Subject The article considers methods to assess the impact of social infrastructure of the university on its competitiveness. Objectives The aim is to develop a methodology enabling to assess the impact of university's social infrastructure on its competitiveness, and test it. Methods I apply a regression analysis, where I use the degree of attractiveness of the university for students and for academic staff as a dependent variable. Estimations of satisfaction (perception) of the university's competitiveness factors are used as independent variables. As a result, I developed multiple linear regression models calculated under the method of exclusion in the IBM SPSS Statistics software. ResultsThe paper presents regression model equations to assess the influence of university's competitiveness factors on its attractiveness for all groups of students (local, non-residents, foreign) and for academic staff, highlights positive (direct) impact of the level of university's social infrastructure development on its competitiveness with a specific contribution to the dependent variable. Conclusions When designing programs for higher school development and its competitiveness enhancement, the university management should take into account the university's social infrastructure, which has, inter alia, a significant impact on competitiveness for all groups of students and academic staff.

The practice of using quantitative models of socio-economic development to fulfil the tasks of regional strategizing is a common trend. However, the significance and the area of practical application, functionality and, consequently, the effectiveness of applying such models in the context of strategizing is still a matter for further research. The article deals with the methodology and the instruments of strategizing which combines analysis, forecasting and management procedures oriented on the balanced assessment and search for the priority development trends in the conditions of increasing resource limitations and external threats. The authors developed a universal economic-mathematical model of functioning of the socio-economic system of the region. The system reproduces the dynamics of the key processes, the suggested instruments automatically form and work out the predictive options for advanced development. Algorithmic technique used for modelling provides the opportunity for effective reduction of dimension of the space of variables for the tasks of searching and analyzing indicators’ dependencies on factors, excluding the need for direct accounting of hard-to-distinguish mutual dependencies of initial statistics indicators and actually reducing the problem to building paired linear regressions of the indicator indices to factor indices. The authors also have solved the task of evaluation of attainability of the declared target landmarks in preparing long-term targeted programs. Using the designed application as the instrument of strategizing of regional development may significantly facilitate the search for and justification of important areas of economic activity in terms of global uncertainty and limited resources.

The article analyzes existing barriers for innovative entrepreneurship in Russian markets that raise obstacles to market efficiency. The purpose of the study is to rethink the role of the main barriers to creating competitive Russian startups, to identify the basic reasons for the failure of Russian new high-tech companies in the fields of information technology, biotechnology, medicine and pharmaceuticals, and to provide an insight in relative significance and sectoral characteristics of these factors. To identify the conditions and circumstances underlying unsuccessful start-up, the authors developed the methodology, conducted interviews with start-up participants, provided a comparative quantitative assessment and compiled the rating of existing barriers. All these made it possible to formulate the main reasons for Russian startups failures that relate primarily to product and market problems: difficulties in forming an adequate supply of in-demand goods and services, wrong choice of promotion strategy, limited marketing communications with a potential are associated with the lack of financial resources (inadequate financial planning, errors in investment design, underestimation of costs), alongside managerial and organizational issues (building cohesive professional teams and lack of leadership qualities among managers). The findings show that to minimize the risk of adverse outcomes, executives and employees of high-tech startups should pay special attention to target markets, marketing and strategic management. The unique approach of the research, together with the identification and classification of relevant barriers, contributes to understanding the specifics of high-tech startups in preventing their collapse.