Abstract: The fact that many Russian universities offer a wide, but often similar, range of educational services substantiates stiff competition between them, which aggravated in the conditions of protracted global COVID-19 pandemic due to the need for rapid implementation of the tools and methods of distance learning. The educational institutions compete for not only students, by their admission to each specific discipline. The goal is set to analyze the competitive positions and opportunities of the university on the market of educational services in the Russian Federation. The subject of this research is Kazan Innovative University named after V. G. Timiryasov. The research methodology leans on the general theoretical methods, as well as 7P and SWOT analysis. As a result, the author determines the merits and flaws of the university, market opportunities and threats; as well as offers the vectors for improving on the market of educational services. The acquired conclusions on the need to expand the material base, increase the academic degree holders rate, involvement in the grant mechanism, and integration into the real sector of economy are relevant for a great many universities in the Russian Federation.

Abstract: The entrepreneurial activity in the market economy is accompanied by many risks. The subjects of this research is the entrepreneurial risks, nature and scale of which need to be probed, in order to be managed efficiently. The goal of this work is to develop methodology for compiling risk maps that would allow not only quick identification and classification of entrepreneurial risks, but also efficiently manage them. A version for structuring a risk map consists in a “likelihood-loss” matrix, where the magnitude and likelihood of loss is scored and marked in the appropriate line or column within the matrix. The scientific novelty of this research consists in development of a risk management algorithm in entrepreneurial activity based on identification and formation of risk maps that allow undertaking efficient measures to mitigate the consequences of a particular risk. The proposed methodological recommendations, as well as the algorithm for classification, identification and management of risk in production entrepreneurship is approved by the materials of OOO “Prok”, and demonstrated its actuality and effectiveness.