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Agency and structure: a social simulation of knowledge-intensive industries

Ahrweiler, P, Gilbert, N and Pyka, A (2011) Agency and structure: a social simulation of knowledge-intensive industries Computational and Mathematical Organization Theory, 17 (1). 59 - 76. ISSN 1381-298X

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Modern knowledge-intensive economies are complex social systems where intertwining factors are responsible for the shaping of emerging industries: the self-organising interaction patterns and strategies of the individual actors (an agency-oriented pattern) and the institutional frameworks of different innovation systems (a structure-oriented pattern). In this paper, we examine the relative primacy of the two patterns in the development of innovation networks, and find that both are important. In order to investigate the relative significance of strategic decision making by innovation network actors and the roles played by national institutional settings, we use an agent-based model of knowledge-intensive innovation networks, SKIN. We experiment with the simulation of different actor strategies and different access conditions to capital in order to study the resulting effects on innovation performance and size of the industry. Our analysis suggests that actors are able to compensate for structural limitations through strategic collaborations. The implications for public policy are outlined.

Item Type: Article
Divisions : Faculty of Arts and Human Sciences > Sociology > Centre for Research in Social Simulation (CRESS)
Authors :
Date : March 2011
Identification Number : 10.1007/s10588-010-9081-3
Uncontrolled Keywords : Innovation networks, Agent-based social simulation, Innovation systems, INNOVATION, FIRM
Related URLs :
Additional Information : ©Springer. The final publication is available at
Depositing User : Symplectic Elements
Date Deposited : 24 Nov 2011 16:49
Last Modified : 23 Sep 2013 18:53

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