The aim of this study was to justify the factors influencing the interaction between government authorities and the public in the field of urban transport within the framework of the “Strategy for the Development of the Transport System of Moscow and the Moscow Region until 2035.” To achieve this, it was necessary to address tasks such as assessing the current level of such interaction and identifying priority tools for its implementation. The article presents an analysis of the dynamics of passenger traffic in Moscow’s urban transport and shows its structure (by mode of transport). A classification of factors is proposed based on the following criteria: financial; accessibility, comfort, and convenience; digitalization; travel speed; transport safety; social and environmental factors; level of infrastructure development; and organizational and regulatory factors. The study employed both general scientific methods — analysis, synthesis, comparison — and applied research methods, including public surveys and statistical processing through correlation analysis. Based on sociological surveys of the megacity’s residents on the topic of transport sector development, the study identified priority tasks and directions for its improvement. The results allow for the justification of development scenarios for the urban agglomeration’s transport system, taking into account public opinion. These data can be used to improve the monitoring system for both urban management and municipal governance.

This article addresses the pressing issue of improving the system for evaluating the efficiency and performance of civil servants within the context of public administration development and enhancing the quality of public services. The aim of the study is to develop proposals for modernizing the existing evaluation system for civil servants based on a fundamental analysis of theoretical approaches, domestic practices, and international experience. The work presents a comprehensive analysis of both the key categories and approaches used in this field, as well as the current regulatory and legal framework. The current state of Russia’s civil servant evaluation system is examined, revealing key issues such as procedural formalism, subjectivity, weak connection with HR processes, insufficient evaluator competence, and underdeveloped information and analytical systems. Advanced international practices in civil servant evaluation are reviewed, including those in the United States, the United Kingdom, Germany, France, and Canada. The article proposes main directions for improvement: the implementation of results-based management using key performance indicators (KPIs); the development of a competency-based approach; digitalization of evaluation procedures; and strengthening the link between evaluation outcomes and motivation mechanisms. The study’s methodology is grounded in scientific methods such as analysis and synthesis. The results can be used in the modernization of the civil servant evaluation system, as well as in the development of legal and methodological documents in this field.

This paper examines the system that integrates two types of planning: strategic (long-term goals) and budgetary (resource allocation). The aim of the study is to identify existing challenges and propose solutions for effectively coordinating these two planning types, based on an analysis of the evolution of state planning in the Russian Federation from 1991 to 2024. The research methodology includes systems analysis, evaluation of regulatory documents, and expert data, drawing on the concepts of program-targeted management and digital transformation. The empirical basis consists of reports from the Accounts Chamber of the Russian Federation, PEFA instruments, and IMF recommendations on the digitalization of public financial management. The results show that, despite the reforms implemented between 2004 and 2021, misalignment between strategic and budgetary indicators persists, along with departmental fragmentation, vulnerability to external shocks, digital threats, regulatory inconsistencies, and a shortage of qualified personnel. To address these imbalances, the author proposes improving indicator development through multi-level KPIs supported by machine learning and blockchain; establishing an interdepartmental scenario modeling platform based on artificial intelligence; implementing adaptive budgeting; and unifying the regulatory framework through a State Planning Code. The findings highlight that successful modernization depends on the synchronized development of technology, institutions, and human capital. However, even with the implementation of the proposed measures, complete resolution of the issues is unlikely due to systemic inertia and external risks. The paper emphasizes the need for a comprehensive approach that combines digitalization, regulatory reform, and the strengthening of data-driven governance. Solving the identified problems also requires overcoming structural imbalances and investing in institutional capacity-building, particularly under conditions of ongoing uncertainty. The study is intended for government program developers, digital architects in the public sector, and institutional reform experts seeking to bridge the gap between long-term strategies and budgetary realities through the integration of advanced technologies (AI, blockchain) and adaptive management practices.

This article examines the application of lean thinking approaches in public administration. The relevance of this issue is driven by the state’s need to reduce the costs of both regulation itself and decision-making, a goal that is conceptualized in the Unified Plan for Achieving the National Development Goals of the Russian Federation until 2030 and beyond, up to 2036. The purpose of the paper is to substantiate the prospects of introducing lean regulation in public administration in Russia in the medium term. The research addressed several tasks, including a methodological comparison of approaches to collective regulation; defining the concept of lean regulation; and describing the effects of its implementation in public administration, with a focus on organizations in the financial sector. The authors employed a methodology based on theories of collective decision-making, lean management, public-private governance, and new public management. The information base included documents and data from legal reference systems and the official website of the Bank of Russia. The study outlines the future potential of applying the proposed approach. The results may be useful both to government authorities and the management of the Bank of Russia in their operations, as well as to researchers in the field of public administration as a theoretical foundation for applied work. Applying the principles and tools of lean regulation, as proposed by the authors, in public administration practice will improve the effectiveness of managerial decisions while taking into account the specific characteristics of individual sectors.

The article examines the conceptual apparatus of business reputation and analyzes its key features in the field of social entrepreneurship. Particular attention is paid to the role of business reputation in strengthening ties between social entrepreneurship entities and society, as well as its importance in drawing attention to social problems. The purpose of the study was to form the author’s definition of business reputation in the context of the theory of social change, facilitating the implementation of new approaches to its assessment and management. The research methods were the analysis and systematization of scientific literature on business reputation and social entrepreneurship; content analysis of publications devoted to social change, as well as data visualization to present the evolution of theories and approaches. The authors of the article describe tools that allow social entrepreneurs to effectively use reputation to promote their initiatives and achieve goals. Despite the high interest in this topic, the scientific literature does not offer a sufficient number of works that consider the evolution of approaches to the assessment and management of business reputation in the context of social entrepreneurship, as well as its role in social change. The results of the study may be useful both for managers of organizations whose activities are related to the social sphere, to raise awareness of the importance of business reputation and its role in achieving social change, and for researchers studying business reputation issues, as materials for further professional research.

This study explores methods for enhancing the efficiency of the Federal Treasury’s collateral operations aimed at managing the liquidity of the Single Treasury Account (STA). The research examines instruments such as repurchase agreements (REPO), securities lending, and clearing participation certificates (CPCs). Special attention is given to recent innovations, including exchange-traded REPO with a central counterparty, as well as mechanisms for risk minimization and yield enhancement. The author analyzes the advantages and drawbacks of using CPCs, emphasizing their flexibility and potential to expand the collateral base. Based on the findings, the paper offers recommendations for further development of liquidity management tools, including the introduction of a “conditional zero” mechanism and the reintroduction of a specialized CPC asset pool. The results may be useful for government financial authorities responsible for budget liquidity management, financial market participants engaged in REPO and CPC operations, and the broader academic community studying modern approaches to public finance management.

The relevance of this study stems from significant changes in the role of the state in addressing crises, which have occurred with increasing frequency since 2008 — the year of the global financial and economic crisis — particularly in the Russian Federation. The variety of definitions for the term “government financial regulation” found in both domestic and foreign sources has led to a number of theoretical contradictions, hindering the development of this field of study. The aim of this paper is to refine the definition of the concept and to develop a classification of its forms, methods, and instruments. The research applies methods of analysis and synthesis of academic literature, regulatory acts, and mediumterm financial planning documents of the Russian Ministry of Finance. The author clarifies the concepts of “finance” and “government financial regulation”, distinguishes between financial regulation and fiscal, tax, customs-tariff, monetary, and broader economic policy and regulation, and proposes a classification of instruments and their corresponding forms of financial regulation — direct and indirect. A methodology for differentiating these forms and aligning them with specific areas and tools of government financial regulation is also proposed. The article includes a graphical model illustrating the distinctions between financial and economic regulation by the state. The findings can be used by practitioners to improve the efficiency of financial flow management and by researchers to enhance the effectiveness of scientific work in this domain.

The article presents the results of a study aimed at identifying the current and potential roles of digital platforms in supply chain management. The research reviews existing theoretical approaches and developments in this area, as well as analyzes case studies of successful digitalization. The authors demonstrate how the transition of digital platforms to working with Big Data sources is transforming their role in the management process. Previously, at the stage of digital reporting, there was a gap between operational logistics functional management and expert analytical work with aggregated indicators. However, new systems that provide for the processing, storage, and analysis of data, as well as the visualization of this information and the results of its analysis, make it possible to link strategic goal-setting, KPIs, and supply chain resilience management directly with data flows about functional business processes, creating a “digital twin” of the enterprise. Using structural-functional analysis and the case study method, the study examines management practices synthesizes a comprehensive approach to exploring the interrelation between technological and managerial innovations during the implementation of digital platforms. As a result, the paper proposes a model that outlines the role of digital platforms at different levels of management activity. It distinguishes between technological innovations (the development of digital platforms tailored to organizational needs) and managerial innovations (adaptive development of data-driven organizational management systems). The findings may be of interest both to academic researchers studying management challenges amid digital transformation and to practitioners conducting applied scientific and analytical studies of digital transformation outcomes in the express delivery industry and related sectors.

This article explores the formation of a unified methodological framework for data management within modern enterprises. The relevance of the topic stems from ongoing changes in economic and social structures, driven by digital transformation and the increasing importance of information as a critical resource. Data is now recognized as one of the most valuable assets in contemporary business. Companies striving not only to achieve their business objectives but also to ensure long-term, sustainable market performance face the urgent need to develop tools and workflows for managing data of varying quality and formats. The aim of this study is to examine both fundamental and forward-looking methodological aspects of data handling and to identify the key characteristics of this process. Data management — across its many forms, as discussed in the article — is conceptualized as a comprehensive system based on a digital model that supports the effective operation of businesses in the face of new technological implementations. The authors identify the structural elements of such a system and highlight the interdependence between the development of methodological approaches to data management and the broader digital transformation of companies. The research methodology includes analysis, deduction, and analogy. The findings may be of interest to both domestic and international researchers for further study in the field of enterprise data management methodology, to business professionals seeking to optimize their data management strategies, and to students and postgraduate scholars studying enterprise data management.

The objective of this study is to analyze the emerging trends in the development of sixth-generation (6G) technology, to identify the key challenges and opportunities associated with the 6G era, including changes in mobile network operators’ business models, revenue structures, and infrastructure requirements, and to assess the impact of full-scale 6G deployment on the transformation of strategic management models within mobile operators. The authors applied a comparative analysis method, examining priority development goals of 6G technology alongside statistical data on the evolution of mobile networks. The empirical basis of the research comprised analytical reports and forecasts from leading industry analysts, as well as expert interviews with representatives of Russian and international operators and research institutions specializing in 6G technology. The study’s findings include the identification and systematization of priority objectives for 6G implementation in the context of the data economy; an analysis of the evolution of services provided by mobile operators during the transition to new technologies; and the formulation of fundamental approaches to changes in operator strategies. The novelty of the approach lies in the focus on 6G technology and the task of elucidating the interconnection between the necessity to transform operators’ strategic management systems and the development and deployment of 6G. The authors also propose key recommendations for developing a transformational strategic management model for mobile operators. The practical significance of this study lies in offering scientifically grounded recommendations and tools to all stakeholders for successfully adapting to technological and economic challenges and opportunities associated with 6G network deployment, including those related to business development strategies.

This article presents the findings of a study on the development of project-based activities in the creative industries, examined as a field of mentorship in higher education. The authors emphasize that the creative industries, with their intellectual and often collaborative or project-based nature, act as a driver of the modern economy. The research employed scientific methods such as analysis, synthesis, and classification. The informational base consisted of data from the Scientific Electronic Library (NEB), materials from Google Scholar relevant to the topic, and methodological resources on mentorship within the Russian economic framework (both federal and regional levels). The aim of the study was to explore the essence of mentorship in higher education within the context of project-based activities in the creative industries and to develop tools for effective project mentoring in this domain. The outcomes of the research include a refined definition of “projectbased mentorship in higher education,” a rationale for the need to study a Russian mentorship model, identification of ten specific forms of mentorship, the creation of a conceptual framework for project mentoring in the creative industries in higher education, and the development of original initiatives to support its advancement. These results may be used to promote the Russian model of mentorship on the global stage. The findings may also be useful to university project participants, startup mentors, and creative industry professionals.

The article discusses the issues of substantiation of the system of indicators for assessing the transport and logistics potential of regional water transport. The relevance of this problem is due to the insufficient elaboration of the rationale and the absence of a comprehensive set of quantitative indicators characterizing this sector of economic activity. The objective of the study is to develop proposals for organizing a multicomponent monitoring system based on mathematical tools to accurately reflect the current state of the water transport complex, considering its development directions. Mathematical analysis was used as the primary methodological approach. The empirical foundation of the study comprises scientific works of prominent economists. The main outcome is the development of a three-component model of the transport and logistics potential of the regional water transport complex, enabling the calculation of a composite indicator — its integral assessment — which is valuable for further theoretical analysis. This model can also be used by executive authorities of Russian Federation regions for making prompt management decisions.