多样性(控制论)
绩效指标
样品(材料)
构造(python库)
产品(数学)
集合(抽象数据类型)
综合指标
业务
计量经济学
潜变量
度量(数据仓库)
变量(数学)
营销
产业组织
计算机科学
统计
经济
数学
数据挖掘
数学分析
色谱法
化学
程序设计语言
几何学
作者
John Hagedoorn,Myriam Cloodt
出处
期刊:Research Policy
[Elsevier]
日期:2003-09-01
卷期号:32 (8): 1365-1379
被引量:1231
标识
DOI:10.1016/s0048-7333(02)00137-3
摘要
The innovative performance of companies has been studied quite extensively and for a long period of time. However, the results of many studies have not yet led to a generally accepted indicator of innovative performance or a common set of indicators. So far the variety in terms of constructs, measurements, samples, industries and countries has been substantial. This paper studies the innovative performance of a large international sample of nearly 1200 companies in four high-tech industries, using a variety of indicators. These indicators range from R&D inputs, patent counts and patent citations to new product announcements. The study establishes that a composite construct based on these four indicators clearly catches a latent variable ‘innovative performance’. However, our findings also suggest that the statistical overlap between these indicators is that strong that future research might also consider using any of these indicators to measure the innovative performance of companies in high-tech industries.
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