Decree of the President of Russia No. 1014 has identified ‘digital maturity of state and municipal management’ as one of the key indicators of the effectiveness of senior officials in the subjects of the Russian Federation. A unified assessment of digital maturity is particularly critical at the level of regional authorities. The purpose of this study is to develop a framework for assessing the levels of digital maturity within regional governance. The study employed the method of systemic logical analysis and the structural-functional approach to examine regional management teams and the functions of regional managers. The information base for the study comprises articles indexed in the global ScienceDirect database and the national eLIBRARY database, using search keywords such as ‘levels of digital maturity of regional authorities.’ As a result of the research, a typology of six levels of digital maturity in regional governance has been proposed: absence, existence, application, utilization of digital technologies, replacement of managerial functions with digital technologies, and autonomous regional governance without human involvement. The study demonstrates the feasibility of conducting an objective analysis of digital maturity by evaluating the proportion of management decisions based on digital technologies. Furthermore, the article examines the evolving role of regional leaders in the decision-making process through the integration of digital technologies, transitioning from decision-making without considering digitalization to becoming architects of digital processes and technologies. The study also highlights that the determination of digital maturity levels in regional government bodies can be achieved through the method of transactional tomography. The findings contribute to the theoretical foundation for assessing the digitalization processes within territorial governance structures.

This paper explores the systemic relationship between the development of science, innovation, technological efficiency in the economy, and investment. The study aims to structurally analyse the impact of innovator and conservative models on industrial development and the formulation of economic policy strategies. The methodology adopts a neo-Schumpeterian approach to economic development, structural analysis, theories of industrial development, and empirical estimations. The research utilises data from the Russian statistical agency Rosstat, the World Bank, and the author’s prior scientific findings. The study demonstrates that innovators and conservatives, as two types of agents driving scientific and technological progress, exhibit distinct behavioural models. These models depend on the nature of the innovation and the mode of technological development, which are characterised by the principles of ‘creative destruction’ and ‘combinatorial growth.’ Similarly, the types of industrialisation policies are shaped by the dominance of one principle over the other. Furthermore, investment strategies for stimulating new technologies vary significantly across these modes. The results reveal that overall technological capability shows low sensitivity to investments in new technologies. This finding underscores the need for increased resources –  not only financial but also labour and capital. Additionally, reducing development risks through state-led investments and potential insurance schemes is crucial for addressing the challenges of new industrialisation. This approach provides valuable insights for promoting R&D and integrating domestic patents into production processes.

In today’s infocommunication and digital world, the value of knowledge has become as important as the cost of innovative products or services. Knowledge itself is now a commodity in the era of the knowledge economy. Accurately determining the cost of knowledge has emerged as a critical area of research for both science and business. This study aims to identify the distinctive features of the knowledge economy era and to mathematically formalize the cost of knowledge. The research employs a systematic analysis of scientific knowledge in the field of the knowledge economy. The results include a methodology for calculating the maximum cost of knowledge, which depends on several factors: the size of a realistic achievable market segment (SAM – Serviceable Available Market); the prevalence of knowledge in society’s educational sphere; the level of understanding required by the user; changes in the comfort of human life; the innovativeness of knowledge; and the speed at which new innovative knowledge is created. The study also explores the impact of infocommunication knowledge networks on production sustainability. It demonstrates that the growing importance of knowledge in national and global economies represents a new innovative revolution, driven by computer technology, digital infrastructure, and highly skilled labour. The key conclusion is that effective knowledge management and the development of infocommunication knowledge networks are essential strategies for the successful growth of modern companies.

This paper examines how state-owned enterprises are involved in the implementation of the state innovation policy. The research method is a comparative analysis of statistical data on innovation activity of Russian organizations of private ownership and organizations in which the state acts as one of the owners. The research period is 2019–2023. The results of the study show that state-owned enterprises are characterized by higher indicators of innovative activity of organizations: they innovate more often, the average expenses for innovative activity exceed the same indicator of private organizations several times (4.3 times by the end of 2023), the share of innovative goods, works and services in the total volume of delivered goods and rendered works and services of state-owned enterprises. The high potential of state-owned enterprises in the creation and coordination of innovation systems is noted. The factors that reduce the efficiency of state joint-stock companies as subjects of implementation of the state innovation policy are noted: “Conflict of state goals”, which leads to withdrawal of resources and restraint of expenditures on R&D and innovation, as well as information closure, which contributes to the increase of a number of risks.

Socio-economic growth relies heavily on the development of intellectual capital, which drives innovative transformations in society. However, modern social realities pose significant risks, including the decline of intellectual capital and the rise of humanitarian and psychological threats. In Russia, addressing negative demographic and migration trends has become a critical challenge. These trends include declining birth rates, rising mortality, an aging population, ongoing natural population decline, uneven population distribution across the country, and significant disparities in living conditions between regions. This study highlights the urgent need to address these issues, as Russia is losing highly qualified specialists due to its current demographic situation and uncontrolled labour migration. These specialists play a crucial role in building a high-quality human potential structure. The article aims to demonstrate the necessity of activating policies for demographic growth and regulating migration processes to strengthen the state’s economic power. The study identifies unfavourable demographic and migration trends in Russia, which are causing destructive processes in the development of intellectual resources and threatening the nation’s technological sovereignty.