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Titre : |
How Social Network Analysis can improve management of steering communities? |
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Numéro : |
62 |
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Année : |
2019 |
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Volume : |
XXV |
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Auteur(s) : |
Michaël BENEDIC |
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Résumé : |
The purpose of this article is to explore how Social Network Analysis (SNA) tools can improve the management of steering communities. These hybrid collectives, between spontaneous communities and structures controlled by classical hierarchical mechanisms, aim to foster the development of exchanges and knowledge useful to reach organizational objectives. They present specific managerial challenges. It is indeed a matter of succeeding in fostering and steering these collectives without depriving themselves of the richness of community functioning. It is necessary to reconcile some form of self-organization and control and develop identity mechanisms within these intentionally created communities. We consider SNA as a useful method for management to address these issues. SNA is a set of methods aiming at investigating existing relationships between social units. SNA enables to obtain a graphical representation of the different kinds of ties as well as useful indicators for the description of the structure of the network. Researchers may use SNA to help managers assess the situation of a community regarding its objectives in order to make appropriate adjustments. This article presents research conducted in a steering community of practice within a research and development organization. |
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Pages : |
35 - 53 |
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DOI : |
https://www.cairn.info/revue-internationale-de-psychosociologie-de-gestion-des-comportements-organisationnels-2019-62-page-35.htm |
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Type : |
Research paper |
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Keywords : |
social networks, management tools, knowledge management, steering communities, organizational analysis |
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APA : |
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Citations : |
0 |
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CAIRN : |
https://www.cairn.info/revue-internationale-de-psychosociologie-de-gestion-des-comportements-organisationnels-2019-62-page-35.htm |
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