TY - JOUR
T1 - Social Influence in Social-Ecological Systems
T2 - Collaborative Capacity and Inter-Organizational Networks in the U.S. Sagebrush
AU - Bixler, R. Patrick
AU - Essen, Maureen
AU - Thomsen, Jennifer
AU - Johnson, Shawn
AU - Atshan, Samer
AU - Shariatmadari, Auva
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024
Y1 - 2024
N2 - Collaborative governance has become a prominent, if not dominant, framework for thinking about multi-scalar and cross-jurisdictional environmental management. The literature broadly and consistently suggests that collaborative capacity and inter-organizational networks provide the institutional framework for addressing social-ecological system challenges. Surprisingly little scholarship addresses processes of social influence (or contagion) in social-ecological systems writ large, or more specifically as it relates to collaborative capacity. In this study, we consider the relationship between network position and structure and “collaborative capacity”. We use a linear network autocorrelation model to establish a quantifiable, statistical relationship between an organizational-level outcome (collaborative capacity) for organizations that are relationally connected in a network addressing conservation and management issues in the U.S. sagebrush biome. We test three general hypotheses: (1) that social position – operationalized as network centrality – is related to collaborative capacity, (2) that subgroup or community structure – operationalized as modularity – is related to collaborative capacity, and (3) that there is a social contagion effect of collaborative capacity. Our results identify a positive relationship between collaborative capacity and organizations in positions of brokerage as well as evidence of a “collaborative capacity” contagion effect. This work contributes to our understanding of the role of bridging organizations and networks for large-scale environmental management.
AB - Collaborative governance has become a prominent, if not dominant, framework for thinking about multi-scalar and cross-jurisdictional environmental management. The literature broadly and consistently suggests that collaborative capacity and inter-organizational networks provide the institutional framework for addressing social-ecological system challenges. Surprisingly little scholarship addresses processes of social influence (or contagion) in social-ecological systems writ large, or more specifically as it relates to collaborative capacity. In this study, we consider the relationship between network position and structure and “collaborative capacity”. We use a linear network autocorrelation model to establish a quantifiable, statistical relationship between an organizational-level outcome (collaborative capacity) for organizations that are relationally connected in a network addressing conservation and management issues in the U.S. sagebrush biome. We test three general hypotheses: (1) that social position – operationalized as network centrality – is related to collaborative capacity, (2) that subgroup or community structure – operationalized as modularity – is related to collaborative capacity, and (3) that there is a social contagion effect of collaborative capacity. Our results identify a positive relationship between collaborative capacity and organizations in positions of brokerage as well as evidence of a “collaborative capacity” contagion effect. This work contributes to our understanding of the role of bridging organizations and networks for large-scale environmental management.
KW - Collaborative capacity
KW - Collaborative governance
KW - Inter-organizational networks
KW - Sagebrush
KW - Social influence
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85207873368&partnerID=8YFLogxK
U2 - 10.1007/s00267-024-02026-9
DO - 10.1007/s00267-024-02026-9
M3 - Article
AN - SCOPUS:85207873368
SN - 0364-152X
JO - Environmental Management
JF - Environmental Management
ER -