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The Evolutionary Dynamics of Discursive Knowledge

The Evolutionary Dynamics of Discursive Knowledge

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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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Keywords

  • A calculus of redundancy
  • anticipatory systems
  • Biotechnology
  • Business & management
  • Communication Studies
  • Economics, finance, business & management
  • entropy statistics
  • horizons of meaning
  • Interdisciplinary Studies
  • Knowledge - Discourse
  • Language
  • Linguistics
  • market research
  • Market Research/Competitive Intelligence
  • Marketing
  • Media and Communication
  • neo-evolutionary
  • open access
  • operationalisation and measurement
  • Reference, information & interdisciplinary subjects
  • research methodology
  • Sales & marketing
  • Semantics
  • Semantics, discourse analysis, etc
  • Semantics, discourse analysis, stylistics
  • Social research & statistics
  • social-systems theory
  • Society & Social Sciences
  • Sociological Methods
  • Sociology
  • Sociology & anthropology
  • Triple-Helix synergy

Links

DOI: 10.1007/978-3-030-59951-5

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