A new model for university-industry links in knowledge-based economies
Ahrweiler, P, Pyka, A and Gilbert, N (2011) A new model for university-industry links in knowledge-based economies Journal of Product Innovation Management, 28 (2). pp. 218-235.
Gilbert2011.pdf - Accepted version Manuscript
Available under License : See the attached licence file.
In this paper, we apply the agent-based SKIN model (Simulating Knowledge Dynamics in Innovation Networks) to university-industry links. The model builds on empirical research about innovation networks in knowledge-intensive industries with procedures relying on theoretical frameworks of innovation economics and economic sociology. Our experiments compare innovation networks with and without university agents. Results show that having universities in the co-operating population of actors raises the competence level of the whole population, increases the variety of knowledge among the firms, and increases innovation diffusion in terms of quantity and speed. Furthermore, firms interacting with universities are more attractive for other firms when new partnerships are considered. These results can be validated against empirical findings. The simulation confirms that university-industry links improve the conditions for innovation diffusion and enhance collaborative arrangements in innovation networks.
|Divisions :||Faculty of Arts and Social Sciences
Faculty of Arts and Social Sciences > Department of Sociology
|Date :||11 February 2011|
|Identification Number :||https://doi.org/10.1111/j.1540-5885.2010.00793.x|
|Related URLs :|
|Additional Information :||This is the peer reviewed version of the following article: Ahrweiler, P, Pyka, A and Gilbert, N (2011) A new model for university-industry links in knowledge-based economies. Journal of Product Innovation Management, 28 (2). 218 - 235, which has been published in final form at http://dx.doi.org/10.1111/j.1540-5885.2010.00793.x This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.|
|Depositing User :||Lu Yang|
|Date Deposited :||17 Feb 2011 12:27|
|Last Modified :||26 Jul 2016 10:02|
Actions (login required)
Downloads per month over past year