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Measuring innovative performance: is there an advantage in using multiple indicators?

Research Policy · 2003 · Vol. 32(8) · pp. 1365–1379
John HagedoornMyriam Cloodt

Abstract

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.

Innovation and Knowledge ManagementIntellectual Property and PatentsInnovation Policy and R&DVariety (cybernetics)Performance indicatorSample (material)Construct (python library)BusinessProduct (mathematics)Set (abstract data type)Composite indicatorEconometricsLatent variable

Funding

  • Technische Universiteit Eindhoven
Citations
1,537
FWCI
42.54
field-weighted impact
References
82
Percentile
100%
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References
Knowledge Transfer in International Acquisitions
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Citation Frequency and the Value of Patented Inventions
The Review of Economics and Statistics · 1999 · 1,526 citations
Measuring Competence? Exploring Firm Effects in Pharmaceutical Research
Strategic Management Journal · 1994 · 2,625 citations
An Evolutionary Theory of Economic Change.
The Economic Journal · 1983 · 21,725 citations
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