This research aims to substantiate the impact of using open innovation (OI) in the energy sector in readiness to implement artificial intelligence (AI) technologies and their effectiveness. The empirical method was proposed to determine the readiness level of OI for the implementation of AI technologies by comparing Russian and French energy companies. Readiness level indicators of companies for AI implementation using the Fibonacci sequence, Student’s t-test, and the method of fuzzy sets were empirically determined. The integrated readiness indicator for AI implementation by companies was calculated using the method of fuzzy sets and expressed through variance, allowing for these significant factors. Russian companies are at a low level of developmental readiness to implement AI, which is in contrast to companies operating in a developed market where the determining factor is the AI technology cost. The example of the innovative business model “Energy-as-a-Service” shows the synergistic effects of OI use and AI technology introduction. This paper is novel because it seeks to contribute to the current debate in the literature, justifying the position that energy companies that have in the past actively applied the concept of open innovation in business, are the most competitive and most efficient in implementing AI technologies.

Education is an important part of life that helps people improve their socio-economic conditions. However, unequal resource allocation affects education efficiency and quality in urban and rural areas. In this regard, this research aimed to study the implementation of integration and cooperation models amongst educational institutions to improve the quality and efficiency of education in the rural areas of Russia and Indonesia. The study has used primary data collection based on a questionnaire to accomplish its goals. Different factors such as the working environment, vocational education, financial incentives, integrated curriculum, and webbed network system are examined. The results show that an integrated curriculum and webbed network system are the most critical factors for enhancing education quality and efficiency in the educational institutes of rural Russia and Indonesia.

This study aims to develop a methodical approach to optimize the structure of teaching techniques and approaches to distance education, as exemplified by Russian universities, to enhance students’ professional competencies. A pedagogical experiment was conducted with the participation of 746 second to fourth year students majoring in engineering at the Ural Federal University in Russia. The coefficients for the relative importance of professional competencies were obtained through expert assessment. The number of experts was 40 faculty members with teaching experience of more than five years. The pedagogical experiment revealed the regularities of the influence of the forms of distance learning on the formation of students’ professional competency levels. The values of students’ developmental competency levels have been determined. Non-linear regression models have been developed based on the values of the integral level of professional competencies and the percentage of distance-learning forms in the number of instructional hours. The proposed methodological approach will be useful for university professors and teachers in identifying the most effective forms of distance learning and in differentiating teaching methods not only in the context of the general pandemic but also in the natural conditions of the educational process.

The aim of this article was to develop scientific activity in Russian universities. Using the survey method, a sample of quantitative indicators of research output for the years 2011–2019 was formed. The respondents were comprised of 934 lecturers from 13 universities in Russia with different work experience, academic degrees, and indicators of scientific activity. The main components method was used to study the structure of scientific activity productivity indicators. Using the method of additive convolution, a five-factor integral model of the structure of scientific activity of a teacher was formed to evaluate the individual and collective productivity of scientific activity. The factor values and the integral indicator of scientific activity output were calculated, showing that the individual growth rates of the young lecturers’ output exceeded the growth rates of the older lecturers. Destructive factors relating to the scientific activity output of the lecturers and researchers in Russian universities (divided into two groups of young scientists and senior scientists) were determined and systematized based on the level of dominant influence. The features of the influence of the factor of emotional burnout on the scientific productivity of university teachers were revealed.

One of the most important conditions for the effectiveness of science is the motivation of academic staff of universities as key and direct producers of new knowledge. The purpose of the article was to substantiate the factors of efficiency in managing the publication activity of Russian universities. The nature and density of the relationship between the number of scientific publications and the level of citation of 19 leading countries in the world, including Russia, were determined by means of statistical analysis and the method of clusters. It has been empirically proven that the priority model for the development of publication activity should be an intensive model, which aims at improving the quality of scientific publications and the level of their citation. Moreover, a survey of 1573 young scientists (under the age of 39) and 2461 senior scientists from 14 universities in Russia was conducted. It investigated the factors of effective management of the publication activity at Russian universities. The results contribute to a better understanding on how Russian universities can activate and foster the flow of high-quality publication outputs by their researchers.