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dc.contributor.authorLeydesdorff, Loet
dc.date.accessioned2002-08-06T00:00:01Z
dc.date.available2010-06-18T23:19:24Z
dc.date.issued2001en_US
dc.date.submitted2002-08-06en_US
dc.identifier.citationKnowledge-Based Innovation Systems and the Model of a Triple Helix of University-Industry-Government Relations 2001,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105101
dc.description.abstractThe (neo-)evolutionary model of a Triple Helix of University-Industry-Government Relations focuses on the overlay of expectations, communications, and interactions that potentially feed back on the institutional arrangements among the carrying agencies. From this perspective, the evolutionary perspective in economics can be complemented with the reflexive turn from sociology. The combination provides a richer understanding of how knowledge-based systems of innovation are shaped and reconstructed. The communicative capacities of the carrying agents become crucial to the systemâ s further development, whereas the institutional arrangements (e.g., national systems) can be expected to remain under reconstruction. The tension of the differentiation no longer needs to be resolved, since the network configurations are reproduced by means of translations among historically changing codes. Some methodological and epistemological implications for studying innovation systems are explicated.
dc.format.mimetypetext/htmlen_US
dc.language.isoenen_US
dc.subjectScience Technology Studiesen_US
dc.subject.otherinnovationen_US
dc.subject.otherknowledge-based systemsen_US
dc.subject.othernational systemsen_US
dc.subject.othertranslationen_US
dc.subject.othertriple helixen_US
dc.titleKnowledge-Based Innovation Systems and the Model of a Triple Helix of University-Industry-Government Relationsen_US
dc.typeConference Paperen_US
refterms.dateFOA2018-08-20T06:14:08Z
html.description.abstractThe (neo-)evolutionary model of a Triple Helix of University-Industry-Government Relations focuses on the overlay of expectations, communications, and interactions that potentially feed back on the institutional arrangements among the carrying agencies. From this perspective, the evolutionary perspective in economics can be complemented with the reflexive turn from sociology. The combination provides a richer understanding of how knowledge-based systems of innovation are shaped and reconstructed. The communicative capacities of the carrying agents become crucial to the systemâ s further development, whereas the institutional arrangements (e.g., national systems) can be expected to remain under reconstruction. The tension of the differentiation no longer needs to be resolved, since the network configurations are reproduced by means of translations among historically changing codes. Some methodological and epistemological implications for studying innovation systems are explicated.


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