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Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process

Indonesia has significant expertise in disaster management due to its disaster geography. Collective expertise and knowledge are valuable resources for lowering disaster risk and enhancing disaster resilience. Additionally, in the current pandemic situation, a clearer understanding of COVID-19 is gr...

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Detalles Bibliográficos
Autores principales: Oktari, Rina Suryani, Latuamury, Bokiraiya, Idroes, Rinaldi, Sofyan, Hizir, Munadi, Khairul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758754/
https://www.ncbi.nlm.nih.gov/pubmed/36568918
http://dx.doi.org/10.1016/j.ijdrr.2022.103503
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author Oktari, Rina Suryani
Latuamury, Bokiraiya
Idroes, Rinaldi
Sofyan, Hizir
Munadi, Khairul
author_facet Oktari, Rina Suryani
Latuamury, Bokiraiya
Idroes, Rinaldi
Sofyan, Hizir
Munadi, Khairul
author_sort Oktari, Rina Suryani
collection PubMed
description Indonesia has significant expertise in disaster management due to its disaster geography. Collective expertise and knowledge are valuable resources for lowering disaster risk and enhancing disaster resilience. Additionally, in the current pandemic situation, a clearer understanding of COVID-19 is growing, which could make a difference in how effectively we respond to this and future pandemics. Therefore, it is crucial to record and maintain information related to the event in order to handle any crisis and COVID-19 pandemic appropriately. The goal of this study is to explore KM implementation approaches for handling disasters and the COVID-19 pandemic in Indonesia. In order to collect data for this study, 20 experts were interviewed and 30 experts participated in a Focus Group Discussion (FGD). SWOT analysis was utilised in this study to find different KM implementation strategies. The Analytic Network Process (ANP) was used to prioritize several previously discovered strategies. The study finds that the approach which must be prioritised is to ensure that knowledge products can be accessed by the public, and they must include the community (family) as subjects in establishing knowledge management methods (not only the government or institutions).
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spelling pubmed-97587542022-12-19 Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process Oktari, Rina Suryani Latuamury, Bokiraiya Idroes, Rinaldi Sofyan, Hizir Munadi, Khairul Int J Disaster Risk Reduct Article Indonesia has significant expertise in disaster management due to its disaster geography. Collective expertise and knowledge are valuable resources for lowering disaster risk and enhancing disaster resilience. Additionally, in the current pandemic situation, a clearer understanding of COVID-19 is growing, which could make a difference in how effectively we respond to this and future pandemics. Therefore, it is crucial to record and maintain information related to the event in order to handle any crisis and COVID-19 pandemic appropriately. The goal of this study is to explore KM implementation approaches for handling disasters and the COVID-19 pandemic in Indonesia. In order to collect data for this study, 20 experts were interviewed and 30 experts participated in a Focus Group Discussion (FGD). SWOT analysis was utilised in this study to find different KM implementation strategies. The Analytic Network Process (ANP) was used to prioritize several previously discovered strategies. The study finds that the approach which must be prioritised is to ensure that knowledge products can be accessed by the public, and they must include the community (family) as subjects in establishing knowledge management methods (not only the government or institutions). Elsevier Ltd. 2023-02-01 2022-12-17 /pmc/articles/PMC9758754/ /pubmed/36568918 http://dx.doi.org/10.1016/j.ijdrr.2022.103503 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Oktari, Rina Suryani
Latuamury, Bokiraiya
Idroes, Rinaldi
Sofyan, Hizir
Munadi, Khairul
Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title_full Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title_fullStr Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title_full_unstemmed Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title_short Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process
title_sort knowledge management strategy for managing disaster and the covid-19 pandemic in indonesia: swot analysis based on the analytic network process
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758754/
https://www.ncbi.nlm.nih.gov/pubmed/36568918
http://dx.doi.org/10.1016/j.ijdrr.2022.103503
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