13.07.2015 Views

White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

WHITE SPACES INNOVATION IN SWEDENduction of novelty, to variations never seen be<strong>for</strong>e. Such micro-<strong>in</strong>teractions both susta<strong>in</strong>collective identity and trans<strong>for</strong>m it. This produces the first (spatial) perspective on„emergence‟ where agents <strong>in</strong>teract with each other accord<strong>in</strong>g to local organis<strong>in</strong>g themes(e.g. clusters) that per<strong>for</strong>m the reproduction of the cluster and its transition towardssometh<strong>in</strong>g else.Social processes of <strong>in</strong>teraction between entities explor<strong>in</strong>g variety give rise to transitionso emergence is a sign of such transition. This is unlike structuration theory (Giddens,1985) which has no <strong>in</strong>teraction of diverse entities to energise the process. Complexitytheory says much the same as social constructivism <strong>in</strong> giv<strong>in</strong>g capacity <strong>for</strong> (system)cont<strong>in</strong>uity and transition at the same time. Us<strong>in</strong>g computer simulations, it seeks tomodel evolution as an <strong>in</strong>ternal dynamic express<strong>in</strong>g identity and variety simultaneously.The system has a life of its own, is less susceptible to outside control by „controllers‟ or„designers‟ and is thus perpetually construct<strong>in</strong>g its own future as a process of cont<strong>in</strong>uoustransition.4.3 The Question of Attractors: Higher OrderEmergenceGiven that coherent patterns of order emerge from the self-organisation of <strong>in</strong>teract<strong>in</strong>gagents accord<strong>in</strong>g to local rules (e.g. a cluster) without a global controller or designer,path dependence itself constitutes an attractor of path dependent <strong>in</strong>teraction. Thismeans that strong path dependence on a particular <strong>in</strong>dustry attracts agents to it and repelsor ignores agents that have no cause <strong>for</strong> <strong>in</strong>teraction with it. Such attractors take anumber of „dynamical‟ (or dynamic) <strong>for</strong>ms dependent upon such parameters as theirenergy-flow, their connection density or „connectivity‟ <strong>in</strong> the resilience sense of governancel<strong>in</strong>ks, and the diversity or variety of agents (<strong>in</strong>novative potential, <strong>in</strong> resilienceterms; Folke, 2006). Some attractors are orderly, be<strong>in</strong>g set at a stable or equilibriumpo<strong>in</strong>t. This means they are <strong>in</strong> a high degree of isolation from one another, as might bethe case <strong>in</strong> a regional economy with low related variety clusters (<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>dustry<strong>for</strong>ms, such as oligopolies, that are not clusters <strong>in</strong> the economic geographical sense)thus no impulse to <strong>in</strong>teract. When parameters „go critical,‟ as with a surge or collapse ofenergy, a tension arises between stability and <strong>in</strong>stability. These are attractors that arestable and unstable at the same time or, <strong>in</strong> complexity terms, „on the edge of chaos,‟mean<strong>in</strong>g capable of change <strong>in</strong> some significant way. Chaos theory also talks of „strange‟or fractal attractors <strong>in</strong> this context. This is the po<strong>in</strong>t where agents <strong>in</strong>teract and adapt <strong>in</strong>ways that may result <strong>in</strong> mutation or speciation <strong>in</strong> the presence of diversity or varietyfrom which novel attractors can emerge. This cannot be predicted <strong>in</strong> a physics-like way.Thus attractors are <strong>for</strong>ms of path dependencies and strange attractors are path<strong>in</strong>terdependenciesfrom far from equilibrium agents or clusters that cannot be predicted.New attractors thus arise from this self-organis<strong>in</strong>g process as emergence where stability79

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!