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Learning in a community of practice: Complete vs. incomplete information

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  • Widad Guechtouli

Abstract

This paper is a contribution to the modelling of interactions within social networks. We use an agentbased model to explore the learning process, in a particular form of social network: a community of practice. It is based on an empirical study, made in a research centre in France. We shed light on the importance of two parameters in learning in communities: the availability of the community members, and the information they have about their neighbourhood. The first parameter represents their willingness and engagement in the development of their community, whereas the second one gives us an idea on agents’ ability to build a correct shared representation of the competencies of the other agents. We lead two sets of simulations, simulations with complete information and simulations with incomplete information.

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Bibliographic Info

Paper provided by Department of Research, Ipag Business School in its series Working Papers with number 2014-176.

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Length: 15 pages
Date of creation: 25 Feb 2014
Date of revision:
Handle: RePEc:ipg:wpaper:2014-176

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Keywords: learning; interaction; competencies; community of practice; agent-based model.;

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  1. Olivier DUPOUËT (BETA UMR CNRS 7522) & Murat YILDIZOGLU (IFReDE-E3i), 2003. "Organizational performance in hierarchies and communities of practice," Cahiers du GRES, Groupement de Recherches Economiques et Sociales 2003-06, Groupement de Recherches Economiques et Sociales.
  2. Tristan Boyer & Nicolas Jonard, 2010. "Imitation and Efficient Contagion," CREA Discussion Paper Series 10-03, Center for Research in Economic Analysis, University of Luxembourg.
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