The development of innovation at a regional level in a transition economy is characterised by complex multidirectional processes of generating and commercialising innovation, indicating the need for systematic research and rethinking of the existing methods of managing such territorial entities to stimulate innovation. For the successful introduction and implementation of innovative solutions, the deployment of appropriate amounts of intellectual, material and financial resources as well as their concentration in space and time is important. This article aims to develop a model for assessing the effectiveness of regional innovation systems (RISs) during the shift from the transition economy to the market economy. The authors developed a two-stage data envelopment analysis (DEA) model connected with patent activities and the output of innovative goods and services. The model’s application made it possible to build maps describing the rating of regions concerning the performance indicator and to identify the availability of unutilised resources. For example, we identified efficient and inefficient regions in terms of producing innovative products, which is especially important for developing additional measures for developing the institutional environment of regions with considerable resources but very low utilisation efficiency. The data obtained will allow for more effective management of the structural elements of RISs as well as the detection of changes in the dynamics of key development indicators by identifying the size of efficiency reserves and the causes of their occurrence at the individual subject level.

The construction industry is high-tech and is one of the key areas for the strategic development of regions in terms of their digitalization. The construction complex provides regions with infrastructure of various levels from design documentation to commissioning, as well as reconstruction and major repairs of buildings. The article adopts an isolated regional approach, which is due to the need to assess specific territories by the level of readiness for digitalization of the construction complex. The purpose of the research is to determine the level of readiness of Russian regions for the digitalization of the construction complex by forming a rating of regions according to the indicator “the level of readiness of the region for digitalization of the construction complex”. To build the rating, the fuzzy sets method was applied using a triangular membership function, which allows to describe the influence of various processes on the formation of digitalization processes in the construction complex of the region. When forming the rating, a scale of fuzzy variable values is set which allows one to classify regions by levels, namely very low, low, medium, high, and very high. The generated rating is illustrated according to the specified scale. Based on the rating, the leading regions and outsider regions are identified by the formed indicator. It was determined that Moscow and Saint Petersburg are highly prepared for the digitalization of their construction complexes, and 53 regions of Russia are potentially prepared. In the future, it will be possible to create a rating of Russian regions on the level of readiness for digitalization of the construction complex with a two-year lag. Then, using the DEA shell analysis method, a quantitative assessment will be carried out that allows you to form performance boundaries and, against the background of four years, adjust the data to identify the most realistic picture. Also, the rating methodology considered by the authors allows us to scale this research to the international level, which will allow us to assess the level of digital development of construction complexes in other countries. The proposed rating algorithm is suitable for other sectors and complexes of the economy. It is enough to determine the main aggregate indicator and select groups of factors.

The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted from a recruitment website and employed a social network analysis method to identify skill clusters. Findings suggest that the DAP consists of predominately hard skills, that is, specialists must have the technical skills required to collect and process information. These results could be used to develop a Higher Education curriculum in data analysis.

Subject. The article considers development trends in the oil and gas market of the Russian Federation. Objectives. The purpose is to assess current trends and behavior of the Russian oil and gas market. Methods. The study employs methods of analysis and synthesis of statistical data that describe development trends in the oil and gas industry in Russia and in other countries of the world, its importance and role in the economic system of Russia, its market structure and the level of innovative development. Results. We offer a scheme, illustrating the position of the oil and gas industry in the structure of the fuel and energy complex of Russia, consider the analytical reports of leading organizations in the industry. The latter enable to conclude on changes in the structure of fuel and energy consumption. We also identify development trends in the global fuel and energy complex and analyze the behavior of the share of oil and gas revenues in the formation of the tax burden, for the period, starting from 2012. Conclusions. Most technological innovations are carried out by organizations, producing electrical, electronic and optical equipment. The least innovative activity is observed in the field of mining. We substantiate the need to introduce and develop innovations in the fuel and energy complex, in connection with trends in intensification of various changes, occurring in the external environment (technologies, markets, society, regulatory policy of the State), increased competition in established markets, complexity of technological processes.

The objective of the work is to reveal and analyze the processes and changes in the formation of the national sovereign education system, including to consider the development and implementation of new models of university development management in a critical period for the education sector using methods of analysis and generalization. Main results: taking into account innovative processes in higher education, the functions of third–generation universities that receive their development or changed essential content in new political, demographic and economic conditions are clarified and described; elements and mechanisms for improving the effectiveness of human resources are described. On the basis of the research, the authors reasonably summarize the changing role and importance of additional vocational education to support national technological sovereignty on the basis of the updated personnel policy of universities. The material is aimed at specialists in the field of higher education and employers from among science–intensive and high–tech companies of large and medium–sized businesses.