THE FUTURE OF MACROECONOMICS: A CYBERNETIC VIEW

Authors: K. Lawler, Professor, ORCID iD 0000-002-3409-6755, University of Kuwait, Kuwait, T. Vlasova, Visiting Research Fellow, ORCID iD 0000-0002-5000-6756, A.O. Moscardini, Visiting Professor, ORCID ID 0000-0003-4951-0848 , Northumbria University, UK, Alsariaan, Associate Professor, ORCID iD 0000-0003-1619-7680, University of Kuwait, Kuwait

Abstract: This paper outlines many weaknesses in macroeconomic theory today and suggests a way out of the dilemma is to use systems or cybernetic thinking. The paper uses a topical case study to illustrate the authors’ views of economics, cybernetics and mathematics. It concludes with recommendations for the future of economics Continue reading

FORECASTS OF THE AIR TRANSPORT INDUSTRY AFTER THE COVID-19 CRISIS

Authors: І.-С. Popa, PhD Student, ORCID ID 0000-0002-0001-4264, І. Cetină, Doctor of Sciences (Economics), Professor, ORCID ID 0000-0002-4772-4108, The Bucharest University of Economic Studies, Bucharest, Romania

Abstract: The air transport services industry is one of the most affected branches of the global crisis industry caused by the new COVID- 19 coronavirus. After a sustained growth in the last decade, this industry came to report declines of almost 50% at the end of the first quarter of 2020. Given that no one can approximate how long the global pandemic will end, it is very difficult to predict how long the air transport services will return to January 2020, Continue reading

THE INNOVATION-ENTREPRENEURIAL MODELS IN TRANSFER OF ACADEMIC TECHNOLOGIES: TRANSFORMATION OF VALUATIONAL ENTITY AND CONTRADICTIONS OF REALIZATION

Authors: I. Novikova, PhD in Economics, Senior Researcher, ORCID ID 0000-0003-0440-2616, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Abstract: The evolution of the transformation of the essence of the main innovation-entrepreneurial models in technological transfer is analyzed. It is shown that the emergence of new models of technology transfer is caused by: new forms of competition, changes in public requests and needs, choice of the way of technology implementation, the need to increase revenue, etc. It was found that the modern content of technology transfer models was formed on the basis of previous theories, which directly or indirectly took into account: interests of the research industry, consumer requests and behavior, state priorities and peculiarities of economic relationships between all subjects of the innovation process. Continue reading

STARTUP AS A NEW CONTENT IN ENTREPRENEURSHIP

Authors: I. Mazur, Doctor of Sciences (Economics), Professor, ORCID ID 0000-0002-2441-8001, M. Buha, economist, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Abstract: The article studies theoretical foundations for the essence of entrepreneurship and entrepreneur; specifics in defining the concept of “entrepreneur” by representatives of economic schools; four stages of formation of the theories of entrepreneurship, where the characteristic features of the entrepreneur that changed under the influence of socio-economic development (external environment) are analyzed.

Based on the economic characteristics of changes in the development of macro and micro levels, the emergence of new types of entrepreneurial activity – startups – is justified; a startup is defined as a fast-growing entity of small innovative entrepreneurship with a short-term history of operations, which operates in conditions of uncertainty and aims to create a fundamentally new product to meet the specific needs of consumers. Continue reading

APPLICATION OF ARTIFICIAL INTELLIGENCE TO BITCOIN COURSE MODELLING

Authors: Liashenko, Doctor of Sciences (Economics), Professor, ORCID ID 0000-0002-0197-4179, Kravets, PhD in Physics and Math, Associate Professor, ORCID ID 0000-0003-4823-5143, Repetskiyi, Economist Taras Schevchenko National University of Kyiv, Kyiv, Ukraine

Abstract:Artificial neural networks are modern methods suitable for solving the problem of nonlinear dependency approximation, which is successfully applied in many fields. This paper compares the predictive capabilities of Back Propagation, Radial Basis Function, Extreme Learning Machine, and Long-Short Term Memory neural networks to determine which artificial intelligence algorithm is best for modeling the price of Bitcoin opening. Continue reading

ОЦЕНКА МАКРОЭКОНОМИЧЕСКИХ ПОСЛЕДСТВИЙ ПРИРОДНЫХ КАТАКЛИЗМОВ И ПОСЛЕДУЮЩИЕ РАСКРЫТИЯ В ФИНАНСОВОЙ ОТЧЕТНОСТИ НА ПРИМЕРЕ ПАНДЕМИИ КОРОНАВИРУСА

Авторы: Р. Кузина, д-р экон. наук, доц., ORCID іD 0000-0002-7673-1868, Киевский национальный университет имени Тараса Шевченко, Киев, Украина

Аннотация: Проведен обзор макроэкономических последствий стихийных бедствий, основываясь на методологии ECLAC, которая отделяет прямой физический ущерб от косвенных производственных затрат и дополнительных или вторичных последствий. Рассмотрены вопросы смягчения последствий стихийных бедствий путем информирования пользователей финансовой отчетности о возможных вторичных эффектах пандемии. Continue reading