Discussions on the patterns of technological innovation have significant implications in terms of the efficient distribution of national R&D resources and the establishment of corporate managerial strategies. This study is focused on calculating and analysing technology cycle time (TCT) by technological area based on patent data that can be used as easily accessible objective indicators for the purpose of modelling the patterns of technological innovation by period and technological area. The main technological areas handled by the study include medical science, vehicles, metallurgy, and computing. Of the patent data registered with the United States Patent and Trademark Office from 1990 to 2014, International Patent Classification sub-class codes representing each technological area were selected to collect patent data, and to generate TCT statistics every five years. The TCT statistics generated is interpreted as the technological life cycle, to be used in modelling technological innovation patterns individualised by technology and period.

The relationship of science, technology, and industry are complicated and vary according to time; therefore, it is difficult to combine the three categories into a single model. However, the linking of science, technology, and industry (divided according to their respective classification standards) is an opportunity to understand how science and technology, technology and industry, and science, technology, and industry are interrelated. This article examines the methodology to link science, technology, and industry that proposes a concrete model to analyse science, technology, and industry in an integrated manner. This study formulates an empirical study of trend analysis for technological innovation through a linkage structure of the knowledge flow of science, technology, and industry based on classification linkage and an analytic framework that utilizes scientific papers and patents. This article uses citation analysis to analyse knowledge flow (such as absorption and the utilization of given knowledge) that looks at the provision of knowledge to create new knowledge as well as examines the use of network analysis to analyse the complicated phenomenon of knowledge flow.

The essence of the experience of East Asia has been on technological capability building and dynamic industrial transitions from one stage to the next. While many studies for understanding the catch-up process and post catch-up agendas exist, empirical and comparative studies that consider the transition from catch-up to post catch-up are still rare. The significance of this research can be summarized in two ways. First, this study verifies the conformity of existing major catch-up to post catch-up transition studies with quantitative evidence. Second, by comparing commonalities and patterns from South Korea and China, this study examines the generality of the discourses and arguments about the transition from catch-up to post catch-up. The reflexive study of understanding transition from catch-up to post catch-up was conducted with a technology cycle time (TCT), self-citation ratio at a country level, and the basic research expenditure of Korea and China by using the US Patents and Trademark Office’s (USPTO) patent citation (for technology cycle time & self-citation ratio) and OECD’s database (basic research expenditure and gross domestic expenditure on basic research) for time period from 1998 to 2012. Empirical evidence of technology cycle time, self-citation ratio and gross domestic expenditure on basic research matched well with the prior transition arguments. First, Korea’s case shows a post catch-up trend with an increasing technology cycle time while China’s case presents catch-up trend (short-cycle period) and shifts to post catch-up trend (post catch-up trend). Self-citation ratios for both countries show increasing and converging pattern. In terms of basic research activities, both countries show increasing pattern. Korea exceeded the gross domestic expenditure on basic research of Japan and the US. Even though, China’s gross domestic expenditure on basic research has been tripled from 1998 to 2012, China’s gross domestic expenditure on basic research has still a long way to go to close the gap and to show a converging pattern. Many developing countries that once experienced a certain level of successful catch-up did not overcome the middle income trap have fallen behind. Understanding transition process of catch-up to post catch-up discussed in this paper may present a better understanding of long-term sequential development and economic sustainability of developing countries.