The Evolutionary Dynamics of Discursive Knowledge

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Leydesdorff Loet, "The Evolutionary Dynamics of Discursive Knowledge", Springer Nature, 2021, DOI: 10.1007/978-3-030-59951-5, License: http://creativecommons.org/licenses/by/4.0/

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.

Keywords

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

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