Learing Induced Criticality In Consumers' Adoption Pattern: A Neural Network Approach
AbstractThe aim of this paper is to lay the foundations of 3 social influence based approach for the diffusion of an innovation or a technological standard. A model built on the principles of a neural network is proposed and a learning procedure is set up, making the network formation endogenous, the strength of connections among agents being determined by their shared histories, Referring to the concept of criticality developed by physicists, it shall be shown that learning, in a social structure, can lead the network to a critical state, called 'learning induced criticality, where some agents are able to exert a macroscopic influence over the network. The distribution of influence spheres' size follows a Pareto law. This approach shows an interesting similatry with that of the social coherence in sociology, whereby individuals within a social structure are led to share a close assessment of a given innovation.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.
Volume (Year): 6 (1998)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.tandfonline.com/GEIN20
Other versions of this item:
- Plouraboue, F. & Steyer, A. & Zimmermann, J.B., 1996. "Learning Induced Criticality in Consumers' Adoption Pattern: A Neural Network Approach," G.R.E.Q.A.M. 96a28, Universite Aix-Marseille III.
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Rossi, Federica, 2002. "An introductory overview of innovation studies," MPRA Paper 9106, University Library of Munich, Germany, revised Jun 2008.
- R. Cowan & N. Jonard & J.-B. Zimmermann, 2006.
"Evolving networks of inventors,"
Journal of Evolutionary Economics,
Springer, vol. 16(1), pages 155-174, April.
- Deroian, Frederic, 2002. "Formation of social networks and diffusion of innovations," Research Policy, Elsevier, vol. 31(5), pages 835-846, July.
- Cowan,Robin, 2004. "Network models of innovation and knowledge diffusion," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
- Carayol, Nicolas & Dalle, Jean-Michel, 2007. "Sequential problem choice and the reward system in Open Science," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 167-191, June.
- Schade, Sven & Buxmann, Peter, 2005. "A Prototype to Analyse and Support Standardization Decisions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35795, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Nicolas Carayol & Jean-Michel Dalle, 2003. "The ‘problem of problem choice’: A model of sequential knowledge production within scientific communities cientific communities," Working Papers of BETA 2003-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
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.