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国外技术预测理论与实践进展
引用本文:何然,李钢. 国外技术预测理论与实践进展[J]. 沈阳工业大学学报(社会科学版), 2015, 8(2): 97-108. DOI: 10.7688/j.issn.1674-0823.2015.02.01
作者姓名:何然  李钢
作者单位:美国北卡罗来纳大学教堂山分校 经济系, 纽约州 克林顿市 17764; 中国社会科学院 工业经济研究所, 北京 100732
基金项目:国家软科学研究计划重大项目(2013GXS6B213)
摘    要:对技术发展趋势和新兴技术的潜力进行系统性预测是国际上技术经济领域备受关注的研究课题。对国外近年来技术预测领域的相关研究成果和所使用的技术预测方法进行回顾,将主流技术预测方法划分为模型化方法、统计和数据挖掘方法以及描述性方法三类,对各类方法的优点和局限加以梳理,并总结现有文献对不同方法的比较研究。

关 键 词:技术预测  增长曲线  数据挖掘  专利分析  技术路线图  

Theoretical and practical advances in technology innovation forecasting
HE Ran;LI Gang. Theoretical and practical advances in technology innovation forecasting[J]. Journal of Shenyang University of Technology(Social Science Edition), 2015, 8(2): 97-108. DOI: 10.7688/j.issn.1674-0823.2015.02.01
Authors:HE Ran  LI Gang
Affiliation:Department of Economics, University of North Carolina-Chapel Hill, Clinton City 17764, USA; Institute of Industrial Economics, Chinese Academy of Social Sciences, Beijing 100732, China
Abstract:Systematical prediction of technological advance, as well as the evaluation of the potentials of emerging technologies, has been a research field that drawn substantial interest globally. The advances are comprehensively reviewed in both the relevant research results and the methodologies in the field of technology forecasting in recent years. According to the proposed review, the mainstream methods of technology forecasting are classified into 3 categories: model-based methods, statistical and data mining-based methods, and descriptive methods. The advantages and limitations of different types of methods are reviewed and the various results from comparative research between different methods are summarized.
Keywords:technology forecasting  growth curves  data mining  patent analysis  technology roadmap  
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