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oapen-20.500.12657-46116
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oapen-20.500.12657-461162021-01-14T03:08:05Z The Evolutionary Dynamics of Discursive Knowledge Leydesdorff, Loet Research Methodology Knowledge - Discourse Communication Studies Market Research/Competitive Intelligence Semantics Sociological Methods Biotechnology Media and Communication Marketing Linguistics Triple-Helix synergy A calculus of redundancy horizons of meaning anticipatory systems operationalisation and measurement neo-evolutionary social-systems theory entropy statistics open access Social research & statistics Sociology Market research Semantics, discourse analysis, stylistics bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTC Communication studies bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJS Sales & marketing::KJSM Market research bic Book Industry Communication::C Language::CF linguistics::CFG Semantics, discourse analysis, etc 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. 2021-01-13T08:56:59Z 2021-01-13T08:56:59Z 2021 book ONIX_20210113_9783030599515_22 https://library.oapen.org/handle/20.500.12657/46116 eng Qualitative and Quantitative Analysis of Scientific and Scholarly Communication application/pdf n/a 2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf https://www.springer.com/9783030599515 Springer Nature Springer 10.1007/978-3-030-59951-5 10.1007/978-3-030-59951-5 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer 247 open access
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OAPEN
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DSpace
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English
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| description |
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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| title |
2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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| spellingShingle |
2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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| title_short |
2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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| title_full |
2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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| title_fullStr |
2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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2021_Book_TheEvolutionaryDynamicsOfDiscu.pdf
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| title_sort |
2021_book_theevolutionarydynamicsofdiscu.pdf
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| publisher |
Springer Nature
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| publishDate |
2021
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| url |
https://www.springer.com/9783030599515
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1771297576841117696
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