164
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Leveraging inter-organizational coordination networks for housing climate change adaptation across Rural Alaska

ORCID Icon, , ORCID Icon & ORCID Icon
Pages 16-31 | Received 29 Jun 2022, Accepted 12 Jun 2023, Published online: 13 Jul 2023
 

ABSTRACT

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 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.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available on request from the corresponding author, JT. Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data). The survey responses identify organizations and participants and thus need to be de-identified.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This material is based in part on work supported by the National Science Foundation #928105. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

Notes on contributors

Jessica E. Taylor

Jessica E. Taylor’s research involves stakeholder engagement and partnership building for climate change adaptation of infrastructure and co-design and construction of housing.

Cristina Poleacoschi

Cristina Poleacovschi is an Assistant Professor in the Civil, Construction and Environmental Engineering Department. Her research involves climate change adaptation, disaster resilience, knowledge sharing in project-based organization, infrastructure inequities, and enhancing critical consciousness and social justice attitudes in engineering education.

Aaron Opdyke

Aaron Opdyke is a Lecturer in Humanitarian Engineering at The University of Sydney in the School of Civil Engineering. His research involves disasters and infrastructure in resource-constrained communities and seeks to strengthen preparedness for and recovery after disaster and conflict, through the lens of safe and equitable shelter and settlements.

Kristen Cetin

Kristen Cetin is an Assistant Professor at Michigan State University in the Department of Civil and Environmental Engineering. Her research involves the use of building energy and daylight modeling and smart technologies to improve building energy performance and reduce peak loads, while maintaining occupant comfort.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 168.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.