跳至主要内容

博文

目前显示的是标签为“Knowledge Flow”的博文

Regional University-Industry Knowledge Flow: A Study of Chinese Academic Patent Licensing Data

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53615#.VMnwoCzQrzE Author(s)    Xiaopei Gao * , Yuming Chen , Wei Song , Xiaobao Peng , Xiaoyan Song Affiliation(s) School of Public Affairs, University of Science & Technology of China, Hefei, China . ABSTRACT Knowledge and technology transferring between universities and industries had been an important research focus of innovation management. Bibliometric research on the university-industry knowledge transferring had always used patent collaboration and citation data as indicators. However, patent licensing data were more representative and could target the knowledge transferring directions. This paper had gone through the data of Chinese academic-industry patent licensing and focused on the variances in regional level and geographic distance. Using patent licensing document analyzing method, the academic-industry knowledge flowing patterns had...

Mapping and Evaluating Regional University-Industry Knowledge Flow through Patent Licensing

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53107#.VLXH0snQrzE Author(s)    Xiaopei Gao * , Yuming Chen , Wei Song , Xiaobao Peng , Xiaoyan Song Affiliation(s) School of Public Affairs, University of Science & Technology of China, Hefei, China . ABSTRACT Different regions had various kinds of academic resources and industries competitors. The knowledge and innovation output generated by researchers in academy had been transferred into industries through patent licensing. Using the patent licensing document analyzing method and the mapping technique, the academic-industry knowledge flowing patterns of different regions in China had been discovered and visualized in maps. The regional performance of academic-industry knowledge transfer was rather mixed and unbalanced. Based on the licensing performance data, this paper had also generated a 4 × 4 block matrix as evaluation tool and ranked 28 C...