Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/31332 |
Resumo: | Hospitals, as critical infrastructures, confront multifaceted challenges during crises, ranging from natural disasters to pandemics. Initially, these facilities must secure essential emergency support functions and, subsequently, expedite their recovery from any adverse impacts. Hospital resilience, influenced by numerous variables and assessed through various evaluation criteria, remains enigmatic in terms of relationships and hierarchy among these factors. By integrating group decision-making and interpretive structural modeling, this study delves into determinants of practices bolstering hospital resilience from an internal management perspective. While the empirical results offer insights specific to the study context, the primary contribution is in the innovative methodology that shifts the emphasis from mere outputs to the intrinsic value of the process itself. Consequently, a hierarchical model of hospital resilience emerges, enriching insights into hospital resilience and highlighting the intricate balance between methodological rigor and tangible application, additionally serving as a blueprint for similar context-specific investigations. The research culminated in a consolidation session with an external expert, who assessed the model's applicability as a tool for generating new knowledge about developing hospital resilience management. Advantages and limitations are also discussed. |
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Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modelingGroup decision making (GDM)Hospital managementHospital planning capacityHospital resilienceInterpretive structural modeling (ISM)Hospitals, as critical infrastructures, confront multifaceted challenges during crises, ranging from natural disasters to pandemics. Initially, these facilities must secure essential emergency support functions and, subsequently, expedite their recovery from any adverse impacts. Hospital resilience, influenced by numerous variables and assessed through various evaluation criteria, remains enigmatic in terms of relationships and hierarchy among these factors. By integrating group decision-making and interpretive structural modeling, this study delves into determinants of practices bolstering hospital resilience from an internal management perspective. While the empirical results offer insights specific to the study context, the primary contribution is in the innovative methodology that shifts the emphasis from mere outputs to the intrinsic value of the process itself. Consequently, a hierarchical model of hospital resilience emerges, enriching insights into hospital resilience and highlighting the intricate balance between methodological rigor and tangible application, additionally serving as a blueprint for similar context-specific investigations. The research culminated in a consolidation session with an external expert, who assessed the model's applicability as a tool for generating new knowledge about developing hospital resilience management. Advantages and limitations are also discussed.Wiley2024-03-12T12:56:02Z2024-01-01T00:00:00Z20242024-03-12T12:55:44Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/31332eng1086-171810.1002/jsc.2577Bai, J.Ferreira, F.Ferreira, N.Ferreira, J.Correia, R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-17T01:17:46Zoai:repositorio.iscte-iul.pt:10071/31332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:45.603953Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
title |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
spellingShingle |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling Bai, J. Group decision making (GDM) Hospital management Hospital planning capacity Hospital resilience Interpretive structural modeling (ISM) |
title_short |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
title_full |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
title_fullStr |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
title_full_unstemmed |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
title_sort |
Enhancing hospital resilience and planning capacity in scenarios of crisis using group decision‐making and interpretive structural modeling |
author |
Bai, J. |
author_facet |
Bai, J. Ferreira, F. Ferreira, N. Ferreira, J. Correia, R. |
author_role |
author |
author2 |
Ferreira, F. Ferreira, N. Ferreira, J. Correia, R. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Bai, J. Ferreira, F. Ferreira, N. Ferreira, J. Correia, R. |
dc.subject.por.fl_str_mv |
Group decision making (GDM) Hospital management Hospital planning capacity Hospital resilience Interpretive structural modeling (ISM) |
topic |
Group decision making (GDM) Hospital management Hospital planning capacity Hospital resilience Interpretive structural modeling (ISM) |
description |
Hospitals, as critical infrastructures, confront multifaceted challenges during crises, ranging from natural disasters to pandemics. Initially, these facilities must secure essential emergency support functions and, subsequently, expedite their recovery from any adverse impacts. Hospital resilience, influenced by numerous variables and assessed through various evaluation criteria, remains enigmatic in terms of relationships and hierarchy among these factors. By integrating group decision-making and interpretive structural modeling, this study delves into determinants of practices bolstering hospital resilience from an internal management perspective. While the empirical results offer insights specific to the study context, the primary contribution is in the innovative methodology that shifts the emphasis from mere outputs to the intrinsic value of the process itself. Consequently, a hierarchical model of hospital resilience emerges, enriching insights into hospital resilience and highlighting the intricate balance between methodological rigor and tangible application, additionally serving as a blueprint for similar context-specific investigations. The research culminated in a consolidation session with an external expert, who assessed the model's applicability as a tool for generating new knowledge about developing hospital resilience management. Advantages and limitations are also discussed. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-12T12:56:02Z 2024-01-01T00:00:00Z 2024 2024-03-12T12:55:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/31332 |
url |
http://hdl.handle.net/10071/31332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1086-1718 10.1002/jsc.2577 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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