Value of strong ties to disconnected others Examining knowledge creation in biomedicine

Knowledge creation requires the combination and exchange of diverse and overlapping knowledge inputs as individuals interact with exchange partners to create new knowledge. In this study, we examine knowledge creation among university research scientists as a function of their professional (ego) net...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Organization science (Providence, R.I.) Ročník 20; číslo 3; s. 552 - 564
Hlavní autoři: McFadyen, M. Ann, Semadeni, Matthew, Cannella, Albert A
Médium: Journal Article
Jazyk:angličtina
Vydáno: Linthicum INFORMS 01.05.2009
Institute for Operations Research and the Management Sciences
Témata:
ISSN:1047-7039, 1526-5455
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Knowledge creation requires the combination and exchange of diverse and overlapping knowledge inputs as individuals interact with exchange partners to create new knowledge. In this study, we examine knowledge creation among university research scientists as a function of their professional (ego) networks—those others with whom they collaborate for the purpose of creating new knowledge. We propose that knowledge creation relies, in part, on two attributes of a researcher's professional network structure—average tie strength and ego network density—and we provide insights into how these attributes jointly affect knowledge creation. Our study of over 7,300 scientific publications by 177 research scientists working with more than 14,000 others over an 11-year period provides evidence that the relationship between a research scientist's professional network and knowledge creation depends on both ego network density and average tie strength. Our evidence suggests that both attributes affect knowledge creation. Moreover, average tie strength interacts with density to affect knowledge creation such that researchers who maintain mostly strong ties with research collaborators who themselves comprise a sparse network have the highest levels of new knowledge creation.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:1047-7039
1526-5455
DOI:10.1287/orsc.1080.0388