Article ID Journal Published Year Pages File Type
7256027 Technological Forecasting and Social Change 2016 13 Pages PDF
Abstract
The goal of this study is to investigate relationships among IJR (international joint research) network, knowledge diffusion and science convergence. Based on scientometric analysis, lithium-ion battery, fuel cell and wind power were evaluated by regression analysis statistically. The following three hypotheses were established and verified: countries having higher centrality in IJR networks are more likely to be early adopters; knowledge diffusion increases as IJR network density increases; and science convergence increases as knowledge diffusion increases. For verifying hypotheses, we measured annual number of countries as knowledge diffusion, annual Rao-Stirling index as science convergence and annual network density, degree centrality of IJR network and conduct regression analysis among these. In conclusion, an important implication is that knowledge diffusion may significantly contribute to increase science convergence and international joint research network, one of the major sources of innovative technologies.
Related Topics
Social Sciences and Humanities Business, Management and Accounting Business and International Management
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