This study contributes to the growing body of literature on the role of networks in creating efficacious systems of governance. In particular, this study considers if, in addition to network structure, two network characteristics, network social capital and network management, each have direct and indirect effects on network performance. Also considered are the combined effects of these three network characteristics on network performance. The findings of this study re-examine the relationship between network characteristics and performance, especially the influence of network structure on performance. Thus, this study has practical implications for policy makers regarding effective collaborative strategies.

This study used an integrated model of network performance that drew upon social capital and alternative dispute resolution theories, as well as social network analysis to identify key components of network characteristics related to the population of 55 Forest Service Resource Advisory Committees (RACs), as authorized under the Secure Rural Schools and Community Self-Determination Act of 2000. In addition to correlational analyses, multiple linear regression analyses were used to test the direct and indirect effects of the predictor variables, network structure, network social capital and network management, on the outcome variable network performance.