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Cryptocurrency Market: State, Problems and Prospects

The first cryptocurrency appeared in 2009 and since then, both the number of active cryptocurrencies and the number of owners of crypto accounts have been steadily increasing. Despite the lack of a unified position on the issue of its legalization and the legality of its use for settlements and transactions on a par with “real” money, more and more users, both among individuals and legal entities, are inclined to the prospects of cryptocurrency investments, as evidenced by the investment policy of a number of large Wall Street companies in 2020–2021. Thus, the relevance of the chosen topic is due to the need to analyze the dynamics of the young cryptocurrency market, which is developing according to its own laws, which differ from the mechanisms of functioning of traditional markets. The development of the cryptocurrency market is influenced by factors such as the number of investors and the degree of development of blockchain technologies. The purpose of the study is to identify the factors that control the dynamics of the cryptocurrency exchange rate and assess their impact on the current state of the cryptocurrency market. To achieve this goal, such scientific and practical research tasks were formulated as identifying factors affecting the popularity of cryptocurrencies in the world; describing the advantages and disadvantages of using cryptocurrencies; conducting a retrospective analysis of the world experience in regulating the cryptocurrency market and analyzing the dynamics of the value of cryptocurrencies, using Bitcoin as the first and most popular cryptocurrency in the world. Particular attention was paid to the problem of identifying the factor that influenced the downward dynamics of the value of cryptocurrencies since mid-September 2021. When writing the article, such methods as analysis of statistical information, analysis of the dynamics of individual elements of the market, a forecast based on consumer judgments, the study of global strategy directions, and others were used. The result of the study was the disclosure of the influence of a new factor on the cryptocurrency market – energy. Read more...

Effective Data Management as a Competitive Advantage of Business Entity

The relevance of the research lies in the increasing influence of data management efficiency on all spheres of the modern economy. Today, no one disputes the importance of information for ensuring effective management decision-making and sustainable business development. The activity of any organization is accompanied by the collection, accumulation, processing, transmission of data necessary for effective business management and the formation of a corporate interaction environment. The purpose of this study is to identify trends in the development of corporate data management systems that provide sustainable competitive advantages of business. In accordance with the goal, the following tasks were set: identify changes in data management approaches that will provide a sustainable competitive advantage; to develop a universal architectural concept of an effective big data management system at all levels of business interaction; to develop recommendations for the transition of business to the proposed architecture of a digital data management platform. In the process of research, the authors of the article used such methods as theoretical (analysis, generalization, synthesis, abstraction, formalization, concretization) and general philosophical analysis (system method, analysis, observation). The authors use legal methods (formal- logical) as the basis for drawing conclusions. The article discusses the issues of managing integration processes of data management in the context of the development of the digital economy. The problems related to the efficiency of corporate data management at the present stage of development are analyzed. It is shown that the influence of corporate data management functions is characterized by significant features, which is why the effectiveness of their management is evaluated ambiguously at the current stage of economic development. Solving these problems requires rethinking the existing approaches to data management, as well as developing a new architecture of the special tools used. As a result of the research, the concept of a multi-level architecture of a corporate data management system (ecosystem) at all levels of business in any field of activity has been developed, taking into account the economic conditions of the country. Recommendations on the transition of companies to the proposed architecture of the corporate data management system have been developed. Read more...

Analysis of the Use of Artificial Intelligence in ERP Systems: Potential and Real-World Implementation Experience

Today, management faces problems associated with a significant change in the business environment. When managing an organization in such conditions, constantly changing data can force managers to postpone decision-making in search of greater analytical accuracy. Also, uncertainty interferes with the implementation of a detailed plan. In this regard, to manage an organization in modern conditions, it is necessary to use methods that provide for forecasting and an objective assessment of management contradictions. The ERP system will help solve these main problems. However, even modern ERP systems have limitations that do not allow them to quickly and effectively analyze the huge flow of information generated by modern business processes. Artificial intelligence technologies can be used to solve this problem. The article discusses the problems of implementing AI solutions in ERP systems and proposes solutions to improve the efficiency of business processes for operational decision-making in modern conditions. Currently, the development of modern enterprises is no longer conceivable without the use of technologies based on artificial intelligence, which is one of the key trends in economic development both in Russia and in the world. Based on literature review and empirical data analysis, the authors of the article consider what steps need to be taken to develop new technologies in business and how to improve the data environment. The authors focus on the fact that, despite the enormous potential, AI solutions face a number of difficulties in their implementation. The article concludes that the implementation of AI solutions in modern ERP systems is an effective solution for managing a modern enterprise, since such solutions are already capable of significantly simplifying business process management by automating tasks and providing real-time analytics. Read more...