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.

PAGES
231 – 245
DOI
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Issues
Also in this issue:
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Agnes Horvath, Magic and the Will to Science: A Political Anthropology of Liminal Technicality
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Gibson Burrell, Ronald Hartz, David Harvie, Geoff Lightfoot, Simon Lilley and Friends, Shaping for Mediocrity: The Cancellation of Critical Thinking at our Universities
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Bas de Boer, How Scientific Instruments Speak: Postphenomenology and Technological Mediations in Neuroscientific Practice
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Bjørn Lomborg, False Alarm
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How does innovation arise in the bicycle sector? The users’ role and their betrayal in the case of the ‘gravel bike’