The development and testing of theoretical and methodological approaches to evaluating the impact of informatization in the catch-up economy

Abstract

Subject. The article discusses the specifics of innovative subsystems within national catch-up economic systems, while AI technologies gain momentum. Objectives. The study evaluates mechanisms the State uses to provide aid to innovative subsystems in national catch-up systems. I determine characteristics of the general mechanism for supporting the transformation of intellectual property into intangible assets in national catch-up economic systems, and unveil distinctions of such systems. Methods. The study relies upon methods of logic, statistical analysis. Results. What distinguishes the development of innovative subsystems in national catch-up economic systems and local catch-up socio-economic systems is the focus of the national policy on high-tech export and generation of their own intellectual property to covert it into intangible assets that are usually concentrated by multinational companies of the country. Conclusions and Relevance. Being the main exporters of high-tech products, multinational companies with national economic subsystems and local catch-up socio-economic subsystems deal with the patent protection of their intellectual property worldwide. The open innovation method is a distinctive characteristic of such subsystems. It proves to be very effective in China, South Korea, Japan as large business and multinational companies rapidly evolve, using their own intellectual property and converting them into intangible assets through the AI technologies.