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The relation between knowledge accumulation and technical value in interdisciplinary technologies

机译:跨学科技术中知识积累与技术价值的关系

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摘要

A challenging task in technology management is the early identification of potentially valuable inventions. The depth, breadth, and age of the body of knowledge underlying an invention are theorized to indicate the technical experience of the sectors relevant to the invention. Prior research assessing this body of knowledge have focused on the content of knowledge through bibliometric and semantic indicators but neglected the structural role of knowledge underlying a patent. Focusing on technical value, we propose a new metric that accounts for the structural maturity of knowledge preceding an invention. Using a composite patent value and multiple generation citation networks, we compare knowledge accumulation in 60 originating patents for inventions in the energy-harvesting sector over a 100-year observation period, resulting in an analysis of 1900 patents. The results indicate that our metric for knowledge accumulation reveals a statistically significant correlation between the structural maturity of the knowledge that contributes to the specific invention and technical value of a patent. The structural view on knowledge accumulation explains at least as much variance in the composite value of patents as current knowledge content-based indicators, and, unlike those indicators, is useful as a leading rather than lagging indicator. This metric can therefore find application in technology forecasting as a forward indicator of the technical value of inventions.
机译:技术管理中的一项艰巨任务是及早发现潜在有价值的发明。对发明基础知识的深度,广度和年龄进行理论分析,以表明与发明相关的领域的技术经验。先前评估该知识体系的研究通过文献计量和语义指标集中于知识的内容,但忽略了专利基础知识的结构性作用。着眼于技术价值,我们提出了一个新的指标,该指标考虑了发明之前知识的结构成熟度。使用复合专利价值和多代引用网络,我们比较了100年观察期内60项能源收集领域的发明专利的知识积累,得出了1900项专利。结果表明,我们的知识积累量度揭示了促成特定发明的知识的结构成熟度与专利的技术价值之间的统计显着相关性。关于知识积累的结构性观点至少解释了专利复合价值的变化与当前基于知识内容的指标一样多,并且与那些指标不同,它可用作领先指标而不是落后指标。因此,该度量可以在技术预测中找到应用,作为发明技术价值的前向指标。

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