How Do Communication Structures Shape The Process Of Knowledge Transfer? - An Agent-Based Model
AbstractKnowledge 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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Date of creation: 22 Dec 2008
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knowledge; communication structure; communities of practice; agent-based models;
Other versions of this item:
- Widad Guechtouli, 2014. "How do communication structures shape the process of knowledge transfer? An agent-based model," Working Papers 2014-177, Department of Research, Ipag Business School.
- NEP-ALL-2009-01-03 (All new papers)
- NEP-CBE-2009-01-03 (Cognitive & Behavioural Economics)
- NEP-CMP-2009-01-03 (Computational Economics)
- NEP-KNM-2009-01-03 (Knowledge Management & Knowledge Economy)
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- Bala, Venkatesh & Goyal, Sanjeev, 1998.
"Learning from Neighbours,"
Review of Economic Studies,
Wiley Blackwell, vol. 65(3), pages 595-621, July.
- Boyer, Tristan & Jonard, Nicolas, 2010.
"Imitation and Efficient Contagion,"
23430, University Library of Munich, Germany.
- Tristan Boyer & Nicolas Jonard, 2010. "Imitation and Efficient Contagion," CREA Discussion Paper Series 10-03, Center for Research in Economic Analysis, University of Luxembourg.
- Tristan Boyer & Nicolas Jonard, 2014. "Imitation and Efficient Contagion," Working Papers 2014-052, Department of Research, Ipag Business School.
- 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.
- Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947 Elsevier.
- 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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