International Institute of Management LINK

The relevance of the work is related to the importance of quickly attracting customers to new service centers. Since the efficiency of ensuring this process through promotion is rapidly decreasing, it is important to organize the attraction of consumers through recommendations. The purpose of the work is mathematical modeling of the process of increasing the number of clients in service centers, taking into account the influence of recommendations of different types of consumers, using the example of Therapeutic and physical rehabilitation ( TPR ) clinics. It is shown that the maximum number of clients of service centers is directly proportional to the promotion activity and the recommendation parameter (R). The greatest influence on the recommendation parameter is exerted by the duration of use of the service by clients. At the same time, negative reviews can have less influence on the growth rate of the number of clients. The recommendation parameter can take negative values and in this case the dynamics of the number of clients becomes rapidly growing - exponential. Promotion management allows for rapid growth in the number of clients to the required level, and then the transition to an economical promotion mode without reducing the number of patients. The conducted research of the dynamics of the recommendation parameter in relation to the TPR clinic show that its value changes several times during the year and averages 13. Thus, customer recommendations increase the flow of patients many times over compared to that generated by promotion. The results of the work can be used to optimize promotion and recommendation activities in growing service and product supply centers, including the growth in the number of clients of new bank branches and Web sites.

Venture industry itself is risky, full of surprises and requires attention. Information is a new air, but it can be used in different ways, and sometimes might be harmful for the market. COVID-19 is a perfect example that happened only half a year ago: internet and media were overdosed with materials predicting the future of all VC industry and startups market. Eventually, all this data could influence a company with premature decisions and intensify the crisis. That’s why it is crucially important to define and understand the media landscape. For this purpose, one of the methods of automatized linguistics is being used – sentiment-analysis. During the study, we confirmed the hypothesis of changes in the dynamics of emotional coloring of investors’ publications under the influence of difficult-to-predict events in the long run. The main trends in terms of geography, investment industries, investment stage and average investment were described. In addition, a parallel with 2008 was found, which is another signal of the approaching new economic crisis. The results of the study are of high public importance, as they revealed the problem of the lack of resilience of the industry to emotional shocks and viral spread among participants in the ecosystem. Depending on the studied data sections, investors and founders of startups are able to properly adjust their long-term development strategies.

The article outlines the scientific approaches to the formation of digital technologies of the ecosystem of professional education and management of the formation of human capital for the real sector of the Russian economy. It has been proposed to highlight specific competences as training units (quantums), digitize them, create a level classifier and build an ordering system, a system of choice used for order fulfillment, a continuous (from general education to professional education for a given position) professional education system based on individual educational trajectories with well-defined (digitized) parameters and focused investments in human capital. Using the formed systems, it has been proposed to provide digital modernization of the main didactic processes with guaranteed achievement of specific diagnosed learning outcomes in accordance with the order.For new competencies it is possible to develop ontological models of employee professional activities. Herewith it is planned to solve several important tasks, including the development and adoption of a general concept of continuous professional education, the selection and classification of didactic units for specific professions, the development and introduction of a classification system for educational organizations according to their levels of competence, the development and introduction of a system for qualifying teachers, formation of a system of educational trajectories (necessary competencies) for business, development of pedagogical technologies standards that guarantee the achievement of results (the right people - in the right place - at the right time). It has been offered to select several branches of the real sector of the economy for the implementation of pilot projects with the subsequent dissemination of experience throughout the Russian economy.

Significant indicator of economic progress of the country is the specific income per capita. Experts consider such indicator important from the point of view of forecasting of economic development. Influence of various factors is presented in references, but influence of psychological indicators, in particular, influence of personal characteristics of the population isn't considered. On material of the population of various countries of the world features of formation of the national specific income per capita are considered. The assumption that a measure of professional qualities is linear superposition of level of competence, creative abilities and specific national wealth is made. For simplification of the analysis the sum of these indicators were used as a superposition prototype to a first approximation. It is established that the sum of competence-based indicators, factors of creative opportunities and an indicator of national wealth per capita forms a specialized indicator. It is revealed that this indicator is connected with specific GNP per capita on dependence with high coefficient of correlation. Dependence linearization increases this coefficient to 0.949. It is established that in process of the movement in a zone of the countries with more considerable development of economy, influence of this indicator increases as dependence in an initial look has square character. Keywords. Specific GNP per capita, Competence, Ccreative abilities, Specific national wealth per capita. JEL. A10, C00, E25, O15.

The article presents features of the growing crisis process in the Russian economy and allocated symptoms of approximation a crisis in the economy. The following three factors considered as grounds for such conclusions. In particular, it was observed the slowdown of GDP, an increase with years the difference between GDP and the sum of the GRP of Russian regions. In addition, the growth of human potential has practically ceased. Collection of data by the most significant and well-informed literary sources was used. Survey of experts was conducted by importance of the factors in the list of thirty-five indicators. These data were used to extract the most influencing factors and assessment of their significance. The result revealed that corruption, inefficient public administration, crisis of the education system and monopolization of the economy turned a most important for inhibition the development the Russian economy.