The global humanitarian and economic challenges facing Russian corporate structures today require not only a rethinking of the role of public institutions in the future fate of the national economy, but also unprecedented innovative development of mechanisms for making management decisions in conditions of limited time and information. Well-known and methodologically developed approaches need transformation and development in relation to new realities. Based on the competent opinion of Russian corporate management on the current situation in the business environment, voiced at the XII All-Russian Forum «Business Management: Adaptation to Challenges and Development», requirements for the transformation of the corporate governance model have been determined. The purpose of the study was to develop the methodology proposed earlier by the authors for assessing the stakeholder value of the corporate network of the ESG activities of the corporation in terms of the influence of macro-level factors on it, in particular, economic sanctions. The following methods were used as a methodological basis: network approach, methods of logical analysis, correlation and regression analysis, comparison, graphic visualization. The methodology presented in the article was tested on the example of PJSC Norilsk Nickel and the region of its presence – the Krasnoyarsk Territory, based on data from two periods – pre-crisis (2012–2018) and including the COVID‑19 pandemic and strengthening of foreign trade sanctions (2012–2021). The results showed the sensitivity of the stakeholder value model to changes in macro conditions, which confirms the validity of the methodology for solving problems of operational management of corporate processes. The prospects for the research lie in the area of expanding the composition of stakeholder groups, developing methods for establishing operational connections between them and their assessment.

This paper examines important aspects related to the problems of forming supply chains and production volumes at forest processing enterprises. The main emphasis is on assessing the optimality of decisions made. The study focuses on enterprises that do not have their own sources of raw materials and that are seeking to find the most appropriate solution based on the planning horizon based on data on transactions carried out on the commodity exchange. The purpose of the study is to create a mathematical model that allows us to establish the optimal volume of production of goods based on the formed supply chains of raw materials from the commodity exchange, considering the share of its useful volume, the time the lots are in transit and the uncertainty associated with supply and logistics. The following research methods were proposed: mathematical modeling, theory and optimization methods. Testing the model using data from the St. Petersburg Stock Exchange and enterprises of the Primorsky Territory made it possible to determine the optimal trajectories of profit, production volume and other important indicators. The work also raises issues of planning supply chains and production volumes, analyzes regions – sources of raw materials and presents the advantages and disadvantages of the presented mathematical model. The results obtained are of interest to the top management of forestry enterprises seeking to improve the efficiency of their activities and can be the basis for assessing the rationality of commodity transactions on the Russian Commodity and Raw Materials Exchange.

Existent philosophical literature has been largely focusing on the ethical aspects and controversies of developing and using smart technologies such as AI and big data, whereas human capital and infrastructural environment as pre-existing factors have been covered by AI Ethics in a lesser extent. Most of the current research focuses on technical infrastructural aspects in the implementation of complex «smart projects», while insufficient attention is paid to the role of social capital. In order to widen the focus and to include human capital and infrastructural developments coming along with the increasing role of AI, the paper takes a novel look at philosophical underpinnings of smart cities and discusses the concept of the Russian Naukograd (literally from Russian – City of Science, or Researchers’ city, meaning a city which is developing as a community of scientists and academics) as a historical approach for smart city concept implementation. The authors apply theoretical methods of cognition (analysis, synthesis) as well as the case study approach to the Russian (Soviet) experience in forming research-driven cities in order to highlight the value of high scientific, industrial and educational capital («smart nation») as a fundamental factor for the stable long-term development of modern cities. The findings suggest that some concepts of the Russian Naukograd for example the focus on research and education are valuable and that investment in social capital (i. e., people) should stand on the same footing as investment in technology developing a smart city. In this approach the prefix «smart» may stand for «smart citizens/nations» as a pivotal framework at the initial stages of smart cities development.

The purpose of the study is to find approaches to identifying factors influencing the construction of supply chains in China’s transport and logistics systems, which is becoming especially relevant in the context of the country’s «new economy» dictated by the active development of digital technologies, e-commerce and changing consumer behavior. Based on a multidimensional analytical review of scientific sources, the classification of internal and external factors affecting supply chain management in China’s transportation and logistics systems is substantiated. The author’s configuration of these factors is proposed, taking into account regional differences, and the structure of the factor field is formed. The result of the research from a scientific point of view was an assessment of the functional effectiveness of supply chain management from the perspective of traditional factors such as natural resources, capital, labor and land, as well as transformational and transactional, including human (skills, qualifications, knowledge), scientific and technological (research, innovation, technology) and material (infrastructure, equipment, materials) factors. The theoretical significance of the study lies in the formation of a configuration of internal and external factors affecting supply chain management in China’s transport and logistics systems, taking into account regional differences. The results of the work include the development of recommendations aimed at optimizing logistics processes, diversifying risks and adapting to changing conditions in the global market.

The year 2023 marks the 10th anniversary of the initiation of the «One Belt and One Road» initiative. Belarus, as one of the countries along the One Belt and One Road, is actively responding to the initiative’s call and participating in its joint implementation. The author creatively establishes a connection and conducts a profound analysis of the China- Belarus Industrial Park and the International Land Port of Gansu (Lanzhou). The article assesses the present status and development progress of the two projects, identifying pertinent issues and proposing solutions through a methodical approach that combines theoretical analysis with practical application. A theoretical framework for these two projects is presented, aiding in surmounting challenges and charting the future trajectory of collaboration. The study’s objective is to introduce novel developmental concepts for Park administrators and policymakers, while also pinpointing fresh avenues for growth within the Park development of both countries, to contribute to economic advancement more effectively.

The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.

The research is devoted to analysing the woodworking industry from the point of view of using modern digital technologies at its enterprises. The relevance of this work is due to the fact that the timber industry is an important sector of the Russian economy, and the solution of such a task as determining the level of digital transformation (DT) of one of its industries will help identify problem areas and potential opportunities for improving production processes and introducing innovations. The methodological basis was the use of private and universal scientific methods such as analysis, synthesis, comparison, observation, ranking, and expert judgement. The authors of the study studied the activities of foreign and domestic timber processing companies, presented two options for calculating the level of their DT – both by quantifying the level of digitalisation of business processes and the scale of the company, and by analysing the effect of project implementation and the complexity of the technologies used, and found that the results obtained in both cases coincide. In the course of the work, three approaches to digital transformation were considered and it was concluded that its level not only in Russian, but also in foreign companies in the woodworking industry is average. The practical significance of the research consists in the development of recommendations and creation of a methodology for assessing the digital transformation of woodworking industry enterprises, which the latter can use when preparing for changes in the business model and the introduction of new technologies.

The purpose of the study is to analyze the Russian construction market and the prospects for its development in the context of large contracting companies, as well as to determine contractor competitiveness and the place of the largest domestic construction companies in the world ranking. Comparison, analysis, as well as graphical, tabular methods of data presentation and visualization were used as research methods. The paper presents an analysis and characteristics of the Russian and world construction market, its dynamics, structure and key players. The main trends and drivers of the construction industry are described. The volume of construction is growing every year, despite the economic and political crises of past five years. This fact indicates a high demand for construction products. The article considers the main players in the Russian and foreign markets. The leading positions in terms of construction volumes are occupied by such countries as China, the USA, Japan and the EU, while the Russian Federation lags behind in terms of construction production volume. Only four construction companies in the world have a turnover of more than $ 100 billion, while maintaining a significant lead over other players. Whereas the development of the global construction market is associated with population dynamics, an influx of investments in the Asian region is expected, which in turn will contribute to the development of technologies and the introduction of innovations in the field of construction management. The study revealed a direct correlation and relationship between the competitiveness of construction companies and internationalization. Despite the increasing interest of Russian developers in foreign projects, at the moment the expansion trend of Russian construction companies is just beginning to take shape. It is concluded that in order to increase the competitiveness of Russian construction companies in the world market, the efficiency of project management and cost optimization, it is necessary to introduce an effective system of projects cost accounting and control.