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Strategic Study of CAE >> 2016, Volume 18, Issue 4 doi: 10.15302/J-SSCAE-2016.04.018

Application of Big Data Analysis Methods for Technology Foresight in Strategic Emerging Industries

1. College of Life Science &Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

2. School of Public Policy and Management, Tsinghua University, Beijing 100084, China;

3. School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Funding project:中国工程院重大咨询项目“‘十三五’战略性新兴产业培育与发展规划研究”(2014-ZD-7);中国工程院知识中心项目(20155660158); 国家自然科学基金项目 (L1524015,71203117,71233005);清华大学绿色经济与可持续发展研究中心研究子项目(20153000181) Received: 2016-05-25 Revised: 2016-06-26 Available online: 2016-09-21

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Abstract

As an innovative strategic management tool, technology foresight has received increasing interest. There is a large number of related scholarship on technology foresight and its application. The theoretical difficulty is how to conduct technology foresight for different kinds of emerging industries, especially for targeted types of industry innovation in a developing country. Delphi expert analysis is currently the most popular method for technology foresight. This method is undermined by a lack of reliabe and valid big data to support expert experience. The authors propose a new method for patent and technical document analysis for the use of technology foresight for China’s emerging industries.

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References

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