Science Research Management ›› 2018, Vol. 39 ›› Issue (3): 141-153.

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An analysis of the evolution of hot issues on technology foresight based on content mining

Li Munan   

  1. 1. School of Business Administration, South China University of Technology, Guangzhou 510641, Guangdong, China;
    2. Guangdong Key Laboratory of Innovation Methods and Decision Management System, Guangzhou 510641, Guangdong, China
  • Received:2015-12-10 Revised:2017-03-30 Online:2018-03-20 Published:2018-03-16

Abstract: Based on the main literatures on technology foresight published in Chinese (domestic) and English (international) journals, and the intergared methods including bibliometrics and content mining, e.g. co-word analysis, text clustering, burst citation etc., the state-of-art and evolution of research front on technology foresight are explored. The empirical analysis revealed that the interests and evolution pattern of research front of technology foresight in China are significantly different from the literatures published in international journals. Furthermore, the potential directions and fronts on technology foresight in China and in the international are discussed.

Key words: technology foresight, content mining, bibliometrics, text clustering, CiteSpace