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  • Author or Editor: Antje Klitkou x
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Abstract  

This paper adds to the growing empirical evidence on the relationship between patenting and publishing among university employees. Data from all Norwegian universities and a broad set of disciplines is used, consisting of confirmed patent inventors and group of peers without patents matched to the inventors by controlling for gender, age, affiliation and position. In general, the findings support earlier investigations concluding that there is a positive relationship between patenting and publishing. There are, however, important differences among fields, universities and possibly types of academic entrepreneurs, underscoring the need to look at nuanced and contextual factors when investigating the effects of patenting.

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Abstract  

As the commercialization of academic research has risen as a target area in many countries, the need for better empirical data collection to evaluate policy changes on this front has increasingly been recognized. This need is exemplified in the Norwegian case where legislative changes went into effect in 2003 expressly to encourage greater commercialization through patenting research results. This policy ambition faces the problem that no record of the patenting activity of academic researchers is available before 2003 when the country’s “professor’s privilege” was phased out. This article addresses the fundamental difficulty of how to empirically test the effect of such policy aims. It develops a methodology which can be used to reliably baseline changes in the extent and focus of academic patents. The purpose is to describe the empirical approach and results, while also providing insight into the changes in Norwegian policy on this front and their context.

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Abstract  

This study explores boundary-crossing networks in fuel-cell science and technology. We use the case of Norwegian fuel cell and related hydrogen research to explore techno-science networks. Standard bibliometric and patent indicators are presented. Then we explore different types of network maps — maps based on co-authorship, co-patenting and co-activity data. Different network configurations occur for each type of map. Actors reach different levels of prominence in the different maps, but most of them are active both in science and technology. This illustrates that to appreciate fully the range of science-technology interplay, all three analyses need to be taken into account.

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