Vol 1, No 3 (2025)
Management
Crisis management in the organization of mass sports events
Abstract
Introduction. The article is devoted to the study of crisis management in the organization of mass sporting events. The relevance of these issues is due to the high vulnerability of such events due to their mass nature, complex logistics, emotional factors and intense media attention, which requires the development of effective mechanisms for crisis management and response.
Materials and methods. The research is based on a systematic analysis and classification of risks, as well as modeling of crisis management processes, using methods of comparative analysis of theoretical approaches and practical cases, which made it possible to identify the key phases of crisis management.
Research Findings. The author's classification of crisis situations has been developed, which includes four typological groups: crises in the field of safety and health, organizational and logistical, reputational and communication, and external insurmountable crises. A three-level crisis management model is presented, including phases of prevention, immediate response and recovery. The key role of proactive measures, such as comprehensive risk assessment, development of action plans and training, is emphasized.
Discussion and conclusion. The practical significance of the work lies in the possibility of applying the proposed models by event organizers, government and law enforcement agencies. Digitalization of security systems, cyber risk management, and adaptation of models to cross-border activities are promising areas for further research.
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The use of AI in strategic planning
Abstract
Introduction. In the context of digital transformation and the growing uncertainty of the external environment, strategic planning is becoming critically important to ensure the competitiveness and sustainable development of organizations. Traditional planning methods are often difficult to use for processing large amounts of data and forecasting in real time.
The relevance of the research is due to the need to introduce intelligent tools that can improve the accuracy, flexibility and effectiveness of strategic decisions.
The scientific novelty lies in a comprehensive analysis of the evolution of the use of AI in strategic planning in recent years.
The purpose of the study is to analyze qualitative changes in the use of AI for strategic planning and assess their impact.
To achieve the goal, the following tasks were solved:
– to identify key areas of development of AI technologies for strategic planning;
– analyze the evolution of methodological approaches to integrating AI into strategic processes.
The object of the research is the process of strategic planning in modern organizations.
The subject of the research is the integration and changes of AI functions in strategic planning.
Materials and methods. The methodological basis of the study was a system analysis, a comparative analysis of modern AI platforms, an analysis of scientific publications in recent years, as well as expert assessments of the implementation of AI solutions in strategic planning. Special attention was paid to the analysis of the National Strategy for the Development of Artificial Intelligence and the practices of implementing programs for the digitalization of strategic management.
Results of the study. The conducted research demonstrates that Russia is systematically moving towards the integration of artificial intelligence into the practice of strategic planning at all levels of government. The formed architecture of state support, the creation of a national-scale digital platform and the accumulated experience of pilot implementations create the basis for a qualitative transformation of the strategic management system in the country.
Discussion and conclusion. The conducted research demonstrates that the use of artificial intelligence in strategic planning in Russia is moving from the stage of theoretical understanding to the practical plane of system implementation. The results obtained allow us to state the formation of an integrated ecosystem of AI implementation, combining government initiatives, industry projects and corporate practices.
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The introduction of digital technologies into the quality management system of the organization
Abstract
Abstract
Introduction. Modern organizations face the need to move from traditional, often time-consuming methods of quality control to automated systems that provide real-time data collection, analysis, and decision-making.
The relevance of the research is due to the need for a trend towards the introduction of digital technologies into the quality management system of the organization.
The scientific novelty lies in a comprehensive analysis of the use of digital technologies in the quality management system of an organization by industry in the Russian Federation.
The purpose of the study is to analyze the impact of digital technologies on the quality management system, to assess their impact and trends.
To achieve the goal, the following tasks were solved:
– consider the general provisions of quality management systems (QMS) and their relationship with digital technologies;
– analyze current statistical data on the use of digital solutions in Russian companies;
– conclusions and forecasts of further development of QMS digitalization are formulated.
The object of research is the quality management system (QMS) of an organization in the context of digital transformation.
The subject of the research is the integration of digital technologies into the QMS.
Materials and methods. The methodological basis of the study was a system analysis, a comparative analysis of statistics on the introduction of digital solutions into the QMS processes of enterprises in the Russian Federation, and an analysis of scientific publications in recent years.
The results of the study. The conducted research demonstrates that digitalization has the most noticeable impact on QMS in highly automated industries (mechanical engineering, mining metallurgy, food industry), as well as in the service sector (healthcare, logistics and retail). End-to-end technologies (AI, Big Data, robotics) everywhere accelerate data processing and increase the accuracy of analysis, but there is still a gap between digitalization of operations and quality management. Although digital solutions (MES, sensors, digital twins) provide QMS with operational feedback, the proportion of successfully implemented projects remains low. An important role is played by the use of domestic IT systems, taking into account the requirements of standards and information security.
Discussion and conclusion. The conducted research demonstrates that the development of cloud technologies and platform solutions contributes to a deeper study of the centralization and standardization of quality management system procedures, which is especially important for organizations with a multi-level structure. Using cloud solutions, you can get reliable information about the current state of quality processes at any time, speed up internal audit procedures, and optimize interaction both within the company (between branches and divisions) and with counterparties (suppliers).
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India as a strategic market: opportunities and barriers for Russian companies.
Abstract
Annotation.
The article provides a comprehensive analysis of India as one of the most promising strategic areas for expanding the activities of Russian companies in the context of reformatting global economic ties.
The purpose of the study is to identify key opportunities and barriers for Russian companies entering the Indian market.
The object of the research is the foreign economic activity of Russian companies.
The subject of the research is the specifics of the functioning of the Indian market and business conditions for foreign companies.
Research objectives include:
- Analyze the current state of the Indian economy and its strategic advantages;
- Identify systemic barriers affecting the effectiveness of Russian companies' entry into the Indian market;
- Identify promising areas of cooperation and optimal adaptation models.
The relevance of the study is due to the rapid transformation of India into one of the world's largest economies with significant demographic potential, the growing purchasing power of the population and the consistent government policy aimed at stimulating foreign investment through initiatives such as "Make in India".
The paper systematizes and examines in detail the key opportunities for Russian business — the potential for cooperation in high-tech sectors, the development of joint projects in the military-industrial complex, the expansion of energy supplies, as well as the growing demand for consumer goods and services from the multimillion-dollar middle class.
At the same time, an in-depth analysis of systemic barriers and challenges is being conducted, including a complex regulatory system, regional differences, high competition, and cultural peculiarities that require adaptation of business models and marketing strategies.
Based on the analysis, it is concluded that, despite the obstacles, the strategic advantages of entering the Indian market for Russian companies are of a long-term nature. The key to success is an integrated approach, including partnerships with local companies, in-depth market research and long-term investments.
Materials and methods. The study is basedon an analysis of statisticaldata from the Ministry of TradeandIndustry of India, the WorldBankand the FederalCustomsService of Russia.Methods of comparativeandstructural-functionalanalysis,PEST-analysis,aswell as a systematicapproachtoidentifying the interrelationshipsbetweeneconomic,institutionalandsocio-cultural factorsdetermining the specificsofRussiancompanies entering theIndianmarket were used.
Research Findings. Indiaisoneof the mostdynamicallydevelopingeconomies in the world,andcooperationwithRussiahas a steadyupwardtrend.Since2022, the volume of tradebetween the two countries has increased2.5times,mainlydue to suppliesfromRussia.At the same time, the mainbarrierswereidentified:complexbureaucraticprocedures,heterogeneity of the taxsystem,currencyrestrictions,culturaldifferencesandhighcompetition. The results of the studyconfirmthat in order to gain a stablefoothold in theIndianmarket, Russiancompaniesneed to implementadaptationstrategiesbasedonlocalization,partnershipwithlocalorganizationsanddigitalmarketing.
Discussion and conclusion. The data reviewed allow us to assert that India represents a strategic direction for Russian foreign economic expansion. Despite the barriers and high competition, the advantages of the Indian market — a large audience, demographic potential, and government support for investments — make it a priority for the long-term development of Russian companies. The discussion showed that success is possible. India can become a sustainable destination for the diversification of Russian exports and technology transfer. The prospects are connected not only with trade cooperation, but also with the formation of joint innovation ecosystems, which corresponds to the strategic interests of both countries.
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DIGITAL TRANSFORMATION IN HOUSING CONSTRUCTION DESIGN
Abstract
Introduction. With the rapid development of technology, digital transformation is becoming the engine of progress in construction, especially in the housing sector. Modern approaches to the design and construction of buildings are changing dramatically, opening the way to more efficient, high-quality and fast housing construction.
Housing construction is the foundation of the well–being of millions of people. With the growth of cities and populations, the need for innovative solutions for design and construction is becoming urgent. Outdated methods can no longer cope with the requirements for speed, accuracy and economic feasibility.
Digitalization of processes in housing construction makes it possible to optimize every stage, from idea to implementation. The use of technologies such as BIM, artificial intelligence, and big data analysis significantly reduces time and costs, reduces errors, and improves the quality of finished housing.
Digital technologies play a crucial role in the transformation of housing construction. Thanks to them, the interaction between all participants in the process is better established, which contributes to a positive trend for greater efficiency and proper use of resources.
It is necessary to have a clear understanding of exactly how such integrations affect the process of designing and implementing housing construction projects. The analysis of what prospects may be with the digitalization of the construction industry plays a key role in the development of the industry. This approach will make it possible to improve existing design solutions. The above-mentioned factors are vital for all stakeholders in the construction market.
The introduction of such technologies into the housing project management process makes it possible to optimize work processes, reduce risks, and improve the quality of work. This is the basis for the most efficient and sustainable housing construction in the future.
Materials and methods. In the process of writing this article, an analysis of research has been carried out, the topic of which is digital transformation in housing construction and project management. Methods such as comparative analysis, classification, and an inductive approach were used in the work.
Research results. A model has been developed that clearly demonstrates the necessary tools and data for the housing design process at all its stages. The research results are valuable information for industry experts (designers, developers, investors).
The introduction of tools such as BIM modeling, artificial intelligence, and IoT technologies into the housing project development process makes it possible to optimize project management, shorten construction time, reduce costs, and improve coordination among all stakeholders. Thanks to this, it became possible to communicate more easily, the possibility of remote management, as well as optimize planning, budgeting and control. Automated monitoring makes it possible to increase security, and new resource management technologies have made it possible to allocate material and human resources more efficiently.
Discussion and conclusion. The conducted research has shown that due to digitalization, housing construction has become much more efficient. Modern digital tools have provided transparency of communication, the possibility of remote management, as well as optimized planning, budgeting and control. Automated monitoring has improved security, and new resource management technologies have made it possible to allocate material and human resources more efficiently.
As a result of our work, we have developed a scheme that clearly demonstrates all the key components of digital transformation in the field of design. The components shown in the diagram are designed to significantly simplify the implementation of digital tools in design practice.
Keywords. Design. Development. BIM-technologies. Artificial intelligence. 3D printing. Sustainable construction. Construction. Digitalization.
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Economics
FORMING AN INVESTMENT PORTFOLIO FOR AN ENTERPRISE IN CONDITIONS OF ECONOMIC TURBULENCE (ON THE EXAMPLE OF ATOMSTROYCOMPLEX-CONSTRUCTION LLC)
Abstract
Introduction. Currently, investment management is one of the key factors in increasing financial flows and achieving the set economic goals of an enterprise [1]. In the context of national currency instability, constantly changing geopolitical risks, and economic environment uncertainty, the formation of an effective investment portfolio plays a role not so much in multiplying financial flows as in preserving capital and protecting it from growing economic risks.
The relevance of the study lies in the need for enterprises to adapt to changing economic conditions and find the most profitable directions for capital investment through the formation of an effective investment portfolio. The degree of development of the problem of investment portfolio formation is quite high; however, many studies focus on a general approach without considering the specifics of individual enterprises or industries. In addition, today there are no scientific methodologies for investment management in crisis conditions and analysis of their application for capital preservation and growth [1].
In this context, the study is applied in nature, focusing on the economic conditions and needs of a specific enterprise, which allows for a deeper understanding of investment management processes and the proposal of more precise recommendations. The purpose of this study is to form an investment portfolio for the enterprise LLC "Atomstroykompleks-Stroitelstvo" and evaluate its effectiveness.
Achieving the stated goal involves solving the following tasks:
- analyze current market conditions for investment; assess the financial condition of LLC "Atomstroykompleks-Stroitelstvo" and the structure of the enterprise's existing investment portfolio;
- determine the optimal combination of investments taking into account the given criteria of profitability and risk;
- evaluate the economic efficiency of the proposed portfolio;
- develop recommendations for managing the formed investment portfolio.
The object of the study is investment activity related to the formation and management of an investment portfolio.
The subject of the study is the set of processes arising in the formation, evaluation of profitability, and risk of a securities portfolio for the enterprise LLC "Atomstroykompleks-Stroitelstvo".
Materials and methods. The methodological apparatus of the study consisted of general scientific and special methods (analysis of the enterprise's financial indicators, comparative analysis method, fundamental analysis of financial assets, as well as models for selecting an optimal portfolio, including H. Markowitz's portfolio theory).
The information base of the study includes financial reports and internal documents of LLC "Atomstroykompleks-Stroitelstvo", statistical data on the construction sector, as well as scientific articles and textbooks on finance and investment management.
Results of the study. The developed investment portfolio for the enterprise LLC "Atomstroykompleks-Stroitelstvo" is based on the application of the Markowitz model and includes a conservative strategy with moderate growth. Using the "Solver" add-in in MS Excel, the Markowitz efficient frontier was constructed—a set of portfolios offering the highest expected return for a given level of risk. Two key optimization tasks were solved: minimization of portfolio risk under the condition of achieving a target return, and maximization of portfolio return under the constraint of a maximum allowable risk level. For the first task, a conservative but positive target return of 8% per annum was taken, corresponding to current high rates and economic conditions. For the second task, the maximum allowable risk was limited to 4%. The minimum risk portfolio demonstrates an expected return of 6% per annum with a risk (standard deviation) of 2,5%. This option is most preferable for a conservative strategy aimed at capital preservation and gradual increase in its value with minimal fluctuations. The maximum return portfolio offers a higher expected return—9,1% per annum—but this is achieved at the expense of taking on greater risk (4.7%). This portfolio is suitable for a company willing to accept moderate risk to achieve higher financial results.
Based on the Sharpe ratio (return to risk ratio), the most balanced solution is the maximum return portfolio (0.65 versus 0.59 for the minimum risk portfolio). It offers the best ratio of additional return per unit of accepted risk. Thus, for LLC "Atomstroykompleks-Stroitelstvo", the implementation of the maximum return portfolio is recommended, with the following structure: increasing shares in the most profitable stocks (LSR, Diasoft, GK "Astra", PIK) while maintaining a significant portion of own stocks and reliable bonds to ensure stability.
Discussions and conclusions: The practical use of the formed portfolio will allow LLC "Atomstroykompleks-Stroitelstvo" to minimize credit, market, and liquidity risks, contributing to capital preservation and its gradual growth in an unstable economic environment. Recommendations for restructuring, including reducing the share of debt instruments to 30–40% and redirecting funds to the core business (50–60%), will ensure increased profitability and adaptation to geopolitical challenges such as sanctions and currency volatility.
In conclusion, the proposed investment portfolio model, based on Markowitz theory and fundamental analysis, demonstrates potential for achieving an optimal balance of return and risk. For effective management, regular market monitoring, portfolio structure adjustment, and the use of hedging tools are recommended, which in the long term will strengthen the enterprise's competitive positions in the construction sector.
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Issues of integration of business processes of modern companies.
Abstract
Annotation: The article is devoted to the study of problematic issues of integration of business-processes in general-type organizations. The authors distinguish between concepts and methods introduced by effective regulations of functional areas of a modern enterprise, including technological, organizational and normative components. Referred to the role of inter-dunarodnogo standard ISO 9001 in formation effective integrated systems organizations to provide high-quality operations effectiveness and usability in the most common way. A detailed analysis of the evolution of the integration process, related to classical methods of reinvention and ending with modern digitalization tools such as ERP systems and technological advances. Other interpretation is used in general, theoretical and theoretical terms. practical problems related to proven integration of business processes, among which are the lack of unified models, granting adaptation of methods of local languages, and the lack of full-fledged mechanisms for evaluating the effectiveness of integration of projects and the complexity of innovation of heterogeneous information systems. Practical first. Proven research has revealed the problems that arise with how to integrate corporate systems with highly unified platforms. Privileged in statuses are first used in neo-obscurity to further explore integration issues in order to form an all-encompassing theoretical-practical basis, self-contained to improve organizational dynamics and ensure sustainable growth in a modern economy. Eliminate lack of correctness of good-model organizations and the popular presentation de el persona antes el integración de la organización's negocios procesos mientras eliminando doblaje funciones.
136-161
Informatics
Comparing Python and MyOffice in different tasks
Abstract
Introduction. This article presents a comparative analysis of the capabilities of the Python programming language and the MyOffice software suite for solving various analytical tasks. The study covers key aspects such as processing large volumes of data, report automation, implementation of machine learning algorithms, and integration with external systems.
Based on the analysis of technical documentation and practical examples, it is demonstrated that Python, utilizing libraries such as Pandas, NumPy, and scikit-learn, provides significant advantages when working with data volumes exceeding 100 MB, reducing processing time by 3-7 times compared to MyOffice. The possibilities for automating routine operations and building predictive models are analyzed.
The article discusses the ongoing relevance of the MyOffice service for operational analysis of small datasets, interactive visualization, and collaborative work. A hybrid approach to using the tools is proposed, where Python is used for complex computations and data processing, and MyOffice is used for visualization and presentation of results.
The research findings are of practical value for data analysts, IT managers, and business analysts faced with choosing the optimal tools for solving professional tasks.
Materials and methods. Technical books on the Python programming language and the technical documentation for MyOffice were used in writing the article.
Research Findings. As a result, information from the sources was analyzed, and examples were given on how Python can be used for mathematical tasks.
Discussion and conclusion. The conducted research has made it possible to systematize the strengths and weaknesses of Python and MyOffice in solving various analytical tasks. The obtained results demonstrate the advisability of a differentiated approach to selecting tools, depending on the specifics of the tasks being solved, the volume of data, and performance requirements.
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AUTOMATION OF THE ELECTRONIC SIGNATURE CERTIFICATE CHAIN VERIFICATION PROCESS
Abstract
Abstract
Introduction. The relevance of this study is determined by the existing gap between the theoretical foundations of Public Key Infrastructure (PKI) and the practical implementations of electronic signature (ES) verification systems. Many existing solutions are limited to basic verification, failing to provide comprehensive validation of the entire certificate chain, including revocation status checks and semantic constraints. The aim of the work is to develop and implement a software module for automating the full-scale verification of an electronic signature certificate chain.
Materials and Methods. The object of the study was X.509 certificate chains in the context of establishing trust within PKI. A set of methods was applied to achieve the goal: analysis of PKI standards (X.509, RFC 5280) was conducted, a multi-level verification algorithm was developed, and a system prototype was implemented in Python using the cryptography library. The methodology included modular system design, implementation of pipelined data processing, caching of Certificate Revocation List (CRL) requests for performance optimization, and step-by-step validation: parsing, chain building, signature verification, validity period checks, revocation checks, and extension validation.
Research Results. The outcome of the work is a software module that provides end-to-end automation for verifying certificate chains. The developed integrated algorithm combines all verification stages into a single pipeline, including building the trust chain and performing multi-level validation with detailed error diagnostics. To optimize performance, a CRL caching mechanism was implemented to reduce network load, and a subsystem for generating structured reports in both machine- and human-readable formats for subsequent analysis was developed.
Discussion and Conclusion. The practical significance of the research is confirmed by the potential use of the developed module as a PKI security audit tool, a component of electronic document management systems, and an automation tool in CI/CD processes. The effectiveness of the proposed solution is proven by its ability to provide reliable and scalable verification of trust chains. Future development of the system is associated with adding support for OCSP, adaptation to national ES standards, and integration with promising cryptographic algorithms.
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ARCHITECTURE AND IMPLEMENTATION OF A SECURE E-DOCUMENT FLOW SYSTEM
Abstract
Abstract
Introduction. This article addresses the scientific and technical challenge of enhancing the efficiency and security of electronic document management through the development of an optimized software architecture for working with qualified electronic signatures (QES). A comparative analysis of cryptographic algorithms according to GOST R 34.10-2020 [1] and international standards was conducted. A multi-layer model of a software module was developed, enabling integration with corporate information systems via an Application Programming Interface (API). A caching algorithm for requests to Certificate Revocation Lists (CRLs) was proposed, reducing the load on certification authorities. A functional prototype was implemented in Python using certified cryptographic information protection tools, CryptoPro CSP. The functional and temporal characteristics of the system were experimentally established for processing documents up to 100 MB in size.
Materials and Methods. The research object was a secure electronic document management system based on a Public Key Infrastructure (PKI). The work employed methods of comparative analysis of GOST R 34.10-2020 cryptographic algorithms, design of multi-layer software architecture, and algorithmization of caching processes. The Python programming language and the certified CryptoPro CSP cryptographic information protection tools were used to implement the prototype.
Results. A multi-layer architecture of the software module with REST API integration was developed. An intelligent caching algorithm for requests to Certificate Revocation Lists was proposed. It was experimentally established that the system provides a signing time of 420.1 ms and a verification time of 395.4 ms for a 100 MB document, which is 15-20% superior to typical implementations.
Discussion and Conclusion. The practical significance of the research lies in creating a solution that ensures the legal validity of electronic documents while reducing the load on certification authorities. The obtained results can be applied in corporate and state electronic document management systems.
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