VECTORS OF AUTOMATIZATION OF KNOWLEDGE AND INFORMATION SYSTEMS MANAGEMENT IN THE DIGITAL ECONOMY

In this research, we study the types and features of digital automatized solutions which are connected with knowledge and information systems management in various sectors of the economy. It is demonstrated that at the current stage of the formation of the digital economy, there have formed various directions (vectors) that cover e-commerce, high-tech industry, logistics, transport, etc. Despite many advantages of automatization in the considered directions, there are still problems with adapting ICTs and a global threat of the growth of unemployment. A comprehensive solution to this problem will determine the further socioeconomic development of countries. The objective of this research is to systematise the key directions (vectors) of automatization in the management of knowledge and information systems in the conditions of digitalization of economic sectors and infrastructure. The methodological framework of this research is comprised of frame analysis, statistical method, and trend method. The scientific novelty of this research is connected with the substantiation of perspectives of further development of automatized digital solutions in the digital economy given the existing social threats.