We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Complexity in discrete innovation systems.
- Authors
Hirooka, Masaaki
- Abstract
We have developed a unique procedure for analyzing innovation dynamism that uses a logistic equation. This paper is a trial to clarify the complexity of innovation systems using this procedure. The innovation paradigm comprises three logistic trajectories: technology, development, and diffusion, in this order. The nonlinear nature of these trajectories has revealed various interesting characteristics of innovations. For the electronics innovation paradigm, the development trajectory comprises chain fractals of the stepwise development of IC chips, which follows Moore's law. Electronics technologies have been adopted by various industries, and these phenomena have been discussed as 'technology fusion', by which fusion trajectories are clustered along the electronics development trajectory per se, forming a bundle fractal. For the development trajectories of computer, electronics, and multimedia, various elementary technological systems emerge as system fractals. The innovation paradigm is a kind of discrete system formed by knowledge transfer from person to person. That is, it is a kind of complex system, and the self-organization mechanism has been observed. The trajectory formation itself is ascribed to a kind of self-organization resulting in a deterministic locus. The diffusions of innovations gather along the upswing of a Kondratiev cycle forming a bundle fractal; cluster formation is also explained by a self-organization mechanism. The discrete system of innovation is discussed in terms of logistic mapping and an important correlation with fractal formation is mathematically revealed.
- Subjects
TECHNOLOGICAL innovations; ELECTRONICS; MULTIMEDIA systems; INTEGRATED circuits; ORGANIZATION
- Publication
Emergence: Complexity & Organization, 2006, Vol 8, Issue 2, p20
- ISSN
1521-3250
- Publication type
Article