Abstract |
Interaction among enterprises and other organizations is essential to innovation systems, where the flow of technology and information can facilitate the generation of innovation and influence industry development. Bibliometric analyses of patent documents and academic publications can reveal the extent of knowledge sharing and diffusion, serving as a narrow performance indicator of innovation systems that also points to their overall development. Therefore, this study used bibliometrics to analyze knowledge production and flow in Taiwan, Hong Kong and China from the perspective of innovation systems, targeting the field of data mining with an empirical study. The results show that Hong Kong universities perform better in knowledge production. From the pattern of collaboration network, it is clear that collaborations happen more between universities and research institutes than between industrial organizations. Furthermore, the frequency of international collaboration in China shows there to be prominent knowledge flow in that innovation system.
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