Science, Technology and Innovation Policy A Discussion about the Spread of “Industry Academia Collaboration” in Japan Based on the Text Mining Analysis of Newspaper Articles

From XIII Triple Helix Conference 2015

Science, Technology and Innovation Policy A Discussion about the Spread of “Industry Academia Collaboration” in Japan Based on the Text Mining Analysis of Newspaper Articles

Yoshikazu Yamaguchi, Jun Fujimoto, Akira Yamazaki and Takehiko Koshiyama

Keywords: industry academia collaboration, newspaper article, science and technology policy, technology transfer, text mining

 

The purpose of this study is to reveal the spread of the word “industry academia collaboration” in Japan based on the text mining analysis and discuss the problems and the suggestions. As research methods, articles including industry academia collaboration were searched and collected from Yomidas Rekishikan that was a database of newspaper articles. The words appearing frequently in the articles were extracted utilizing KH Coder that was text mining software and analyzed. As a result, 960 articles were collected, and 149 words were extracted from the articles. Excepting 43 words that seemed too general, 106 words were analyzed. The words were classified into 12 clusters. It was elucidated that the important points of the articles changed into in turn, “intellectual property” in 1998, “production of products” in 1999, “technology transfer” and “school education” in 2000, “policies and budgets of governments” and “startups of enterprises” in 2002, “human resource training” in 2004, “national university corporations” in 2006, “universities” in 2008, “local region promotion” in 2009, “production of products” in 2010 and 2011, “business” in 2012 and “regenerative medicine” in 2014. As policy implications, it is suggested that the expansion of competitive research funds promoting autonomous projects by private companies and universities and the institution not demanding quick results but promoting long term activities by private companies and universities are necessary. As future research tasks, text mining analysis of government documents concerning related policies and evaluation reports of national projects based on the cooperation between private companies and universities should be conducted.

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