In this paper, social network analysis techniques and regression models are used to explain the impact of the level of knowledge development on ego-network redun- dancy in a community of hospital physicians. Our findings document that the level of knowledge development and the extent to which knowledge is homogeneously distributed amongst collaborating physicians are related to the redun- dancy of their advice networks, albeit with opposite effects. Our results highlight also that the impact of these rela- tionships on network redundancy is moderated based on whether partnering individuals belong to different profes- sional groups. Our results provide valuable input for the management of knowledge networks within professional organizations.

Knowledge development and advice networks in professional organizations

DI VINCENZO, FAUSTO;MASCIA, DANIELE
2017

Abstract

In this paper, social network analysis techniques and regression models are used to explain the impact of the level of knowledge development on ego-network redun- dancy in a community of hospital physicians. Our findings document that the level of knowledge development and the extent to which knowledge is homogeneously distributed amongst collaborating physicians are related to the redun- dancy of their advice networks, albeit with opposite effects. Our results highlight also that the impact of these rela- tionships on network redundancy is moderated based on whether partnering individuals belong to different profes- sional groups. Our results provide valuable input for the management of knowledge networks within professional organizations.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11564/667952
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