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Computer modelling reveals the optimal development for the organisational structure of business clusters

Computer modelling reveals the optimal development for the organisational structure of business... Science and technology parks (STPs) foster innovation between firms inhabiting the cluster. Networking channels are considered as integral parts of the knowledge exchange process, and therefore the innovation process. We simulated three organisational topologies for STPs; firstly, in the star model all are connected to the cluster initiative (CI), secondly the strongly connected model, when all are connected to each other, and finally the randomly connected model, where the network follows no centralised topology. Analyses used adjacency matrixes and Monte-Carlo simulation, trading transaction (networking) costs against knowledge benefit. Results show that star topology is the most efficient form from the cost perspective, and this is especially the case for start-up STPs. Later, when the cost of knowledge transformation is lowered, then the strongly connected model becomes the most efficient topology, but this transition to high transaction costs is very risky if direct ties do not quickly result in tangible benefits. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Knowledge-Based Development Inderscience Publishers

Computer modelling reveals the optimal development for the organisational structure of business clusters

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
2040-4468
eISSN
2040-4476
DOI
10.1504/IJKBD.2019.103215
Publisher site
See Article on Publisher Site

Abstract

Science and technology parks (STPs) foster innovation between firms inhabiting the cluster. Networking channels are considered as integral parts of the knowledge exchange process, and therefore the innovation process. We simulated three organisational topologies for STPs; firstly, in the star model all are connected to the cluster initiative (CI), secondly the strongly connected model, when all are connected to each other, and finally the randomly connected model, where the network follows no centralised topology. Analyses used adjacency matrixes and Monte-Carlo simulation, trading transaction (networking) costs against knowledge benefit. Results show that star topology is the most efficient form from the cost perspective, and this is especially the case for start-up STPs. Later, when the cost of knowledge transformation is lowered, then the strongly connected model becomes the most efficient topology, but this transition to high transaction costs is very risky if direct ties do not quickly result in tangible benefits.

Journal

International Journal of Knowledge-Based DevelopmentInderscience Publishers

Published: Jan 1, 2019

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