测度技术融合与趋势的数据分析方法研究进展

Review of Data Analysis Methods in Measuring Technology Fusion and Trend

【目的】对技术会聚/融合相关研究进行较系统的梳理,期望能够展示该领域的研究进展,为后续研究提供参考。【文献范围】从Web of Science(WOS)、CNKI等数据库中分别以"技术会聚(Technology Convergence)"、"技术融合(Technology Fusion)"等检索词搜集获得中英文相关文献73篇。【方法】针对技术融合相关概念及内涵、测度技术融合程度与趋势的数据分析方法进行较系统的文献提炼与评析。【结果】近年来有关技术融合的研究越来越丰富;基于专利数据的技术融合分析方法主要包括评估技术融合度的指标、专利引文网络分析方法探索技术融合演化路径、专利共类识别技术融合轨道等。【局限】混合方法的横向对比研究较少。【结论】已有分析方法尚不完善,测度技术融合的数据分析方法优化拓展的潜力巨大,未来具有较大的研究发展空间。

[Objective] This paper reviews literature on technology convergence/fusion, aiming to explore research progress in the field and provide reference for further studies. [Coverage] We retrieved 73 papers in Chinese and English from the Web of Science （WOS）, CNKI and other databases using the keywords ＂Technology Convergence＂ or ＂Technology Fusion＂. [Methods] We reviewed the concepts of technology convergence/fusion, and related data analysis methods. [Results] We found the number of research on technology convergence/fusion was increasing. Their data analysis methods used patents as indicators, illustrating evolution path with patent citation network, and establishing fusion track with co-classification analysis. [Limitations] More research is needed to compare the hybrid methods. [Conclusions] The data analysis methods for technology convergence/fusion require much optimization, which leaves many knowledge gaps to be filled.