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Combining tech mining and semantic TRIZ for technology assessment: Dye-sensitized solar cell as a case

机译:技术挖掘与语义Triz结合技术评估:染料敏化太阳能电池作为案例

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摘要

In a competitive business environment, an early understanding of the dynamics of technological change is crucial to help policymakers and managers make better-informed decisions. Bibliometric analyses help in studying trends and technological evolution. Tech mining (text analyses of science and technology information resources) enhances Bibliometric analyses. However, more often than not, such analyses focus on a specific technological area, and mainly result in incremental advance forecasts. An analysis of the interconnected dynamics of technology change warrants new approaches for identifying technology emergence, technological substitution, and the influences of vital socioeconomic forces. This paper introduces a unique combination that applies a tech mining and semantic TRIZ as a case study to Dye-Sensitized Solar Cell (DSSC) technology. This methodological combination brings broader insights to the emergence of DSSC in conjunction with related technologies that affect its progress, enriching the associated technological progression's empirical characterization.
机译:在竞争激烈的商业环境中,早日了解技术变革动态至关重要,以帮助政策制定者和经理做出更好的明智决策。生物计量分析有助于研究趋势和技术进化。技术挖掘(科学与技术信息资源的文本分析)增强了伯格计分析。然而,更频繁的是,这种分析专注于特定的技术区域,主要导致增量预测。技术变革互联动力学的分析是识别技术出现,技术替代和重要社会经济力量的新方法。本文介绍了一种独特的组合,将技术挖掘和语义Triz应用于染料敏化太阳能电池(DSSC)技术的案例研究。这种方法组合将更广泛的见解与影响其进步的相关技术一起出现,丰富了相关的技术进步的经验表征。

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