The digital transformation has affected all economically developed countries in the world including Russia. The issues of transition to the digital economy are considered at the highest level: the decrees of the President of the Russian Federation created national and federal projects, including in the higher education system. But the transition to the digital environment is rather slow. The article presents an assessment of the current state and trends in the development of the domestic system of higher education, identifies the problems of transition of Russian universities to the digital educational environment. The purpose of the article is to generalize and systematize the existing developments and create a methodology for assessing the degree of universities willingness for digitalization. The authors have systematized and expanded the list of factors for assessing the willingness of universities for digital transformation. The main research methods are: expert assessment method, morphological analysis, cluster analysis. The matrix of factors and their features formed the basis for ranking indicators and forming clusters. The method proposed by the authors is universal, it has been tested at one of the Russian universities – NSTU NETI and can be applied by any institution of higher education to assess the willingness of the University for digitalization.

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The purpose of our paper is to examine the interrelation between digitalisation indicators of dairy industry government regulation and economic efficiency, using large corporations of Novosibirsk Region as an example. We propose to identify an integrated system approach to evaluating the influence of state programs related to digitalisation of the dairy industry on industry performance. A system-wide transition to digital technology in the infrastructure of dairy industry regulation is nearly totally absent from academic research. The existing literature considers the influence of state programs and policies on the industry and proposes various performance indicators. However, it is uncertain how industry digitalisation may affect these performance indicators. To address this gap in the literature, we propose a hypothesis of dependency between digitalisation indicators and performance indicators of dairy corporations. The basis of the methodology is the calculation of a digitalisation index used to assess the efficiency of government support of the industry corporations. In order to substantiate the hypothesis, we apply a correlation and regression analysis and established interrelations between the offered criteria (digitalisation index and share) and operating performance of dairy industry economic entities. Our results indicate general consistent patterns and interrelations between digitalisation of state regulatory programs and the performance of dairy industry corporations. Our statistical analysis reveals digital technology as a tool of government has a significant impact on business performance. The offered digitalisation criteria and patterns of performance efficiency are indicative of the possibility to manage the digitalisation process based upon preset parameters of business performance. Our research will be of interest to specialists developing state programs and policies applying digital technology, directors of dairy companies, and scientists who conduct research in related fields, who may use our approach for evaluating and forecasting performance in the dairy industry, accounting for the impact of government regulation.

The article investigates the influence of various parameters and coefficients on financial stability, groups the factors according to their degree of influence and highlights the most significant for the insurance sector. We assumed the existence of a relationship between financial stability and indicators of debt burden, capital stock for meeting obligations, ratio of receivables and payables, expense ratio and loss ratio. The hypothesis was substantiated by analyzing investment investments of insurance companies in the real sector of the economy using the coefficient method and a prospective analysis of the paradoxical theory of regulation.

The article is dedicated to the study of risks and building a digital profile, both at the level of economic entities and at the regional level. The factors that determine eight types of risks inherent in agricultural organizations in the context of digital transformation are analyzed. A hypothesis is put forward that the digital profile makes it possible to assess the readiness of companies for further digitalization and to highlight areas of increased risk that require attention from the state. Our calculations can be used in the future to assess the sustainability of agricultural organizations, both in Russia and abroad.