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Analyzing interdisciplinarity of technology fusion using knowledge flows of patents

机译:利用专利知识流分析技术融合的跨学科性

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摘要

Despite the importance of identifying industry-wide impact of technology fusion, there are few studies to analyze interdisciplinary trends of technology convergence from an industry-wide perspective. This paper, therefore, presents a procedural method to analyze trends of industry-wide technology fusion by measuring knowledge flows of patents. The method constructs a technological knowledge flow matrix that represents knowledge flows among technology classes, and then extends it to an industry-wide knowledge flow matrix by exploiting the concordance between technology classes and industrial sectors. By computing assessment indicators of technology fusion regarding industrial sectors of a specific technology area, the method outputs a visual map that shows trends of industrial technology fusion. The presented method is illustrated using patents related to the new and renewable energy-based railway technology. We expect that the method will be incorporated into the R&D planning processes to assist R&D planners to initiate new R&D projects with a proper direction. Under these directions, the R&D projects can create new inventions by converging prominent technologies beyond industrial boundaries. Further, the method has the potential to become a basis of systematic support systems for technology experts to conduct knowledge-intensive technology planning activities.
机译:尽管确定技术融合在全行业的影响非常重要,但很少有研究从全行业的角度分析技术融合的跨学科趋势。因此,本文提出了一种通过测量专利知识流来分析全行业技术融合趋势的程序方法。该方法构造了代表技术类别之间知识流的技术知识流矩阵,然后通过利用技术类别和行业部门之间的一致性将其扩展到整个行业的知识流矩阵。通过计算关于特定技术领域的工业部门的技术融合的评估指标,该方法输出显示工业技术融合趋势的可视地图。使用与基于新能源和可再生能源的铁路技术相关的专利来说明所提出的方法。我们希望该方法将被并入R&D计划流程中,以帮助R&D计划者在正确的方向上启动新的R&D项目。在这些指导下,研发项目可以通过融合超越行业界限的杰出技术来创造新发明。此外,该方法有可能成为技术专家进行知识密集型技术计划活动的系统支持系统的基础。

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