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Innovation indices: the need for positioning them where they properly belong

机译:创新指数:需要将它们定位在适当的位置

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摘要

A specific quality of the discussion about innovation indices (scoreboards) is that more often than not the subject is dealt with from a purely technical point of view. Such a narrow approach silently assumes that indices used as a policy tool are an accurate reflection of the phenomenon and should not be questioned, and also that the whole discussion concerning them should refer to methodological aspects and is best left to the statisticians. This author is of the opinion that for an accurate evaluation of the value of indices as a policy tool, it is necessary to consider the matter from the broader point of view and from the context in which such indices are generated and used. This article puts forward the thesis that progress in science and innovation policy studies depends on a diversity of issues, approaches and perspectives. If that is the case, maintaining thematic and methodological variety may be more important than creating coherent and closed analytical tools, i.e. indices. The advantage of indices is that they focus attention on those variables which are deemed to be key. Among their disadvantages, however, are their highly abstract nature (in order to understand innovation-related phenomena, it is necessary to study them in tangible, composite forms); their tendency to skip unmeasurable determinants; their prior acceptance of definitions and concepts of innovation (instead of searching for them); the way they apply a single yardstick to diverse countries and regions, assumed linearity and causality in a complex and non-linear world, the way they direct policy towards implementing indicators (rather than identifying and solving problems). It is suggested that big data revolution will allow the emergence of a new measurement tools that will replace innovation indices.
机译:有关创新指数(记分板)的讨论的特定质量是,从纯粹的技术角度来看,处理该主题的频率更高。这种狭narrow的方法默默地假设用作政策工具的指标是对现象的准确反映,不应受到质疑,并且有关这些指标的整个讨论应参考方法论方面的内容,最好由统计学家来决定。作者认为,为了准确评估作为政策工具的指数价值,有必要从更广泛的角度以及生成和使用此类指数的背景下考虑此问题。本文提出了这样的论点,即科学和创新政策研究的进展取决于各种问题,方法和观点。在这种情况下,保持主题和方法的多样性可能比创建连贯和封闭的分析工具(即指标)更为重要。索引的优点是它们将注意力集中在那些被认为是关键的变量上。但是,它们的缺点之一是其高度抽象的性质(为了理解与创新相关的现象,有必要以有形的,综合的形式对其进行研究);他们倾向于跳过无法衡量的决定因素;他们事先接受了创新的定义和概念(而不是寻找它们);他们对各个国家和地区应用单一标准的方式,在复杂和非线性的世界中假设的线性和因果关系,将政策导向指标实施的方式(而不是识别和解决问题)。建议大数据革命将允许出现一种新的测量工具,该工具将替代创新指标。

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