과학논문과 특허를 통한 과학기술 지식흐름의 특성분석

This paper is an empirical study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we use the information of scientific papers and patents to look into the characteristics of how knowledge is created in science, technology and industry. Based on the characteristics we find, we are able to understand the relationships between science and technology, and technology and industry. In this paper, we adopt multivariate analysis of variance (MANOVA) using scientific papers in SCI database and US patents filed by Korean inventors in order to analyze the patterns of knowledge flows of science and technology. Finally, we present the direction for future study by using the research results.