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
2017-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
DiVincenzo,Mascia 2017.pdf
Solo gestori archivio
Descrizione: Articolo
Tipologia:
PDF editoriale
Dimensione
434.06 kB
Formato
Adobe PDF
|
434.06 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.