Digitalization of economy, based on improving expert knowledge management systems

Digital economy and industry 4.0:theory and practice

The post-industrial economy is characterized not only by the forming network coordination of economic relations, development and expansion of the service sector, and the growing number of open innovations, but also by the changing role of knowledge and people. Knowledge is regarded as images of reality, tools; it is continually changing, evolving and depends on the external environment and the people who carry it. Knowledge production is the basis for digital economy. The following conditions of the digitalized economy have been distinguished by the authors: the development of infrastructure and standards of communication, provision of information security within it; the expansion of open education; creation of online communication with free access to all citizens; the improvement of information flow and knowledge management in digital ecosystems. The Industry 4.0 concept includes the creation of digital ecosystems, digital culture and the development of the digital society through the introduction of new technologies: cloud services, mobile devices, augmented reality (portable gadgets), Internet of Things, geolocation, advanced interfaces for the interaction between an individual and a computer, authentication and fraud detection, 3D-printing technology in the framework of artificial intelligence, big-data analysis and advanced algorithms, personalization according to the client’s profile. The authors propose to consider the digital ecosystem as a socio-technical system, implemented by a set of computer programs with distributed interaction and mutual usage by agents to share knowledge in the context of self-evolution. It has its technologies and services as well as its advanced features. In digital ecosystems, society can create a collective digital competence, to accumulate intellectual capital, but there is a problem of transforming the growing volumes of implicit knowledge into explicit one under the condition of more and more complicated subject areas. The authors reviewed the implementation of the knowledge spiral in digital ecosystems, analyzed two approaches to the formation of a knowledge management system using attributes and precedents. A hybrid model was proposed on their basis; the implementation of this model will contribute to the development of digital space.