Leveraging inter-organizational coordination networks for housing climate change adaptation across rural Alaska
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Open Access
Type
ArticleAbstract
Climate change impacts on housing are an essential concern for Alaska Native communities. Adaptation literature has largely ignored the role of inter-organizational coordination networks in supporting housing adaptation. To address this gap, we surveyed 26 organizations and 36 ...
See moreClimate change impacts on housing are an essential concern for Alaska Native communities. Adaptation literature has largely ignored the role of inter-organizational coordination networks in supporting housing adaptation. To address this gap, we surveyed 26 organizations and 36 participants from organizations working regionally in rural Alaska on housing service, construction, and engineering projects. We employ social network analysis (SNA), including Logistic Regression Quadratic Assignment Procedure (LRQAP), to explore the influence of network centrality on an organization’s ability to enact housing adaptation. Results indicate that when two organizations have similarities in their network centrality, or how connected an organization was in the network, the less likely they are to have similar, positive views in their ability to enact housing adaptation. With a limited capacity to prepare for climate change impacts and integrate adaptation into existing programs, it is important for organizations and governments to mobilize the entirety of inter-organizational coordination networks.
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See moreClimate change impacts on housing are an essential concern for Alaska Native communities. Adaptation literature has largely ignored the role of inter-organizational coordination networks in supporting housing adaptation. To address this gap, we surveyed 26 organizations and 36 participants from organizations working regionally in rural Alaska on housing service, construction, and engineering projects. We employ social network analysis (SNA), including Logistic Regression Quadratic Assignment Procedure (LRQAP), to explore the influence of network centrality on an organization’s ability to enact housing adaptation. Results indicate that when two organizations have similarities in their network centrality, or how connected an organization was in the network, the less likely they are to have similar, positive views in their ability to enact housing adaptation. With a limited capacity to prepare for climate change impacts and integrate adaptation into existing programs, it is important for organizations and governments to mobilize the entirety of inter-organizational coordination networks.
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Date
2024Source title
Sustainable and Resilient InfrastructureVolume
9Issue
1Publisher
Taylor & FrancisFunding information
National Science Foundation #928105
Licence
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0Faculty/School
Faculty of Engineering, School of Civil EngineeringShare