Abstract
Our research sought to contribute to structuration theory through examining the structural properties of networks under differing levels of complexity. Simulations were used to model the dynamics of university science departments as they link with others in competing for national grants. Research Assessment Exercise (UK) grant and other research data were used to interpret the structural forms observed. Simulations revealed the network structures that form as a consequence of the increasing complexity of grant requirements and imperatives to improve RAE rankings. Our findings suggest that for those with limited resources, resource specialisation can be an effective strategy to link with others and build market position. This strategy has value for others competing in a complex and inimitable market, and therefore facilitates network formation. In this context it is the comparative advantage of the network and its structural properties that can create improved market position.
Original language | English |
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Pages (from-to) | 1-28 |
Number of pages | 28 |
Journal | Emergence: Complexity & Organization |
Volume | 16 |
Issue number | 2 |
Publication status | Published - 2014 |