Knowledge creation in collaboration networks: Effects of tie configuration

•This paper studies dynamic egocentric networks as the venue of knowledge creation.•An inverted U-shaped relation between network average tie strength and impact.•A skewed tie strength distribution contributes to higher citation impact.•Tie strength skewness moderates the effect of network average t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Research policy 2016-02, Vol.45 (1), p.68-80
1. Verfasser: Wang, Jian
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•This paper studies dynamic egocentric networks as the venue of knowledge creation.•An inverted U-shaped relation between network average tie strength and impact.•A skewed tie strength distribution contributes to higher citation impact.•Tie strength skewness moderates the effect of network average tie strength. This paper studies the relationship between egocentric collaboration networks and knowledge creation at the individual level. For egocentric networks we focus on the characteristics of tie strength and tie configuration, and knowledge creation is assessed by the number of citations. Using a panel of 1042 American scientists in five disciplines and fixed effects models, we found an inverted U-shaped relationship between network average tie strength and citation impact, because an increase in tie strength on the one hand facilitates the collaborative knowledge creation process and on the other hand decreases cognitive diversity. In addition, when the network average tie strength is high, a more skewed network performs better because it still has a “healthy” mixture of weak and strong ties and a balance between exploration and exploitation. Furthermore, the tie strength skewness moderates the effect of network average tie strength: both the initial positive effect and the later negative effect of an increase in tie strength are smaller in a more skewed network than in a less skewed one.
ISSN:0048-7333
1873-7625
DOI:10.1016/j.respol.2015.09.003