Innovation as an Emerging System Property: An Agent Based Simulation Model
AbstractThe paper elaborates the notion of innovation as an emerging property of complex system dynamics and presents an agent-based simulation model (ABM) of an economy where systemic knowledge interactions among heterogeneous agents are crucial for the recombinant generation of new technological knowledge and the introduction of innovations. In this approach the organization of the system plays a crucial role in assessing the chances of individual firms to actually introduce innovations because it qualifies the access to external knowledge, an indispensable input, together with internal learning and research activities, into the recombinant generation of new knowledge. The introduction of innovations is analyzed as the result of systemic knowledge interactions among myopic agents that are credited with an extended procedural rationality that includes forms of creative reaction. The creative reaction of agents may lead to the introduction of productivity enhancing innovations. This takes place only when the structural, organizational and institutional characteristics of the system are such that agents, reacting to out-of-equilibrium conditions, can actually take advantage of external knowledge available within the innovation system into which they are embedded to generate new technological knowledge. The ABM enables one to explore effects of alternative organizational features of the systems, namely different configurations of the intellectual property right regimes and different architectural configurations of the regional structure into which knowledge interactions take place, on the rates of introduction of technological innovations. The results of the ABM suggest that the dissemination of knowledge favors the emergence of creative reactions and hence faster rates of introduction of technological innovations.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.
Volume (Year): 14 (2011)
Issue (Month): 2 ()
Contact details of provider:
Complex System Dynamics; Innovation; Emergent Property; Technological Knowledge; Intellectual Property Rights; Knowledge Dissemination;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Claudine Gay & William Latham & Christian Le Bas, 2008. "Collective Knowledge, Prolific Inventors And The Value Of Inventions: An Empirical Study Of French, German And British Patents In The Us, 1975-1999," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(1-2), pages 5-22.
- Cristiano Antonelli & Giuseppe Scellato, 2011.
"Out-of-equilibrium profit and innovation,"
Economics of Innovation and New Technology,
Taylor & Francis Journals, vol. 20(5), pages 405-421.
- Antonelli, Cristiano & Scellato, Giuseppe, 2008. "Out of Equilibrium Profit and Innovation," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200804, University of Turin.
- Cristiano Antonelli & Giuseppe Scellato, 2009. "Out of Equilibrium Profit and Innovation," Levine's Working Paper Archive 814577000000000071, David K. Levine.
- R. Cowan & N. Jonard & J.-B. Zimmermann, 2006.
"Evolving networks of inventors,"
Journal of Evolutionary Economics,
Springer, vol. 16(1), pages 155-174, April.
- David, Paul & Aghion, Philippe, 2008.
"Science, Technology and Innovation for Economic Growth: Linking Policy Research and Practice in "STIG Systems","
12096, University Library of Munich, Germany.
- Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009. "Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems'," Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
- Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
- Paul David & Louise Keely, 2003. "The endogenous formation of scientific research coalitions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(1), pages 93-116.
- Cristiano Antonelli & Pier Paolo Patrucco & Francesco Quatraro, 2011.
"Productivity Growth and Pecuniary Knowledge Externalities: An Empirical Analysis of Agglomeration Economies in European Regions,"
Clark University, vol. 87(1), pages 23-50, January.
- Cristiano Antonelli & Pier Paolo Patrucco & Francesco Quatraro, 2011. "Productivity Growth and Pecuniary Knowledge Externalities: An Empirical Analysis of Agglomeration Economies in European Regions," Post-Print halshs-00727606, HAL.
- Andreas Pyka & Claudia Werker, 2009. "The Methodology of Simulation Models: Chances and Risks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1.
- Antonelli, Cristiano, 2013. "The Economic Complexity of Innovation as a Creative Response," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201326, University of Turin.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nigel Gilbert).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.