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This paper examines the response to the UK's version of the second European community innovation survey (CIS-2) to investigate the patterns of co-operation between innovating firms and external partners.
The analyses draw on data from a recent innovation survey.
Since knowledge spillovers are unmeasurable, a 'goodness of fit' measure is constructed using innovation survey data.
The empirical analysis is based on linked public register and innovation survey data for Norway.
The sample used in this research is drawn from the Taiwanese Technological Innovation Survey (TTIS) database.
Our empirical analysis is based on the German Community Innovation Survey (CIS).
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We use the data from the Survey of Innovation and Patent Use and the Community Innovation Survey (CIS6) in the UK to assess the empirical support for the distinct predictions of these theories.
Our analysis rests on the German data from the Europe-wide Community Innovation Survey CISSurvey CIS
We examine the determinants of firms' innovation success, using the firm-level data from the Japanese National Innovation Survey.
In order to capture innovation in both manufacturing and services the paper relies on a broader proxy for firm innovativeness based on the Community Innovation Survey CISS).
The data were drawn from the Thai Community Innovation Survey in the period after which a major change in the country's innovation system policy had been initiated.
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