Overslaan en naar de inhoud gaan

page search

Library Improving Family Forest Knowledge Transfer through Social Network Analysis

Improving Family Forest Knowledge Transfer through Social Network Analysis

Improving Family Forest Knowledge Transfer through Social Network Analysis

Resource information

Date of publication
december 2012
Resource Language
ISBN / Resource ID
AGRIS:US201600082558
Pages
157-164

To better engage Maine's family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network analysis could improve knowledge transfer in the researcher–stakeholder relationship. Analysis found a large network of family forest stakeholders and organizations in Maine. We recommended that the research center use this information to enhance its role as a boundary organization, facilitating communication among researchers, stakeholders, and their organizations to better address the wicked problems facing family forests.

Share on RLBI navigator
NO

Authors and Publishers

Author(s), editor(s), contributor(s)

Gorczyca, Erika L.
Lyons, Patrick W.
Leahy, Jessica E.
Johnson, Teresa R.
Straub, Crista L.

Publisher(s)
Data Provider