Social investments at a glance: reviewing Russian perspectives

The aim of the research is to analyze the modern trends and today’s development stage of social investments and corporate social responsibility (CSR) in Russia. The article touches a vital topic of contemporary relations of the triada “state-business-society” in Russian public discourse. Considering the system approaches and development methodology of business and government relations, the authors try to summarize the accumulated experience in CSR and social investments field. It is worth noting that Russian scientists successfully carried out the subject of the research and the conceptual apparatus, defined and systematized public expectations, analyzed and summed up real experience of socially responsible Russian and foreign companies. The article shows an interesting phenomenon that in modern scientific community is forming and becomes stable a new institutional paradigm when CSR in the narrow sense goes beyond charity and philanthropy, and today it is expressed in a broad sense - as corporate citizenship, including some political dimensions. Besides, the article highlights indicative results on the authors’ applied research “Experience analysis of social partnerships between business and government, social investments and corporate social responsibility” hold in Krasnodar and Rostov-on-Don, Russia, in 2016-2017

Socio-psychological climate as a factor of competitiveness

In this article the influence of the socio-psychological climate on the competitiveness of organizations is studied. Organizational atmosphere is considered as the main factor stimulating the growth of employees’ productivity. The aim of this study is to analyze the competitive enterprises of the brewing industry on the Russian market, their financial performance and the organizational climate that prevails in the organizations, as well as to identify the interdependencies between these indicators. To analyse the psychological climate of the team such indicators as “salary rate”, “management”, “state of working place”, “relation in collective”, “career opportunities” and “job satisfaction” were used. “Profit”, “net profit” and “revenue” of the companies were used for financial activity analysis. As a result of the analysis, a positive correlation between the presented indicators was revealed, which explains the interrelation of the financial performance of the companies and the organizational climate in them

ESTIMATION OF BANKRUPTCY RISK OF SMALL BUSINESS COMPANIES BASING METHODS OF MACHINE LEARNING

The article deals with the methodology for constructing an algorithm for determining the probability of bankruptcy of an enterprise using machine learning methods. The advantage of this methodology is the use of not only quantitative, but also qualitative indicators of financial stability of business entities, as well as the possibility of excluding factors that have little effect on the final rating. It is assumed that the created mathematic model will be useful to representatives of small and medium-sized businesses and will provide an objective and precise picture of the financial situation of the enterprise, including current threats and the risk of bankruptcy