Science Research Management ›› 2018, Vol. 39 ›› Issue (10): 138-147.
Previous Articles Next Articles
Lai Chaoan, Qian Jiao
Received:
Revised:
Online:
Published:
Abstract: The technology foresight method for new technologies and industries is becoming an important tool to support industrial technology planning and making decision for research and development. However, nowadays, industrial technology forecasting usually uses qualitative methods like expert analysis method, which lacking reliability and objectivity. Quantitative analysis method is a new tool for industrial planning and technology foresight, and patent mining is a priority quantitative analysis method. This paper proposes an analysis method based on a new analysis method of knowledge map with patent network and patent map, and integrated with multiple patent analysis methods and combined with TRIZ evolution rules, which form a visual industry forecasting analysis framework based on the patent knowledge map. Be aiming at mobile medical industrial, an emerging industry, this paper discourses the application of the analysis framework, and analyzes industry competition situation, development trajectory and technological opportunities, which looking for potential technical direction and provides suggestions for the research of enterprise. According to practice, this method improves the efficiency of technology foresight and planning, and improves the reliability and objectivity of decision-making.
Key words: patent mining, knowledge map, technology foresight, mobile health, emerging industry
Lai Chaoan, Qian Jiao. Technology foresight for the mobile health industry based on patent mining[J]. Science Research Management, 2018, 39(10): 138-147.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.kygl.net.cn/EN/
https://www.kygl.net.cn/EN/Y2018/V39/I10/138