The article identifies the key determinants that influence the efficiency of companies' investment policy in the retail sector. The sample of the study includes data on 86 Russian retailers actively working in the domestic market. The constructed models showed the degree of influence on the investment policy of retail companies such indicators as assets, net profit, current liquidity ratio, total debt to total assets, company age, online store availability, number of outlets, development plans, number of countries where the retailer is developing, as well as macroeconomic indicators such as gross domestic product, investment volume, interest rate.
The process of the decision making requires providing the risk and sensitivity analysis, the economic efficiency evaluation. When the investor needs to take into account several parameters in order to make the decision the new approach based on the method of the Fuzzy Logic can be used.
The paper deals with the main directions of the development of science about the economy of the enterprise in Germany in the period of 1919-1933. At that time, the German scientists elaborated the methods of accounting data protection from the negative influence of the inflation. Another focus of their work was the development of the productive efficiency management.
The first part of the article contains a thorough review of the existing literature on possible links between innovative development of national economy and corruption. The second part of the article is a research on such links in Russia. Having analyzed the existing regional data, we have tested several hypothesis, among them: (1) higher economic performance leads to the growth in R&D sector which is followed by the growth of the corruption level; (2) higher corruption level leads to decrease in the region’s economic performance, as well as in number of innovations; (3) More innovative and less corruptive the region is, the better is the economic performance of the region. Our results show, that we can’t prove any strong link between corruption and innovations unless we divide the regions into several groups according to some socio-economic characteristics. But even in this case the link between the studied parameters is not undoubtful.
The paper deals with the conditions of the theoretical formation and the development of enterprise of Germany over the period of 1898-1919. The concept of the contemporary German economist D. Schneider rejecting the widely spread sociological theory of the birth of the German economics of enterprise history is first presented in the Russian language in the paper.
Corrupt buyers and sellers of government services often face difficulties finding each other. Their activity is illegal, so one cannot just ask: "will you take my bribe?" or "how much will you give me if I accelerate this bureaucratic procedure?" Professional intermediaries help reveal this information. Sometimes intermediaries perform some legal functions too (e. g. teaching candidates for driver's license) but earn money primarily by accumulating and transferring bribes and organizing corrupt interactions. In this paper a survey of literature with corrupt intermediaries is presented.
This article presents a comparative analysis of the credit behavior of borrowers in banking retail sector, depending on areas they work. Industries were identified in which the most and the least creditworthy borrowers work. We analyzed the impact of the crisis on the credit behavior of borrowers working in different industries. We revealed that the economic shock had a significant impact on the creditworthiness of employees of financial institutions and construction industry. But it was found that there was the most rapid restoration in these areas in the post-crisis period.
This article is a brief overview of the works on the basics of networks classification, with the main focus on social networks. Today presence of an event in social networks almost completely determines its fate and the fate of related ideas, products, people. But often they are studied on the basis of classifications developed for non-social networks, which do not take into account their “social” nature. We try to point to the main issues that should be mentioned when dealing with “social” phenomena.
This article is a brief overview of the works on the basics of networks classification, with the main focus on social networks. Today presence of an event in social networks almost completely determines its fate and the fate of related ideas, products, people. But often they are studied on the basis of classifications developed for non-social networks, which do not take into account their “social” nature. We try to point to the main issues that should be mentioned when dealing with “social” phenomena.