The Russian Federation is characterized by an extremely uneven distribution of the population across the country, which contributes to the asymmetry of economic and socio-demographic development of the regions, a shortage of qualified specialists for the development of the resources of Siberia and the Far East, and an increase in global risks in general.  In this regard, the use of modern management technologies, in particular, multi-agent simulation modeling, to support decision-making on managing migration processes becomes relevant. Since the main incentive for active citizens to change their place of residence is investing in the development of the region and providing the necessary conditions for a comfortable life, the purpose of the study is to develop an agent-based model for forecasting the impact of the population life quality on migration flows between the federal districts of the Russian Federation. One of the tasks solved using the model is to track the direction of migrant movement relative to the Republic of Bashkortostan when changing the controlled parameters. The simulation model was designed using modern CASE tools; UML diagrams and a mnemonic diagram of the decision-making support process for managing the demographic development of the region were built in the course of the work. Scenario experiments were conducted to predict changes in the population size in the study areas. Within the framework of the research, the authors applied the object-oriented methodology of simulation model design, agent-based approach for its implementation, as well as an agent-oriented approach for its implementation and statistical analysis methods when setting up experiments. The toolkit developed as a result of the study can be used by the representatives of executive authorities and government officials to develop a balanced resettlement policy, assess the possibility and conditions for developing regions of the Russian Federation with low population density.

The article is devoted to the problem of the organization of professional management of objects of the treasury of the Russian Federation in the light of the goals and objectives defined by the State Program “Federal Property Management” approved by the Government of the Russian Federation, in terms of securing property on the right of economic management for federal state unitary enterprises (FSUE) under the jurisdiction of the Federal Agency for State Property Management (Rosimushchestvo), in order to maintain the objects in proper condition technical condition, commercial use, reduction of facilities, not involved in economic turnover, replenishment of the federal budget. The purpose of the work is to propose ways to organize a management mechanism at the federal level aimed at using extra-budgetary mechanisms for maintaining federally owned facilities or properties and involving them in economic turnover with the involvement of commercial organisations —FGUP. The proposed ways and methods of management may allow using a more flexible mechanism for the extra-budgetary maintenance of federally owned real estate objects, their commercial use, involvement in economic turnover, with the transfer of part of the income received to the federal budget or their use for the purchase of both real estate objects for state needs based on a decision of the Government of the Russian Federation and movable property with subsequent transfer to the Treasury of the Russian Federation.

The article is devoted to the theoretical and methodological substantiation of the integrating role of digital maturity of   personnel in the processes of modern transformations of industrial enterprises. The subject of the study was the assessment of the role of company employees within the framework of the proposed balanced digital transformation (DT) model, and its purpose is to establish the relationship between the digital maturity (DM) of employees and methods of its formation, taking into account the priorities of a balanced DT. The methodological basis was the materials of works from the field of organizational institutionalism, applicable to solving the problems of managing digital transformations in industry. The results of the research, carried out using the methods of scientific analysis and synthesis, as well as processing the results of the survey and questionnaires, consist in the formation of new ideas about the model of digital transformation. The article reflects its features such as cyclical nature, the sequence of mandatory stages (formation of corporate digital culture, motivation of staff, practice-oriented mentoring, technology, data analysis and customer influence). As differences from existing approaches, the inclusion of the integrating role of digital maturity of personnel in the digital transformation (DT) processes and consideration of technologies and customer needs only after assessing the readiness of personnel in the formed digital environment is noted. The authors have formed recommendations for the practical implementation of the presented model of balanced digital transformation and the conduct of appropriate survey procedures that may be of interest to specialists in this field.

The article examines the assessment of the effectiveness of communications between the Moscow Department of Transport and Development of Road Transport Infrastructure (DTRDTI) and the population in the context of implementing strategic projects. The purpose of the study is to determine the level of information transparency and accessibility of data on the department’s key initiatives for citizens. The materials and methods include the comparative and content analysis as well as statistical processing of data from DTRDTI’s official websites, publications in the media, social networks and other platforms for the period from 2018 to 2022. The methods of content analysis, comparative analysis and statistical data processing are used. The sample covers 1,520 news stories and information messages. The results show that DTRDTI actively informs Muscovites about the progress of strategic projects. Over the study period, the number of publications increased by 67%, and audience reach, and coverage increased by 84%. A special section “Strategic Projects” has been created on the official website of the department, which is updated weekly. Press conferences, briefings and meetings with journalists are regularly held. In 2022, the Moscow Transport mobile application was launched, allowing to track the work on projects and diverse activities of DTRDTI in real time. The use of VR and 3D modeling technologies for visualization of future objects is noted. At the same time, some problems were identified: uneven presentation of information on different projects, insufficient adaptation of content for perception by non-specialists, lack of versions in foreign languages. It is concluded that DTRDTI demonstrates a high level of information openness. At the same time, it is necessary to ensure a more balanced and accessible coverage of the projects being implemented for a wider audience, as well as to develop new communication channels and formats. The experience of the DTRDTI can be of value not only for the relevant agencies of other regions, but also for the scientific community. The approaches and analysis algorithms proposed in the article are applicable for media audit and optimisation of information activities of authorities of different levels.

The article examines the restructuring of global supply chains within the framework of the active development of China’s logistics services market. It is established that with the continuous improvement of the country’s digital economy, these services can become one of the important directions for the development of large Chinese companies operating in this industry. The purpose of the work is to study the implementation of integrated intelligent supply chain services, analyze the practice of their application, and their impact on the growth of turnover and income of leading logistics enterprises in the country — Xiamen C&D Group Corp. Ltd., SF Express Holding, YTO Express — in 2021–2023. The paper describes the step-by-step mechanism of the intelligent supply chains of Chinese companies and its innovative component. It is determined that the studied organizations adhere to the principle of digital excellence, promote digital industrialization, jointly create a common logistics big data platform (the country’s digital logistics ecosystem), and apply new business formats and a modern logistics model to facilitate the industrial transformation and modernization of China’s economy. To achieve the goals of the study and analyze the restructuring of global supply chains within the framework of the active development of China’s logistics services market, methods of scientific analysis of scientific literature and economic analysis of reports of leading logistics companies in China, comparative analysis, content analysis, and case studies were used to study examples of the implementation of intelligent supply chains in Xiamen C&D Group Corp. Ltd., SF Express Holding, YTO Express. The results of the research can be useful for international organizations and partners of China engaged in joint logistics projects and initiatives to enhance cooperation and coordination efforts.

In the context of digital economy business is increasingly choosing the ecosystem model of development, which leads to scientific interest in the formation of new approaches to human resource management (HRM). The role of human capital within business ecosystems is growing; both internal and external participants create its value to the organization. Many stakeholders get involved in working out HRM solutions, including managers, employees, HR specialists, ecosystem partners, suppliers and HR services providers. With a view of co-creating value and enhancing business competitiveness in the market, there comes a need for the formation of HRM ecosystems integrating necessary resources. The aim of the research is to determine the characteristic features and structural model of HRM ecosystems in the context of business digitalization. Currently, HRM ecosystems are at an early stage of formation and represent technocratic models in the form of a «marketplace» of multiple HR tools, which constitutes the risk of their overloading and turning into a “patchwork” of digital technologies. The emerging transition towards human-centric HRM ecosystems shifts the focus from technologies to strategic business goals and people’s well-being in the working place. The scientific result of the research is the identification of technocratic and human-centric HRM ecosystems distinctive features as well as the suggestion of a structural model-in transit, comprising humanitarian and technological components. Within the research, there were used general scientific methods of comparison, analysis, generalization, as well as scientific interpretation of the authors’ theoretical and practical experience. The research outcomes may be of interest to scientific and business communities in terms of developing the methodology of the ecosystem approach to HRM in the context of business digitalization.

The purpose of this study is to create a method for managing the productivity of employees of a commercial organization and assess its potential effectiveness through theoretical modeling of the result. The principle of the method is based on the iterative redistribution or reallocation of the employees among the company’s departments or structural units taking into account the current and potential changes in order to increase their labor productivity. Modelling analysis was performed using the retrospective data of the commercial organization — the period under consideration was equal to   39 months. The calculation assessed the dependence of changes on two indicators that noticeably affect the results: the number of cities where the company is present and the number of positions available in the company; it also determined the likely effect of the increase in labour productivity of employees when using the method. The influence of quantity of job positions and cities where company operates on the final result was also determined. The modeling carried out allows to draw a conclusion about the potential effectiveness of this approach, especially for organizations with one or in the same location and/or employing a large number of people performing similar functions, as it does not require significant financial outlays. The content and the results of the work presented in the article will be of interest to both HR practitioners and representatives of the scientific sphere.

The article is devoted to a comparative analysis of existing opportunities and directions for evaluating the effectiveness  of organizations using the resource-cost method (static model), Pareto optimality and the dynamic standard method (dynamic model). The purpose of the study was to identify the content of alternative approaches and models used by consulting companies to determine the effectiveness of organizations that produce and sell goods and services. The methodology described in the article is based on neoclassical economic theory. In the course of the work, a conceptual analysis of significant scientific alternatives to static and dynamic models for assessing economic efficiency was carried out. Any of them (or a combination of them), as established by the authors of the study, can be equally applied in the activities of all economic entities, including consulting companies. The results obtained include the definition of a set of  methodological tools within the framework of the resource-cost method, the Paretian optimum and the dynamic standard  method; substantiation of the equivalence and mutual complementarity of scientific model alternatives to efficiency, the interaction of the process and the result of efficiency assessment based on the principle of complementarity; evaluation  of the organization’s activities in a static efficiency model as an example of the implementation of the principle of  complementarity. The results of the study can be applied both in the practice of management consulting and regular management of the organization.

The purpose of this research is to evaluate the effects that empowerment has on the sharing of information and cooperation in an effective project management setting. The purpose of this study is to investigate the direct impacts of empowerment, which will be evaluated based on autonomy and responsibility, on efficiency of cooperation between members of a team, the sharing of information, and the accomplishment of the project. A total of 228 Pakistani project managers were surveyed via the use of questionnaires, and the results were analyzed through the use of SPSS 25.0 and SMART software PLS 4. The findings demonstrated that empowerment has a beneficial impact on the cooperation and information sharing that occurs between team member exchanges and other project teams, which in turn has a favorable influence on the success of the project. While the responsibility of collaborators reflects positively in cooperation and information sharing, the autonomy that is assigned to the exchanges that take place between members of the project team encourages the sharing of knowledge and facilitates the success of the project. Not only do these findings help to the enhancement of theoretical understanding about project management, but they also enhance the practice of project team management. There is an increase in the likelihood of the project being successful as a result of their guidance to project managers on the delegation of autonomy and responsibility to team member exchanges. The research makes a contribution to the cultivation of improved project management techniques and highlights the significance of leadership abilities in the accomplishment of successful project outcomes.

Hyperlocal marketing is a modern format of interacting with customers in the offline segment of retail and services, aimed at increasing sales by optimising strategies for promoting specific products. In conditions of market saturation, traditional marketing methods become less effective, so the use of new approaches allows companies to attract customers on a point-to-point basis and adapt their offers to specific locations and audience needs. Over the past decade, interest in hyperlocal marketing as a business development tool has grown in Russia, and at the same time it has become almost entirely expressed exclusively in practical terms. Its scientific implementation has not yet been recorded. The purpose of this study is to systematise the existing concepts and technologies in the field of hyperlocal marketing in order to identify its current state and prospects for development. Within the framework of the defined vector, both the technological prerequisites and requirements of this tool for ensuring the basic process in the field of offline retailing are considered, and an empirical basis for the inductive-deductive analysis of the subject field for the formation of patterns of consumer behaviour management and optimisation of the marketing policy of business agents is formed. In the course of the work, it was found that hyperlocal marketing in retail is highly dependent on the development of the Internet of Things (IoT). The use of such technologies can improve customer interaction, increase service levels and predict consumer behaviour patterns. Based on the considered instrumental and technological solutions discussed above, companies are able to create personalised marketing strategies and optimise business processes to maximise profits.