based on various modifications of the least squares method, such as the standard least squares method, the generalized least squares method, and the weighted least squares method. The ranking is performed according to the increase in computational costs, a decrease in interpretability and an increase in stability. The listed models are applied consistently to the considered socio-economic processes. Obtaining reliable results of short-term forecasting of the studied indicators using a model with lower computational complexity and stability, but a higher level of interpretability, necessitates the absence of the need to build more complex models for short-term forecasting of socio-economic indicators. The paper provides examples of calculating socio-economic indicators, the data on which were collected quarterly for the period 2013–2022. The calculations are carried out within the framework of the information and analytical system «Horizon» developed by the authors.
Keywords: ARIMA; short-term forecasting models; multiple linear regression; least squares method; model ranking.

 

M. R. Safiullin (Kazan (Volga Region) Federal University; Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan); M. D. Sharifullin, Y. A. Kuznetsov (Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan)

Stimulating mechanisms of partner financing in the regions of the Russian Federation based on the implementation of the mechanism of digital financial assets

The study is aimed at a fundamental study of the construction of a system for intensifying the processes of attracting partner financing to the economy of regions based on the use of blockchain and digital financial assets (DFA) derivatives from these technologies. The object of the study is the Republic of Tatarstan. The subject of the study is economic relations regarding the attraction of partner finance to the regions of Russia based on the use of blockchain technologies.
Keywords: partner financing; decentralized finance; blockchain; foreign investment; sanctions pressure; region; macroeconomic externalities; economic growth.

 

D. R. Grigoreva (Kazan (Volga Region) Federal University, Naberezhnye Chelny Institute, Naberezhnye Chelny); G. A. Gareeva (Kazan National Research Technical University named after A. N. Tupolev - KAI, Naberezhnye Chelny); A. A. Akhmetgareeva, N. I. Kiamova, L. A. Ivanova (University of Management «TISBI», Naberezhnye Chelny branch, Naberezhnye Chelny)

Application of the production function to analyze economic growth trends in agricultural enterprises

The analysis of enterprise performance indicators is presented, the accuracy of which is enhanced by the application of the production function in dynamics using data from annual reports of agricultural enterprises to prevent and minimize crisis situations in the agricultural sector, since agricultural enterprises are subject to specific agricultural crises and state support in the current conditions of the economic crisis is not effective enough.
Keywords: enterprise performance indicators; production function; agricultural enterprises; economics.

 

M. R. Safiullin, L. A. Yelshin (Kazan (Volga Region) Federal University; Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan); A. M. Mingulov (Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan)

Mechanisms and directions of sustainable development of agro-industrial sectors of the economy in the context of external constraints

The study is devoted to understanding and searching for strategic guidelines for managing shock resistance (resilience) of meso-level economic systems with a pronounced agricultural profile. In it, using the example of agro-industrial entities of the Volga Federal District, an assessment of the resilience of the studied regions is realized in the context of the transformation of foreign economic relations. The results of testing the author's approaches made it possible to build a strategic matrix of shock resistance of the subjects of the Volga Federal District specializing in the agricultural sector and to determine the potential for their development in the context of ongoing systemic transformations in the geoeconomic and geopolitical agendas.
Keywords: agro-industrial sector of the economy; shock resistance; region; strategic guidelines for management; sustainability of economic growth; sanctions pressure; macroeconomic shock; import dependence.

 

A. Yu. Spiridonov (Federal Scientific Agroengineering Center VIM)

Economic justification of the main design and technical parameters of UAV for the introduction of plant protection products and fertilizers

The economic indicators of organizations involved in agricultural production are considered. The amount of money that an organization will spend on average and most likely when purchasing a UAV is determined. Open source data on the payload masses and price ranges of various helicopter-type UAVs are analyzed. The dependence characterizing the payload mass and the cost of the UAV is determined using correlation analysis in STATISTICA software. The optimal mass of the UAV payload and its full required thrust for takeoff are determined.
Keywords: UAV; design and technological parameters; introduction of plant protection products and fertilizers.

 

As. B. Mottaeva (Financial University under the Government of the Russian Federation, Moscow)

Low-carbon energy is a new direction in the development of the fuel and energy complex of the Russian Federation

The study analyzes the current situation of domestic low-carbon energy-saving technologies, key innovative and technological developments, as well as further ways and directions of development of the fuel and energy complex of the Russian Federation. Taking into account the global trend towards decarbonization, the growth of atmospheric emissions, irreversible climate change, today the era of the development of environmentally friendly and sustainable energy sources has begun. The relevance of the study lies in understanding the need to change traditional energy, which has been an important pillar of the global economy for decades. As a result of the conducted research, conclusions are formulated that confirm the relevance and importance of the transition to low-carbon energy in the fuel and energy complex of the Russian Federation, revealing the impact of digital intelligence on the further sustainable development of the Russian energy industry.
Keywords: green energy; low carbon development; energy transition; decarbonization; renewable energy sources; energy policy; green economy; green technologies; green transformation; ESG; economic and energy efficiency.

 

A. V. Semenov, Sh. Niyazbekova (Moscow Witte University, Moscow); A. T. Bayakhmetova (Almaty Management University, Almaty, Republic of Kazakhstan); E. A. Isaeva, M. A. Gordova (Financial University under the Government of the Russian Federation, Moscow); L. A. Pogorelova (M. I. Platov South Russian State Polytechnic University (NPI), Novocherkassk); D. D. Burkaltseva (V. I. Vernadsky Crimean Federal University, Simferopol); S. N. Kievskaya (The Institute of Legislation and Comparative Law under the Russian Federation, Moscow); B. Bissenbayev (Peoples' Friendship University of Russia, Moscow); L. V. Shirshova (RANEPA, Moscow); B. Zh. Bolatova (Zhubanov University, Aktobe, Republic of Kazakhstan); A. K. Kurmanalina (BUKETOV UNIVERSITY, Karaganda, Republic of Kazakhstan)

Mining industry as one of the most competitive sectors of Kazakhstan's economy

The article is devoted to research on the mining industry of the Republic of Kazakhstan in modern conditions. Everyone knows that Kazakhstan ranks second after Russia among the CIS countries in terms of mining. It has large reserves of a wide range of metal ores, industrial minerals and fuels, and its metallurgical sector is a major producer of large amounts of metals from domestic and imported raw materials. The article notes that the mining industry has become one of the key directions of Kazakhstan's economic policy, attracting significant attention after the introduction of the new «Code of the Republic of Kazakhstan «On Subsoil and Subsoil Use» in 2018, characterized by increased clarity and regulatory efficiency, laid the foundation for Kazakhstan's ascent as a world leader in the field of mineral resources extraction – vision, supported by President Tokayev and adopted by the participating companies of the Kazakhstan Chamber of Mining Industry.
Keywords: mining industry; metal ore; industrial minerals; fuels; volume of mining; the economic sector.

 

V. V. Blinov (Financial University under the Government of the Russian Federation, Moscow)

Demands of the Russian Federation society for the structure of the state budget of the country in the context of geopolitical changes

The results of a sociological study are analyzed, accompanied by a debate on their discussion and an assessment of the relationship between the actual structure of government expenditures and the demands of society. The main idea of the article is to understand how much the structure of the state budget differs from what the country's residents want. The possibilities of bringing the structure of the state budget of the country closer to the demands of society in the context of geopolitical changes are determined. At the same time, the novelty of the work, which distinguishes it from other studies, is the development of its own methodology for determining the demands of society and clarifying the structure of budget expenditures that will best meet the demands of society in the country. The research methodology is based on the use of sociological information, the processing of which involved the method of analytical procedures. Methods of structural and system analysis, literature review were also used. The results of this article are the identification of trends and tendencies in the public consciousness of citizens of the Russian Federation, in their attitude to the budget policy of the country. In addition, data were obtained on the possibilities of developing tools for obtaining such requests.
Keywords: demands of society; state budget expenditures; geopolitical changes.

 

I. V. Dergacheva (Moscow State Psychological and Pedagogical University, Moscow); I. V. Tekucheva (State University of Education, Moscow)

The impact of professional development of specialists in production on cost reduction and profit increase: economic analysis and forecasting

The article presents the results of a study on the impact of professional development of specialists in industrial enterprises on cost reduction and profit increase. Based on econometric analysis of panel data from 150 Russian factories over 2015–2020, a positive relationship was identified between investments in staff training and increased labor productivity, reduced defects, and equipment downtime. The application of the «difference-in-differences» method made it possible to estimate the net effect of qualification improvement programs, averaging a 7 % output increase and a 4 % annual cost savings per worker. A forecasting model is proposed, showing that a 10 % increase in spending on professional development, all other things being equal, would provide the enterprise with an additional 2,5 % net profit. The results provide a theoretical and methodological foundation for the economic effectiveness of investments in human capital and can be used to optimize the HR strategies of industrial companies.
Keywords: professional development; labor productivity; industry; costs; profit; econometric analysis; HR investments.

 

E. V. Zyuban (Tyumen State University, Tyumen)

Business IT readiness for digital transformations

Digital transformations in business and other areas require relevant products. The problem of adaptability of methods and models for assessing personnel readiness for digital processes of a company and enterprise is urgent. The article analyzed approaches to personnel management. An evolutionary digital ecosystem management model and an expert heuristic model based on IT readiness testing (assessment of the level of readiness) have also been developed. The «fuzzy» statement of the problem is also given. A test case for the competencies of the company's system administrator is considered. Work can develop in the direction of complicating hypotheses and models, taking into account new factors, in particular, «noise».
Keywords: digital transformations; technologies; personnel readiness; company division; business processes.

 

V. S. Zaburdyaev, F. S. Belousov (Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow)

Safety of cleaning operations in coal mines according to the gas factor

The paper presents the results of research on the degassing of coal seams using preparatory workings and degassing wells in Russian mines. Issues such as the methane content of coal seams, the methane abundance of treatment workings, the processes of methane degassing in mines, as well as the dynamics of methane release have been studied. Scientifically based technical solutions have been applied to methane-hazardous mines, taking into account the natural methane content and gas output of coal seams, the parameters of degassing and the dangers of the worked-out spaces. The results of the study were obtained by summarizing the best practices of mines in the development of gas-bearing coal seams and the introduction of new technological solutions to reduce methane emissions, prevent explosive situations, effectively determine the initial data on formations, select methods and parameters of degassing. The new technology of coal bed degassing makes it possible to reduce the volume of drilling wells, the number of sealing units from the suction of mine air, air consumption in the worked-out space depending on coal mining and methane content, which contributes to ensuring the safety of cleaning operations by the gas factor. The study suggests the use of innovative technical solutions, confirmed by patents for inventions, in order to ensure the safety of cleaning operations on the gas factor in coal mines.
Keywords: degassing; coal seam; underground mining; treatment work; excavation area; gas factor; methane abundance; well; methane content; drift; methane release.

 

Sun Hui, Zhuang Xintong (BSTU «VOENMEH» named after D. F. Ustinov, St. Petersburg)

New approaches to ensuring security and improving the efficiency of 5G wireless networks

An innovative model for ensuring 5G security is proposed, demonstrating a 30 % increase in cryptographic strength compared to existing analogues. Original methods for detecting anomalies and predicting attacks based on machine learning algorithms have been developed, ensuring threat detection with an accuracy of over 95 %. The network architecture has been optimized, which has increased the data transfer rate by 20 % while reducing energy consumption by 15 %. The results obtained make a significant contribution to the development of the theory and practice of building secure, highly efficient next-generation wireless networks. The proposed approaches open up broad prospects for further improvement of 5G technologies both in terms of increasing security and in terms of improving key performance characteristics.
Keywords: 5G; wireless networks; information security; cryptography; machine learning; network optimization.

 

A. V. Semenov, Sh. Niyazbekova (Moscow Witte University, Moscow); Sh. B. Sarbassova (Public Council of the Ministry of Labor and Social Protection of the Republic of Kazakhstan, Astana, Republic of Kazakhstan); A. B. Bekmagambetov, M. T. Adilov (Republican Scientific Research Institute for Labor Protection of the Ministry of Labor and Social Protection of the Population of the Republic of Kazakhstan, Astana, Republic of Kazakhstan); V. D. Rozhkov, L. I. Fadeeva (Academy of Labor and Social Relations, Moscow); M. A. Gordova, G. T. Omarova (Financial University under the Government of the Russian Federation, Moscow)

The socio-economic aspect of labor protection in industries and spheres in the context of digitalization

Ensuring the safety of workers at the workplace or site from any danger that exists at the facility. In the socio-economic aspect, a distinctive feature of labor protection is that in the first place is the care of employees, regardless of their level at work. Occupational safety organizations strive to apply international occupational safety standards as part of the organization's efforts to ensure all safety measures for both employees, the production facility and the environment. The purpose of the study is to study the socio-economic aspect of occupational safety in the context of digitalization and in modern conditions. Occupational safety issues and problems are becoming more generalized and explicit, and in order to understand them it is necessary to take into account a wide range of social connections, and only relying on society, they can be solved. Achieving safety at work or production contributes to the management process, where the employee works with self-confidence, and this motivates him to high-quality work and responsibility.
Keywords: labor protection; employee care; safety, environment; labor safety; economic sphere; digitalization; industries and spheres.

 

F. B. Tebueva, S. S. Ryabtsev, M. G. Ogur, I. A. Andreev, S. A. Goryainov (North-Caucasus Federal University, Stavropol)

Model of threats to information security of agents in a decentralized environment of the Internet of Things, formalizing scenarios of attacks on the information security of trusted interactions

The spread of decentralized IoT networks, such as smart cities and industrial IoT, requires an accurate assessment of the degree of protection of trusted interactions between devices. Known approaches to information security in the IoT are often limited to a fixed level of trust between agents and do not take into account dynamic changes in the network state, attacks aimed directly at agent interactions, and multi-vector attacks. The proposed model of information security threats takes into account a probabilistic approach to assessing the trust and security of agents, allowing interactions to be described through individual probabilities of device compromise and their resistance to various types of attacks. The novelty of the proposed model lies in the formalization of trusted interactions taking into account the probabilities of compromise, featuring a probabilistic approach to describing trusted interactions between IoT devices, as well as formalization of scenarios of specific attacks aimed at changing the behavior of agents in a decentralized IoT network. Modeling was carried out to assess the impact of attacks on the information security of trusted agent interactions, the results confirmed the need for regular monitoring and dynamic revision of trust indicators between agents. The practical significance of the proposed solutions lies in the ability to provide a more accurate and comprehensive assessment of information security threats in decentralized IoT networks, which makes it possible to increase the reliability of the system in conditions of intensive decentralized interaction of agents.
Keywords: Internet of Things; multi-vector attacks; distributed ledger; decentralized environment; collective decision-making process.

 

F. B. Tebueva, S. S. Ryabtsev, A. D. Chernobrovkin, A. N. Gordienko, D. A. Dikansky (North-Caucasus Federal University, Stavropol)

Mathematical model of trusted interaction of agents in a decentralized environment of the Internet of Things when performing functional tasks

A mathematical model of trusted interaction which takes into account the structure of the decentralized environment of the Internet of Things, a systematic approach and formalization of the object-subject approach is created. Recommendations for the selection and evaluation of multidimensional attribute parameters of a node for adaptation to various scenarios of using the Internet of Things are proposed. Experimental studies are performed with Python 3.10 programming language. The modeling results show the effectiveness of the proposed mathematical model according to the criteria of «Generalized assessment of group trust» and «Success rate of detecting malicious agents». The scientific novelty lies in the development of existing models of trusted interaction for a fundamentally new class of attribute parameters of nodes in the decentralized environment of the Internet of Things.
Keywords: decentralized environment of the Internet of Things; trusted interaction; trusted agents; dynamic agents; malicious agents; subject agents; object agents; multidimensional attribute parameters.