Sunbelt XXXI International Network for Social Network ... - INSNA

R&D Networks, Knowledge Transfer And Research ImpactTakahashi, MarissaQualitative and Mixed Method Network studiesSmall World, Multilevel Analysis, Knowledge Transfer, Network Performance, Network Structure, R&DFRI.AM1Traditional, repository‐centric knowledge management (KM) has failed to deliver on its promise of easy access to expert knowledge for competitive advantage.Reexamination of the basic assumptions about knowledge has led to conclusion that the dynamic nature of knowledge that resides in people’s minds cannotbe managed but can only be facilitated through interactions within social structures such as social networks. This study examines the task‐focused socialnetwork of corporate R&D project teams. These R&D teams have the specific task of conducting research projects that advance the state of the art of theknowledge in a specific domain, as well as the mandate of commercially exploiting their results. To achieve their tasks, R&D teams collaborate, both face‐tofaceand electronically, with a network of diverse participants within their global ecosystem ‐ a complex mesh of interconnected stakeholders dispersedgeographically and across time zones. Drawing on Diffusion of Innovations Theory and Small‐world‐network, this study aims to examine how networkcharacteristics influence the knowledge transfer processes that facilitate the creation of research impact. This study posits that knowledge transfer among thenetwork stakeholders is a facilitating mechanism in generating research impact. This study further posits that the structural and relational characteristics of thenetwork influence knowledge transfer. The network perspective provides a lens for examining the complexRace, Gender And Social Capital On FacebookSanders‐Jackson, Ashley N.Poster SessionERGM/P*, Social Capital, Race, GenderSAT.PM3Research has suggested that women and minorities may form different types of social networks than their male or white counterparts. This may beparticularly important for women and minorities in terms of access to social capital. This research uses ERGM and other methodologies to compare socialnetwork composition on Facebook of women and men and between White individuals and minorities using a college student sample at a major easternuniversity. Results indicate that whites have greater homogeneity of network ties than minorities, that minorities have different structural properties of theirnetworks than whites, and that there are also differences between women's and men's social networks.