Modelling of threats of economy digitalization

Rudyk, S.

Modelling of threats of economy digitalization

Файли

Black_Sea_Sci_2020_Rudyk.pdf(2.38 MB)

Дата

2020

Автори

Rudyk, S.

Анотація

An analytical review of scientific research of foreign scientists on realization of the digital transformation trend is conducted, as well as on the methodological apparatus for assessing the digital economy development, a series of regulatory acts concerning digital changes in Ukraine and the experience of modelling individual risks of economy digitalization. An analysis of scientific literature on the specifics of the interpretation of the definition "digitalization" is carried out. It is generalized that the interpretation of "digitalization" is conditioned by the subject providing the definition, and this leads to ambiguity in the understanding of the concept under study. It is clarified that digitalization of economy provides effective bilateral interaction of the state, society, business and person by means of digital technologies if all the participants of communication have the appropriate digital competencies. It is substantiated that the implementation of digitalization into economy creates a number of threats, the main of which is an increase in the level of cybercrime. The main types of cybercrime are defined. The dynamics of the main threat to the digital economy development – cybercrime – are modelled to optimize the management of economic systems. The statistics show that the growth rate of cybercrime will accelerate. The main types of cybercrime that will carry the highest risk are foreseen. It is found that the main violations are crimes in the field of payment systems. Preventive activities are suggested.

Опис

Rudyk S. Modelling of threats of economy digitalization / S. Rudyk ; supervisor I. Nikolina // Black Sea Science 2020 : рroc. of the Intern. Competition of Student Scientific Works. Information Technology, Automation and Robotics / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2020. – P. 346–355 : fig. – Ref.: 23 tit.