Aim. The work aimed to develop the methods for calculating the age and gender number of employed people among the region’s population by annual age categories based on the indicators of sampling inquiry of the labor force.

Objectives. The work seeks to analyze the initial data on the number of employed people among the permanent population by one-year and ten-year age categories, available in federal and departmental statistics; to develop and test methods for obtaining a profile of employed people in terms of one-year age and gender categories based on scaling the employment profile of workers and based on smoothing the indicators of a sampling inquiry of the labor force; to evaluate the capabilities of the results of modeling the age and gender number of employed people in terms of one-year age and gender categories using two methods (scaling and smoothing) to calculate the total and replacement staffing requirements.

Methods. The study employed the method of scaling the profile of the number of employees and the method of smoothing the microdata of sampling inquiry of the labor force. Results. The authors developed two methods for reconstructing the annual number of employed people taking into account the age and gender structure based on the indicators of sampling inquiry of the labor force. For the Republic of Karelia, the number of employed people by annual age categories was calculated using scaling and smoothing methods. The results of calculating the number of employed people by annual age categories were compared using different methods. The number of retired employees and the attrition rate were calculated.

Conclusions. The reconstructed indicators of the age and gender profile of employed people in terms of annual age categories were used to obtain the characteristics of the workforce with distribution by gender and age, as well as to track the dynamics of changes in the number of employed people in different age cohorts. The reconstructed indicators of the number of employed people in terms of annual age categories cannot be used to calculate correctly the outflow of employed people in older age categories and thereby determine the natural age attrition rates. In this regard, it is required to refine the mathematical model for reconstructing the indicators of the number of employed people in terms of annual age categories.

Aim. The work aimed to identify the main approaches to creating digital twins of an organization (hereinafter referred to as DTO) and develop recommendations for their creation and implementation in accordance with the state of digital transformation of Russian organizations.

Objectives. The work seeks to study the features of the current stage of development of the digital twin concept, as well as the directions of its evolvement; to propose a classification of digital twins depending on the complexity of the digital technologies used in them; to identify the boundaries of the concept of “digital twin of an organization”; to review existing approaches to the implementation of DTO; and to develop a model of the DTO architecture.

Methods. The work employed the methods of analyzing scientific publications of Russian and international authors, theoretical generalization and systematization of data obtained from open sources, as well as economic and organizational modeling.

Results. The study identified five stages of development of the digital twin concept. This concept, in accordance with the general law of evolution, developed under the influence of digital technologies corresponding to the period, while expanding its scope of application from a part of a product to a system, with an organization or an industrial enterprise being its special case. The work presents the characteristics of digital twins of the current stage, and proposes their classification depending on the complexity of implementation technologies. The work also identifies the boundaries of the concept of “digital twin of an organization.” The author formulated definitions of the concepts of “digital model of an organization” and “digital twin of an organization,” and outlined the key approaches to creating a DTO. Based on the classical approach, a model of the digital twin architecture for an industrial enterprise was developed.

Conclusions. As part of the implementation of digital transformation, understanding the features of the digital twin functioning and structure enables management to make informed management decisions that help maintain the organization competitiveness and increase the flexibility of its business activities. The developed model of the DTO architecture can be used by managers of enterprises implementing digital transformation.

Aim. The work aimed to identify the main problems of establishment and functioning of small business enterprises, as well as to suggest possible ways to overcome them, which can potentially contribute to improving the position of small business in the economy of St. Petersburg.

Objectives. The work seeks to characterize the current state and prospects for the development of small business; to reveal the key problems of small entrepreneurship functioning and ways to solve them in the current economic situation in St. Petersburg.

Methods. The work employed a modern methodology of socio-economic research, including the application of system and process approaches, as well as comparative analysis, empirical and analytical methods.

Results. A range of problems arises at small business enterprises in St. Petersburg. The major problems include limited access to financial resources; difficulties in overcoming bureaucratic barriers, including long periods of registration, obtaining permits and licenses; a high level of competition from large corporations with significant financial and technological resources; insufficient government support, despite the subsidy and preferential loans programs.

Conclusions. The increase the sustainability and competitiveness of small business enterprises in St. Petersburg requires the strengthening of integration of modern technologies into production processes in order to reduce costs and improve product quality, as well as optimize cost and financial flow management to increase profitability and accelerate asset turnover. It also requires more frequent use of available government support programs, including subsidies, grants and preferential loans; expanding the geographic presence of small businesses by entering new regional markets to increase the customer base and diversify risks; improve the reputation of little-known enterprises through participation in social initiatives and focusing on the modernity and innovativeness of their products.

Aim. The work aimed to determine the degree of influence of regional factors on the development of creative network elements in the field of performing arts, artistic creativity, and architecture within regions.

Objectives. The work seeks to review assemblies and relationships within regional creative networks; to identify factors stimulating the development of creative networks in terms of organizations that generate a creative product, organizations that promote the distribution of a creative product, and organizations that perform general infrastructure functions.

Methods. The study employed the data analysis and generalization to demonstrate that the network nature of the functioning of creative industries indicates the relevance of modifying approaches to stimulating their development within regions, within the method for creating regional ecosystems.

Results. The work revealed the relationship between the level of the creative network localization and the degree of influence of factors of the creative entrepreneurship development. Creative networks, being initially regionally localized, demonstrate significant relatedness both with factors characterizing the macroenvironment and with the tools of organizational support for their activities. Creative networks performing national and international activities depend marginally on regional factors. This should be taken into account when forming development programs.

Conclusions. In the course of drawing up development programs for regional creative networks, it is advisable to use methods that have the greatest impact on assemblies and relationships, namely digital tools for maintaining the strength of creative network relationships.

Aim. The work aimed to study the possibilities for the application of neurointerfaces (brain-computer interface, BCI) and augmented reality (RA) technologies in the field of public administration.

Objectives. The work seeks to review the current state of relevant neurotechnologies and AR solutions; to analyze potential fields of their application in management practice, from decisionmaking support using neuroanalytics to the creation of interactive interfaces for interaction with the population; to consider the key ethical, legal, and technological challenges associated with the implementation of these solutions, including issues of confidentiality, data protection, legal regulation, and infrastructure availability.

Methods. The work employed a comprehensive analysis of the phenomenon of neurointerfaces and augmented reality technologies in public administration, based on the fundamental theoretical principles of neurobiology, in particular the mechanisms of neural information processing, and the sociology of management, including models of organizational behavior, and decision-making processes in government institutions.

Results. In the context of the rapid development of digital technologies, government institutions face new opportunities to optimize management processes, improve the efficiency of interaction with citizens, and transform approaches to the education and professional training of public service employees.

Conclusions. The work reveals the high potential of using neurointerfaces and augmented reality technologies to increase the transparency, adaptability, and efficiency of government institutions, as well as the problematic aspects of implementing these technologies at the current stage. The work also identifies fields for future research and implementations.

Aim. The work is aimed to develop a human resource management model to ensure corporate sustainability and improve the efficiency of companies under green economy.

Objectives. The work seeks to study existing approaches and promising fields of green human resource management; to analyze key processes and develop a model of green human resource management; to reveal the advantages of green management and the main related problems in personnel management; to analyze the companies implementing green approaches to human resource management in order to reveal the effect of the activities implemented; to develop recommendations for improving corporate sustainability and the efficiency of green human resource management.

Methods. The authors applied methods of logical analysis and data interpretation. The research algorithm included such stages as analysis of publications within the subject of interest, presented in international and Russian databases, study of key processes of green personnel management; analysis of the advantages, main problems, and models of green management in personnel management; analysis of corporate reporting of companies for 2019–2023 in order to identify the best practices of human resource management in the context of green economy. Recommendations for improving corporate sustainability and the effectiveness of green human resource management have also been developed.

Results. The study established that modern companies actively use green human resource management. Companies solve social and economic problems of personnel management and thereby ensure corporate sustainability and increase operational efficiency in the context of green economy. A model of green human resource management has been developed, that enables to achieve various levels of personnel involvement in the environmental agenda using a number of tools. The key processes of the companies’ activities were analyzed, and the results were used to reveal advantages of green management and related problems in personnel management. The limiting factors included employee resistance to changes, financial constraints and lack of experience in human resource management under green economy. A range of new issues was proposed in order to continue the study in the future.

Conclusions. The results obtained contribute to the theoretical development of personnel management issues and future research in the context of the subject under consideration, as well as the practical use of the best practices of green human resource management in modern companies.

Aim. The work aimed to create a comprehensive method aimed at assessing and increasing the current level of digital maturity of the management system in the company.

Objectives. The work seeks to develop a method and recommendations for increasing the digital maturity of the management system as part of project technologies, organizational processes and personnel training programs, as well as analyze the company’s activities in the context of using project management methods and principles.

Methods. The author applied a systems approach, comparative analysis, deductive and inductive approaches, as well as methods for assessing the company maturity level, indicating its readiness and ability to use project management principles to achieve goals.

Results. In order to draw reliable conclusions and develop an effective project management strategy for a company, a comprehensive methodology is proposed, which includes criteria for determining the level of digital maturity, including project technologies, organizational processes, personnel training programs, and the integration of project thinking into the company’s daily activities. This method has been repeatedly used during expedited audit of project activities of various companies.

Conclusions. The recommendations developed and implemented using the proposed method ensure a comprehensive improvement of the company’s project management system in technical, organizational and qualification aspects. This improves the quality of successfully implemented projects, increases their number, and creates the grounds for sustainable growth and strengthening the company’s competitive advantages in the market.

Aim. The work aimed to develop a methodology and tools for optimizing order management at mechanical engineering enterprises in the context of single-item and small batch production, aimed at increasing internal cooperation and reducing time expenditures.

Objectives. The work seeks to conduct an analysis of the problems of coordination of departments and production processes; study the approaches to order management, including digitalization and the use of ERP/MRP systems; develop a model for integrating digital technologies and graph-matrix methods to optimize the interaction of departments; assess the impact of key departments on deviations in timing of order fulfillment; propose solutions for the implementation of digital platforms and the adaptation of Agile approaches.

Methods. The study is based on graph-matrix analysis, regression and correlation statistics, as well as the integration of digital solutions, namely ERP/MRP systems, BI analytics, CRM and Agile methods. Interviews, surveys, and analysis of real data from a machine-building enterprise with a single type of production were used.

Results. Key departments influencing order timing were identified. The effectiveness of graphmatrix analysis for identifying bottlenecks in the production process was confirmed. A model for integrating BI analytics with an ERP system was proposed, allowing for prompt change management and reducing timing of orders. The Agile methods were implemented and proved the applicability in the machine-building environment.

Conclusions. An integrated approach that includes digitalization, graph-matrix analysis and adaptive resource management increases significantly the efficiency of order management. The model ensures the process transparency, reduced production delays, and enhanced internal cooperation. The practical application of the developed solutions can be applied at machinebuilding enterprises to strengthen their competitiveness under digital transformation and market uncertainty.

Aim. The work aimed to assess the impact of dollarization on the economic stability of Ecuador, as well as propose measures to improve the economic resilience, taking into account the problems identified.

Objectives. The work seeks to analyze the dynamics of macroeconomic indicators of Ecuador since the introduction of dollarization (2000–2024), to reveal the relationship between the level of external debt, trade balance, reserves and economic growth; to assess the impact of dollarization on employment and social development; to develop recommendations for improving economic policy and reducing dependence on external factors.

Methods. The study is based on the analysis of statistical data from the Central Bank of Ecuador, the World Bank and other international financial organizations. The work employed the methods of econometric analysis, comparative research and correlation analysis to identify patterns in changes in macroeconomic indicators.

Results. Dollarization ensured the curbing of inflation and the exchange rate stability, but induced an increase in external debt and dependence on global financial markets. Ecuador’s trade balance remains deficit-plagued despite export growth, indicating a lack of competitiveness of the national economy. Unemployment has decreased since dollarization, but remains volatile, especially during crises (e.g.  2020). International reserve assets have increased, however their dynamics depend on oil price fluctuations, which increases the economy vulnerability.

Conclusions. Dollarization has partially stabilized the economy, but has limited the scope of monetary policy regulation. Economic policy should be complemented with social measures aimed at reducing unemployment and improving the standard of living of the population.

Aim. The work aimed to improve the methods for assessing the efficiency and reliability of suppliers, which can be used to create a sustainable development indicator.

Objectives. The work seeks to analyze the theory and practice in the field of assessing the efficiency and reliability of suppliers in terms of applicability in the nuclear industry; to specify the existing methods for assessing the efficiency and reliability of suppliers, given additional factors; to formulate criteria for determining the customer’s sustainable development indicator and to propose an extended matrix of control levels applied depending on the supplier’s efficiency and reliability level.

Methods. The author used a comparative and logical analysis of supplier assessment methods described by Russian and international researchers. The work employed the systematization and generalization of the proposed methodology, as well as the formalization method. This study is based on publications of Russian and international authors, as well as standards and materials of the ITER International Organization (International Thermonuclear Experimental Reactor).

Results. Improved methods for assessing the efficiency and reliability of suppliers have been developed, taking into account many factors, such as product quality, transportation conditions, audit and control results, the level of interaction with the supplier, as well as the supplier’s experience and recognition in the industry, financial and business aspects, the maturity level of the supplier’s sustainable development agenda, the scale of a project or contract in the scope of the supplier’s general contractual obligations and the dynamics of changes in the efficiency and reliability level. Criteria for determining the customer’s sustainable development indicator have been formed. The work proposes an extended matrix of control levels, which functions as a tool of the sustainable development mechanism and is applied depending on the supplier’s efficiency and reliability level.

Conclusions. The assessment methods presented in the paper can be applied for a more comprehensive analysis of the activities of existing suppliers and forecasts regarding their impact on the customer’s activities. The sustainable development indicator developed on its basis can be used to assess the level of sustainable development maturity in nuclear industry organizations and the ESG rating of the State Atomic Energy Corporation Rosatom (hereinafter referred to as the State Corporation Rosatom).

Aim. The work aimed to develop an approach to assessing the impact of the implemented innovation policy on the indicators of digital transformation and the innovation climate in Arab countries, especially developing ones. Objectives. The work seeks to analyze the problems faced by Arab countries, especially developing ones, in the formation and development of innovation policy; to determine the key indicators of digital transformation and innovation climate; to create assessments of the impact of innovation policy on the indicators identified.

Methods. The study was based on the descriptive and comparative approaches used in the analysis, as well as on the quantitative statistical approach (calculation of the effect size) used to compare the impact of innovation strategies, policies and programs on digital transformation indicators relative to groups of developed countries and countries in the early stages of generating the innovation policy and strategy.

Results. The study revealed that the elements of innovation policy have a significant impact on the indicators of digital transformation and innovation climate in countries. The effect size between these groups of developed and developing Arab countries is large. Three realistic options for forming innovation policy were proposed in order to level out this effect, and their expected results for developing Arab countries were determined.

Conclusions. High income developed Arab countries implementing innovation policies have proven their ability to accept the digital transformation of the economy and achieve high indicators in the values of global strategic innovation indicators. Developing Arab countries have the opportunity to improve the innovation climate, economic and social conditions, increase the level of international and regional competitiveness, using the elements of the developed scheme for creating the innovation policy in accordance with the possibilities. Based on the study results, policymakers are invited to review and refine the strategies and programs being implemented, as well as to attempt to introduce innovative measures to accelerate the process of digital transformation and create a highly competitive innovation climate.

Aim. The work aimed to modify the methodology of the inter-industry process of CRISP-DM data mining for the field of logistics and maintenance support (hereinafter referred to as LMS) based on the concept of data as a strategic asset in terms of providing digital transformation projects with relevant data and improved performance indicators.

Objectives. The work seeks to study the evolution of the concept of data as a strategic asset and determine their significance in the context of digital transformation; to assess the impact of data quality on the efficiency of production processes in terms of the functioning of information systems in the field of logistics and maintenance support; to project and adapt the stages of the CRISP-DM methodology for application in logistics and maintenance support processes; to develop an additional specialized stage of the CRISP-DM methodology “Adaptation to data management in the field of logistics and maintenance support” for its application in logistics and maintenance processes.

Methods. The study is based on the integrated application of scientific methods of cognition. A systems approach was used for a holistic analysis of digital transformation processes and the place of data in them. A comparative analysis was conducted when assessing data management practices. The modeling method provided a scientific justification for projecting the stages and modifying the CRISP-DM methodology for the logistics and maintenance processes. Statistical methods were used to process and interpret quantitative data from industry reports, and the case method was applied to draw practical conclusions from the experience of implementing the information systems and data management practices.

This article information base was compiled of scientific publications of Russian scientists in the field of digital transformation, as well as analytical reports and studies of international consulting companies (McKinsey, Deloitte, Ernst & Young, Gartner), and materials from leading Russian IT companies.

Results. The work revealed the data evolutionary transformation into a strategic asset of an enterprise, and identified its role as a key factor in competitiveness in the context of digital transformation. The main components of the concept of “data quality” were determined, and the impact of data quality on information systems and related production processes in the field of logistics and maintenance support was demonstrated. The applicability of the CRISP-DM methodology was considered, as well as an adapted and expanded interpretation of the stages for logistics and maintenance processes was proposed. The CRISP-DM methodology was modified in terms of introducing an additional stage “Adaptation to data management in the field of logistics and maintenance support”, aimed at increasing the sustainability and adaptability of supply chains based on data analysis.

Conclusions. Data is a strategic asset that affects significantly the efficiency of logistics and maintenance processes. The standard CRISP-DM methodology requires adaptation to take into account the specifics of logistics. The proposed modification of the methodology in the context of expanding the functionality of the current stages and introducing an additional stage “Adaptation to data management in the field of logistics and maintenance support” ensures the availability and processing of data relevant to the industry. This increases the value of data management projects in relation to business goals.