NDLI: The rhythms of high technology firms: nonlinear dynamics and strategic analysis

Content Provider	IEEE Xplore Digital Library
Author	Daneke, G.A.
Copyright Year	1999
Description	Author affiliation: Arizona State Univ., Mesa, AZ, USA (Daneke, G.A.)
Abstract	Summary form only given as follows. The focus of this discussion is the implications (both theoretical and practical) of a new generation of tools and concepts derived from advances in nonlinear dynamical systems (e.g. chaos and complexity of studies). Primary among these tools are simulations involving "artificial agents" who learn and adapt through processes represented by "genetic algorithms" and "cellular automata". These tools in the hands of students of strategic management offer a direct challenge to the dominance of neo-classical economic theory in game theoretic or industrial organization approaches to strategic choice of high tech firms. While nonlinear simulations have been limited thus far to a narrow range of specific issues, the ramifications are far reaching. For example, studies of systematic learning (using annealing and/or co-evolving automata) merely assumed to prevail. In competitive (i.e. Nash) solutions. As one theorist explained "they provide an artificial reality check for economists". Moreover, the explorations of these nonlinear dynamics at the level of firms as well as entire industries, explicate curious processes, such as technological "lock-in" and "lock-out" which are currently merely represented as "network externalities". These analytics also signal a firm when and whether to enter the heretofore intractable dominant design contest.
File Size	97607
File Format	PDF
ISBN	1890843024
DOI	10.1109/PICMET.1999.808937
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Portland Int. Conf. on Management of Eng. & Techno
Subject Keyword	Rhythm Nonlinear dynamical systems Chaos Game theory Industrial economics Toy industry Annealing Learning automata Signal analysis Signal design
Content Type	Text
Resource Type	Article

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