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). pp. 59-76.
Agency and Structure_CMOT49.pdf
Available under License : See the attached licence file.
Plain Text (licence)
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.
|Divisions :||Faculty of Arts and Social Sciences > Department of Sociology > Centre for Research in Social Simulation (CRESS)|
|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 www.springerlink.com|
|Depositing User :||Symplectic Elements|
|Date Deposited :||24 Nov 2011 16:49|
|Last Modified :||23 Sep 2013 18:53|
Actions (login required)
Downloads per month over past year