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http://dx.doi.org/10.5392/JKCA.2014.14.09.582

An Analysis of the Effect of Density of the Joint Research Network between Countries on Technology Diffusion: focusing on the case of secondary battery and the electric vehicle field  

Jeong, Dae-Hyun (성균관대학교 기술경영학과/한국과학기술정보연구원)
Kwon, Young-Il (한국과학기술정보연구원)
Hong, Soon-Ki (성균관대학교 기술경영학과)
Cho, Keuntae (성균관대학교 기술경영학과)
Publication Information
Abstract
The purpose of this study is to analyze how a joint research network between countries affects the diffusion of technology information and how much countries with high centrality on the network accept new technology and to seek their meaning. With this aim, the joint research network density between countries by year and the number of participating countries were measured using thesis information regarding the secondary battery field and the electric vehicle field, and a regression analysis of relevant variables was conducted. As a result of the analysis, the greater the joint research network density in the secondary battery field, the higher the number of participating countries in a linear relationship. Also, on the joint research network, countries with high degree centrality were discovered to have led development in the mid to large size secondary battery field. Meanwhile, for the electric vehicle field, although there appeared no increase in the network density value, the number of participating countries was found to have increased. This was analyzed that joint research between countries was not a necessary and sufficient condition although it played a crucial role in promoting technology diffusion. Such a result is meaningful in that it verified promoting factors for essential technology diffusion statistically; however, with this research, there exist limitations that the index of a central role on the network was measured only with degree centrality and that only the relationship between two players was measured for network density in interactions between players. Accordingly, it is necessary to carry out research into a method to measure interactions among multiple researchers in the future.
Keywords
Technology Diffusion; Network Analysis; Degree Centrality; Regression Analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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