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How Do Communication Structures Shape The Process Of Knowledge Transfer? - An Agent-Based Model

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  • Widad Guechtouli

    ()
    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - Ecole des Hautes Etudes en Sciences Sociales (EHESS) - CNRS : UMR6579)

Abstract

Knowledge diffusion is a complex process. Knowledge is intangible and therefore is not easy to capitalize within an organization, or share between a set of individuals. The aim of this paper is to study the impact of two different structures of communication on both processes of knowledge transfer and individual learning, in the context of a community of practice. We will specifically compare two types of communication structures (through face-to-face interactions and through a forum) by using agent-based models. Results show that each structure has a different impact on individual learning and knowledge transfer. Though, communication through face-to-face interactions seems to make individuals learn slower than on a web forum. Conclusions are widely discussed.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number halshs-00349033.

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Date of creation: 22 Dec 2008
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Handle: RePEc:hal:wpaper:halshs-00349033

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Related research

Keywords: knowledge; communication structure; communities of practice; agent-based models;

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  1. Bala, Venkatesh & Goyal, Sanjeev, 1998. "Learning from Neighbours," Review of Economic Studies, Wiley Blackwell, vol. 65(3), pages 595-621, July.
  2. Boyer, Tristan & Jonard, Nicolas, 2010. "Imitation and Efficient Contagion," MPRA Paper 23430, University Library of Munich, Germany.
  3. Thomas Brenner, 2004. "Agent Learning Representation - Advice in Modelling Economic Learning," Papers on Economics and Evolution 2004-16, Max Planck Institute of Economics, Evolutionary Economics Group.
  4. Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
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