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      Phenomenological Turbulence and Innovation in Knowledge Systems

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            Abstract

            Most considerations of knowledge management focus on corporations and, until recently, considered knowledge to be objective, stable, and asocial. In this paper we wish to move the focus away from corporations, and examine knowledge and national innovation systems. We argue that the knowledge systems in which innovation takes place are phenomenologically turbulent, a state not made explicit in the change, innovation and socio-economic studies of knowledge literature, and that this omission poses a serious limitation to the successful analysis of innovation and knowledge systems. To address this lack we suggest that three evolutionary processes must be considered: self-referencing, self-transformation and self-organisation. These processes, acting simultaneously, enable system cohesion, radical innovation and adaptation. More specifically, we argue that in knowledge-based economies the high levels of phenomenological turbulence drives these processes. Finally, we spell out important policy principles that derive from these processes.

            Content

            Author and article information

            Journal
            cpro20
            CPRO
            Prometheus
            Critical Studies in Innovation
            Pluto Journals
            0810-9028
            1470-1030
            June 2003
            : 21
            : 2
            : 231-245
            Article
            10032492 Prometheus, Vol. 21, No. 2, June 2003, pp. 231-245
            10.1080/08109020308127
            572949d6-f9c8-427a-8f31-4e3568003206
            Copyright Taylor & Francis Group, LLC

            All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.

            History
            Page count
            Figures: 0, Tables: 0, References: 43, Pages: 15
            Categories
            Original Articles

            Computer science,Arts,Social & Behavioral Sciences,Law,History,Economics
            Self-organisation,Knowledge Systems,Public Policy,Knowledge Management,Self-referencing,Self-transformation,Complexity Theory

            References

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