The objective of this paper is to substantiate some proposals for improving state regulation of the retail network in Russia. In some regions of Russia, there is a lack of retail supply for the population, which requires government support for retail network development. State regulation of the trading network in Russia is carried out via establishing by the authorities of Russia’s administrative regions and local authorities of the minimum standards for public provision of trading floor space. However, only 3% of municipalities in Russia develop these standards; it reflects a low practical significance of the established indicators. The authors made a hypothesis that the indicators of retail floor space per thousand inhabitants, used as standards for the minimum public retail supply in Russia, need to be replaced due to the market development of trade. To test the hypothesis, the papers by authoritative authors on similar issues were studied, which revealed the use of population indicators based on the number of enterprises as a standard in countries with developed markets. A study of the current methodology for standardizing indicators in Russia was also conducted, which showed its insufficient academic rationalizing. According to the results of the study, it was proposed to change the indicator of the minimum public retail supply standard and use the norm of the number of trade organizations per capita, differentiated by the forms of trade. The recommendations of this paper provide the basis for improving the current legal acts on the regulation of norming retail chains in Russia. This study may be interesting for countries with similar conditions for the development of the retail network (a sparsely populated large part of the country, inaccessibility of some settlements, low state stimulation of retail within unprofitable territories).
By January 2021, the number of Internet users amounted to 4.7 billion, while the social media audience hit the 4.2 billion mark. Two-thirds of the world’s population use mobile phones daily. The average Internet user spends 42% of his time in the global network. These figures prove convincingly that the Internet has become an integral part of human life. However, man’s using the Internet involves increasingly the risk of cybercrime perpetrated against the user. The purpose of the research is to assess the potential of Big Data technologies to combat cyber fraud as a form of cybercrime. The study used the statistical data provided by the Prosecutor General’s Office of the Russian Federation and the publications in scientific journals. The methodological basis of the research is represented by a combination of general scientific and special scientific methods, with analysis, statistical method and systemic approach being the major tools. It was found in the course of the research that fraud constitutes the majority of crimes on the Internet. To counteract it, mobile operators and banks use anti-fraud techniques based on Big Data analysis. The paper provides an overview of services and programmes based on artificial intelligence and Big Data technologies, aimed at detecting and preventing telephone and internet fraud, used by law enforcement agencies in various countries. The paper concludes that Big Data has changed the vector of law enforcement activity from reactive to proactive.
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