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The Evolutionary Dynamics of Discursive Knowledge

Loet Leydesdorff - Personal Name;

This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.


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Detail Information
Series Title
Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
Call Number
X, 247
Publisher
Springer Cham : Springer Cham., 978-3-030-59951-5
Collation
-
Language
English
ISBN/ISSN
978-3-030-59951-5
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
1
Subject(s)
Semantics
Research Methodology,
Specific Detail Info
-
Statement of Responsibility
Loet Leydesdorff
Other Information
Cataloger
-
Source
https://link.springer.com/book/10.1007/978-3-030-59951-5
Validator
Suwardi
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-030-59951-5
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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No other version available

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  • The Evolutionary Dynamics of Discursive Knowledge
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