Measuring and Evaluating Science—Technology Connections and Interactions

Tijssen, Robert

doi:10.1007/1-4020-2755-9_32

Cited by 28 publications

(17 citation statements)

References 40 publications

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“…Several methodological approaches have been developed to explore the links between science and technology symbolised by university inventors or 'inventor-authors' -knowledge generators who both publish and patent (e.g. TIJSSEN, 2004;MEYER et al, 2003, COWARD & FRANKLIN, 1989.…”

Section: Scope Of This Researchmentioning

confidence: 99%

Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway

2007

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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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Section: Scope Of This Researchmentioning

confidence: 99%

Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway

2007

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“…The logic of these references is to document the material that is held against the application. Based on this metrics, a taxonomy of industries based on the dependence on science can be developed (Grupp 1992;Heinze and Schmoch 2004;Tijssen 2004). …”

Section: Literature Background On Science-technology Interactionsmentioning

confidence: 99%

Institutional complementarity and inventive performance in nano science and technology

2007

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Academics and policy makers are questioning about the relation between science and technology in the emerging field of nano science and technology (NST) and the effectiveness of different institutional regimes. We analyze the performance of inventors in the NST using multiple indicators. We clustered patents in three groups according to the scientific curricula of the inventors. The first two groups are composed by patents whose inventors all are authors of at least one scientific publication in the NST or none of them have obtained a scientific publication in that field respectively. Thirdly, we isolated those patents that have at least one inventor, who is also author of at least one scientific publication in the NST. The underlining presumption of this classification is that of a proxy of different institutional complementarities of the inventive collective action in NST.

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“…The logic of these references is to support the claims that are made in the application. Researchers have used patent citations to develop a taxonomy of industries (Grupp 1992;Heinze and Schmoch 2004;Tijssen 2004) and to document the networks of patents (Popp 2005;Verspagen 2005). The theoretical motivation for developing temporal patent networks is to grasp how knowledge develops and evolves over time.…”

Section: Methodological Motivationmentioning

confidence: 99%

Cross-Pollination in Science and Technology: Concept Mobility in the Nanobiotechnology Field

Grodal¹,

Thoma²

2014

Annals of Economics and Statistics

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Recombination lies at the heart of many innovative processes. It is thus no surprise that a plethora of studies have investigated the impact of cross-pollination on innovation. Yet, these studies have only investigated how cross-pollination affects the creation of innovations, while overlooking how cross-pollination might influence their diffusion. Furthermore, these studies have investigated cross-pollination at the level of the individual, team or through case-studies of individual technologies while assuming that cross-pollination occurred between innovative ideas that these individuals possess. In order to address these gaps in the literature in this paper we move the unit of analysis to the level of the individual concept, and investigate how cross-pollination influences concept mobility. Our setting is the cross-pollination of concepts between nanotechnology and biotechnology, which yielded the new subfield nanobiotechnology. Drawing on a large dataset of publications, patents and press-releases between 1991 and 2005 we track how 133,128 concepts move from science to technology and commercialization. We find strong support for the hypothesis that crosspollination facilitates concept mobility. Scientists who reside in commercial firms generally assist the mobility of concepts, but hinder the mobility of cross-pollinated concepts. Furthermore, if a patent contains cross-pollinated concepts it is more valuable. This paper contributes to our understanding of how cross-pollination influences the mobility of concepts between institutional contexts, and thus augments our understanding of the commercialization process. We also detail the growth patterns of the emerging nanobiotechnology field.

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Measuring and Evaluating Science—Technology Connections and Interactions

Cited by 28 publications

References 40 publications

Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway

Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway

Institutional complementarity and inventive performance in nano science and technology

Cross-Pollination in Science and Technology: Concept Mobility in the Nanobiotechnology Field

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