Network Determinants of Knowledge Utilization

Abstract

This study examines the socio-organizational model of science-policy knowledge transfer. Using social network analysis, the authors study how interactions between researchers-policy makers affect utilization of research by policy makers in a boundary organization designed to mediate between research and policy communities. Two types of social interactions with independent effects on utilization are identified. Policy makers with more direct contacts with researchers are more likely to utilize research. Policy makers interacting more with other policy makers regarding research are also more likely to utilize it. This indicates the importance of policy makers’ embeddedness in social networks and the importance of external reputation of boundary organizations for successful knowledge transfer.