Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue

Persistent Link:
http://hdl.handle.net/10150/106092
Title:
Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue
Author:
Leydesdorff, Loet; Meyer, Martin
Citation:
Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue 2006-07,
Issue Date:
Jul-2006
URI:
http://hdl.handle.net/10150/106092
Submitted date:
2006-07-19
Abstract:
When two selection environments operate upon each other, mutual shaping in a co-evolution along a particular trajectory is one possible outcome. When three selection environments are involved, more complex dynamics can be expected as a result of interactions involving bi-lateral and tri-lateral relations. Three selection environments are specified in the Triple Helix model: (1) wealth generation (industry), (2) novelty production (academia), and (3) public control (government). Furthermore, this model somewhat reduces the complexity by using university-industry-government relations for the specification of the historical conditions of the non-linear dynamics. Whereas the historical analysis informs us about how institutions and institutional arrangements carry certain functions, the evolutionary analysis focuses on the functions of selection environments in terms of outputs. One can no longer expect a one-to-one correspondence between institutions and functions; a statistics is needed for the evaluation of how, for how long, and to what extent institutional arrangements enhance synergies among different selection environments. The empirical contributions to this Triple Helix issue point in the direction of â rich ecologiesâ : the construction of careful balances between differentiation and integration among the three functions.
Type:
Preprint
Language:
en
Keywords:
Information Science
Local subject classification:
Triple helix; Innovation; Indicator; Trajectory; Non-linear

Full metadata record

DC FieldValue Language
dc.contributor.authorLeydesdorff, Loeten_US
dc.contributor.authorMeyer, Martinen_US
dc.date.accessioned2006-07-19T00:00:01Z-
dc.date.available2010-06-18T23:39:35Z-
dc.date.issued2006-07en_US
dc.date.submitted2006-07-19en_US
dc.identifier.citationTriple Helix indicators of knowledge-based innovation systems: Introduction to the special issue 2006-07,en_US
dc.identifier.urihttp://hdl.handle.net/10150/106092-
dc.description.abstractWhen two selection environments operate upon each other, mutual shaping in a co-evolution along a particular trajectory is one possible outcome. When three selection environments are involved, more complex dynamics can be expected as a result of interactions involving bi-lateral and tri-lateral relations. Three selection environments are specified in the Triple Helix model: (1) wealth generation (industry), (2) novelty production (academia), and (3) public control (government). Furthermore, this model somewhat reduces the complexity by using university-industry-government relations for the specification of the historical conditions of the non-linear dynamics. Whereas the historical analysis informs us about how institutions and institutional arrangements carry certain functions, the evolutionary analysis focuses on the functions of selection environments in terms of outputs. One can no longer expect a one-to-one correspondence between institutions and functions; a statistics is needed for the evaluation of how, for how long, and to what extent institutional arrangements enhance synergies among different selection environments. The empirical contributions to this Triple Helix issue point in the direction of â rich ecologiesâ : the construction of careful balances between differentiation and integration among the three functions.en_US
dc.format.mimetypehtmen_US
dc.language.isoenen_US
dc.subjectInformation Scienceen_US
dc.subject.otherTriple helixen_US
dc.subject.otherInnovationen_US
dc.subject.otherIndicatoren_US
dc.subject.otherTrajectoryen_US
dc.subject.otherNon-linearen_US
dc.titleTriple Helix indicators of knowledge-based innovation systems: Introduction to the special issueen_US
dc.typePreprinten_US
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