Full metadata record
DC Field | Value | Language |
---|---|---|
dc.creator | Elkady, S. (Sahar) | - |
dc.creator | Hernantes-Apezetxea, J. (Josune) | - |
dc.creator | Labaka-Zubieta, L. (Leire) | - |
dc.date.accessioned | 2023-08-24T11:31:14Z | - |
dc.date.available | 2023-08-24T11:31:14Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Elkady, S. (Sahar); Hernantes-Apezetxea, J. (Josune); Labaka-Zubieta, L. (Leire). "Towards a resilient community: A decision support framework for prioritizing stakeholders' interaction areas". Reliability Engineering & System Safety. 237, 2023, 109358 | es |
dc.identifier.issn | 1879-0836 | - |
dc.identifier.uri | https://hdl.handle.net/10171/67162 | - |
dc.description.abstract | Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience. | es_ES |
dc.description.sponsorship | This work was supported by the European project ENGAGE, funded by the European Union’s Horizon 2020 research and innovation program [grant number 882850]. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/882850/EU | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Community resilience | es_ES |
dc.subject | Stakeholders’ interactions | es_ES |
dc.subject | Social network analysis | es_ES |
dc.subject | Delphi study | es_ES |
dc.subject | Decision support framework | es_ES |
dc.subject | Priority setting | es_ES |
dc.title | Towards a resilient community: A decision support framework for prioritizing stakeholders' interaction areas | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.note | This is an open access article under the CC BY-NC-ND license | es_ES |
dc.identifier.doi | 10.1016/j.ress.2023.109358 | - |
dadun.citation.publicationName | Reliability Engineering & System Safety | es_ES |
dadun.citation.startingPage | 109358 | es_ES |
dadun.citation.volume | 237 | es_ES |
Files in This Item:
Statistics and impact
Items in Dadun are protected by copyright, with all rights reserved, unless otherwise indicated.