Abstract
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.
Notes
In contrast to industrial knowledge, scientific technology-related knowledge is generally published in the form of articulated explicit knowledge that includes papers, books, and reports, information about which is mostly stored in a database, and has great significance in terms of information by author, country, and field.
NPRs include scientific papers such as academic papers and conference proceedings and other literatures such as books, manuals, technical reports, theses, index/abstract databases, dictionaries, standards, and catalogs.
SIC is the Canadian Standard Industrial Classification (economic sector as defined by Canadian government officials, version E dated 1980), and ISIC is the International Standard Industrial Classification, Revision 3 (economic sector as defined by international standards).