- We will send in 10–14 business days.
/images/books/12982942/9783030599508.jpg)
- Author: Loet Leydesdorff
- Publisher: Springer
- ISBN-10: 3030599507
- ISBN-13: 9783030599508
- Format: 15.6 x 23.4 x 1.6 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
The Evolutionary Dynamics of Discursive Knowledge (e-book) (used book) | bookbook.eu
Reviews
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 19d.21:58:50
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Loet Leydesdorff
- Publisher: Springer
- ISBN-10: 3030599507
- ISBN-13: 9783030599508
- Format: 15.6 x 23.4 x 1.6 cm, hardcover
- Language: English English
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.
Reviews