Abstract:In the present day, in the context of the toughening of global competition in the field of health care and the efforts that different countries of the world spend on improving the efficiency of the public sector of economy, the problems associated with determining the factors of competitiveness of healthcare organizations come to the forefront. The research conducted by the authors showed that assessing the competitiveness and development potential of medical companies with the Keigan-Vogel positioning map often gives incorrect results. The study showed that a significant part of errors (22-28%) is due to an incorrect evaluation of the quality and effectiveness of medical services, which necessitates a clear delineation of these concepts. The work shows how these indicators effect the competitiveness of organizations in the health sector and what happens if we do not distinguish between these two concepts. JEL IntroductionToday, the health sector plays a crucial role in the state's economic and social policies. In modern conditions, increasingly more stringent requirements are imposed on healthcare institutions, both on the part of the society interested in improving the quality of life, on the part of the state that finances health development programs, and the work of budget institutions within the framework of the current economic policy. (Altunyan & Kotcofana, 2016) In this way, healthcare institutions find themselves in a highly competitive environment, and even in global competition, because modern consumer of health services can choose not only between private and public institutions, but also between domestic and foreign ones. (Rybakov et al., 2013) One of the key issues in this area is the correlation of the quality and effectiveness of medical services, which often are mixed by many researchers. To date, there is no single methodology for assessing the quality of medical services -as a rule, quality is replaced by compliance with standards, and the standards themselves are developed either arbitrarily or based on the amounts allocated to the health care system. Therefore, if we ignore the problems of medical services' quality in modern studies, research gaps arise. In modern works a concept is used that is expressed in the classical work of Lanska and Hartz (1998). However, to analyze the competitiveness of organizations in the healthcare sector this, as the authors' research has shown, is clearly not enough. Methodology To analyse the competitive position of companies providing medical services, the breakthrough positioning model proposed in 2000 by Jonathan Keigan and Craig Vogel was chosen (Cagan & Vogel, 2013) With this model, we can determine the competitive position of the organization, the priority directions of building the company's strategy, and the matching of available resources and capabilities. All companies providing medical services can be divided into 4 types depending on the level of technology, design, and ability to "close" the SET break (generic, kitsch, high-tech, break...

This article discusses competitiveness of public health institutions, which relates to their market position as ranked by various entities (including government). For this purpose, a model of competitive positioning is designed for assessing healthcare organizations. This model allows one to assess the level of competitiveness of a medical organization, evaluate its market positioning, and develop a strategy for furthering its development using features of their position provided by the model. JEL Classification Numbers: I11, D81, L25; DOI: http://dx.doi.org/10.12955/cbup.v5.950

Research background: The article analyzes the impact of the COVID-19 pandemic on the tourist competitiveness of St. Petersburg. In order to maintain sustainable tourist attractiveness after the end of the pandemic, the city will have to conduct a more thorough analysis of the factors influencing the choice of St. Petersburg among other competing tourist centres. Purpose of the article: The purpose of this article is to identify competitive priorities of territories that are attractive for tourism activities in the conditions of recovery from the crisis that arose due to restrictive measures applied due to the coronavirus pandemic. Methods: To achieve this goal, the article uses a modified SWOT analysis apparatus with the use of a matrix assessment methodology implemented on the basis of a modified methodology of the Hierarchy Analysis Method and the calculation of marginal replacement coefficients for criteria of tourist attractiveness and competitiveness of the territory after the pandemic. Findings & Value added: For the analysis, a new approach is proposed to obtain the characteristics of the city assessment for different categories of tourists, which significantly increases the accuracy and strategic prospects of the classical procedure of SWOT analysis. As a scientific growth, we can consider the use of matrix estimation mechanisms for a more rational ranking of factors, more accurately determining probability and weight characteristics. Therefore, this will provide higher accuracy of strategic recommendations for the city for each important category of tourists.

Research background: One of the areas that has undergone major changes in the processes of its activities and has had a strong impact on the change in social institutions is the field of education. The sharp transition to distance education and a number of technical, informational and human problems led to a significant complication of educational and other processes (scientific, innovative, entrepreneurial, etc.). Purpose of the article: The article raises the problem of the impact of the coronavirus pandemic on global social and public institutions. The purpose of the article is to identify the factors of ensuring the competitiveness of universities, as the least protected by state support, in the context of forced digitalization against the background of the covid-19 pandemic. Methods: The paper uses mechanisms for assessing the competitiveness of universities in the new reality of the pandemic and its consequences, implemented on the basis of a modified McKinsey matrix and matrix algorithms for evaluating priority vectors. Findings & Value added: The analysis showed that the universities that have the greatest independence in the system face the greatest difficulties in carrying out their activities in the context of a pandemic. As scientific growth can be considered, the results of the analysis of the transition to distance learning processes that have combined higher education systems in different countries, and if earlier most universities competed at the regional or country level, now they are forced to enter into global competition with foreign universities.