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Modern trends in the development of regional socio-economic systems are associated with the rapid growth in the popularity of digital technologies in almost all industries and sectors of the economy. Modern technologies make it possible to integrate business processes occurring in economic systems at various levels of its functioning. In the future, competition is predicted directly between sectoral digital ecosystems; one of the key competitive advantages will be the complexity, quality, convenience, individualization and customer-centricity in the provision of integrated services and products. When building individual tourist routes and forming tourist products, it is necessary to synthesize models and methods that allow combining various services and platforms within a single digital tourism ecosystem. As one of these services, we should consider a recommendation system for the tourism industry, which is an integral element of the digital tourism ecosystem. The purpose of this article is to develop relevant approaches for increasing the competitiveness of sectoral ecosystems through individualization The purpose of this article is to develop relevant methods for increasing the competitiveness of sectoral ecosystems through individualization and customer focus in the provision of services (on the example of the tourism industry). The methodology of system analysis plays the role of a framework that combines all the necessary methods, research techniques, activities to solve the problem of improving the efficiency of the tourism industry. The methodological basis of the study was general scientific and special methods of system analysis, abstraction, analysis and synthesis, induction, modeling, clustering, the traveling salesman method, the neural network method, the theory of fuzzy sets and fuzzy logic, and others. The information base of the study was the legal acts regulating the activities of participants in the tourism and hospitality industry in the Russian Federation; official materials of the Government of the Russian Federation; articles by domestic and foreign scientists on the management of the tourism industry; as well as previous research by the authors. The article provides a justification for the need to integrate various approaches and methods for the development of a universal tourism recommendation system in the development of individual tourism products. The authors have developed a methodological approach for the synthesis and clustering of tourist products in order to form them according to user preferences.

To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The article identifies the role of analytics, based on big data, in improvement of education process and outlines the challenges, related with big data mining, storage, and security. Proposed statements are based on practical experience of the authors; architecture of program and methodological solution are the focus of the article. The article contributes to theory by the new approach to combination of big data and internet of things technologies in educational resources and, at the same time, includes implications for practice, presenting examples of the approach's realization and sharing the authors' experiences of such realization.

With the technological advancements, academics and educational programs’ developers need to provide students with competences and skills that match the market’s demand. The article considers the problems of updating educational programs and content, taking into account changing requirements of standards and employers for qualifications and competencies of specialists. It is shown that the updating process in transition to an innovative and digital economy is associated with the transition to the convergence model of education. The authors have developed a basic model for updating educational programs based on the convergence approach. The presented framework benefits both academia and industry by enhancing the programs and therefore bridging the skills gap.