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.Complexity Theory, Knowledge Management, Knowledge Systems, Public Policy, Self-organisation, Self-referencing, Self-transformation,
We propose a theory of innovation in services based upon the development of new markets that exploit the powers of ICT to coordinate service production and delivery. As digital communications and computational infrastructure have developed over the past few decades, the scale and scope of the service sector has also evolved such that it is now, we believe, in the midst of a productivity revolution driven by the ICT enabled decomposition of services to their elemental parts and the subsequent gains through specialization and reintegration of these elements. This works to advance existing services and create new services, and so to drive the growth of economic activity. In this paper, we propose a theory of this evolutionary process.innovation, services, knowledge economy, ICT, industrial dynamics, complex systems,
Introduces the information theoretic or economics of information approach, shows how this relates to innovation and illustrates an example of an information economics model of innovation. Attempts to demonstrate that an information economics perspective, both generally and in the context of a simple model, improves understanding of and provides new insights into innovation, compared to a more conventional economic approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.