Knowledge based strategies for Disaster Risk Reduction: A knowledge management framework to increase understanding and awareness of value of prevention and preparedness

Mejri, Ouejdane; Pesaro, G.

doi:10.1201/b19094-472

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…This is a challenging and a difficult task due to the fact that there is no identical disaster in which impossible to develop a generic formulation that can be applied to all DM cases (Coppola, 2011). Therefore, understanding (Thapa et al, 2017) and equipping (Mejri & Pesaro, 2015;Rivera et al, 2015) the DM activities with as complete and relevant best practice knowledge as possible is urgent to support the DM resilience endeavours. In addition, it is imperative to note that for the effective and efficient DM activities, the knowledge needs to be decomposed and available at the first place to be able to mechanize the decisions making processes out of it (Weichselgartner & Pigeon, 2015).…”

Section: 1mentioning

confidence: 99%

Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption

Inan

Beydoun

Pradhan

2018

International Journal of Disaster Risk Reduction

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In Disaster Management (DM), a Decision Support System (DSS) first and foremost requires a sufficient amount of representative knowledge to avail it to authorities who need it. A challenge in providing DM knowledge is that relevant authorities are often varied with different requirements. The knowledge may be needed and presented differently according to the decision making process whether it be for planning/policy making or responding operationally to a real time situation. This reality is reflected in the fact that DSS in DM is often focussed on very specific set of tasks e.g. evacuation, logistic or coordination and/or DM phase specific e.g. Preparedness or Response only. However, the trigger for accessing such knowledge is often an external change be it environmental or organisational. Hence, a variety of views or stakeholders are often involved. DM is a complex domain and various concerns and phases are often intertwined. This work advocates a unified access based on a unified representation of the various phases and concerns. The paper contributes to development of the required hybrid mechanisms, some are top down and others are bottom up. The proposed DSS architecture and its development lifecycle accommodate interests of varying DM decision makers. A knowledge conversion process centred on the Meta Object Facility (MOF) is used to structure and disentangle the knowledge for those different interests and roles. A real case study of the recent Mt. Agung volcano eruption in Bali Indonesia is successfully used to demonstrate the efficacy of the development process and the resultant DSS.

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Section: 1mentioning

confidence: 99%

Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption

Inan

Beydoun

Pradhan

2018

International Journal of Disaster Risk Reduction

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“…It is vital to address the dissemination of DM information that pervades all PPRR stages (prevention/mitigation/planning, preparedness, response, and recovery). This is performed by grasping [28] and delivering [29,30] as much relevant best practice information as feasible for DM implementation as a requirement for DM resilience efforts.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing Reusable COVID-19 Disaster Management Plans Using Agent-Based Analysis

et al. 2022

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Since late 2019, the COVID-19 biological disaster has informed us once again that, essentially, learning from best practices from past experiences is envisaged as the top strategy to develop disaster management (DM) resilience. Particularly in Indonesia, however, DM activities are challenging, since we have not experienced such a disaster, implying that the related knowledge is not available. The existing DM knowledge written down during activities is generally structured as in a typical government document, which is not easy to comprehend by stakeholders. This paper therefore sets out to develop an Indonesia COVID-19 Disaster Management Plan (DISPLAN) template, employing an Agent-Based Knowledge Analysis Framework. The framework allows the complexities to be parsed before depositing them into a unified repository, facilitating sharing, reusing, and a better decision-making system. It also can instantiate any DISPLAN for lower administration levels, provincial and regency, to harmonise holistic DM activities. With Design Science Research (DSR) guiding these processes, once the plan is developed, we successfully evaluate it with a real case study of the Manokwari Regency. To ensure its effectivity and usability, we also conduct a post-evaluation with two authorities who are highly involved in the Indonesia task force at the regency level. The results from this post-evaluation are highly promising.

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“…Namun dengan demikian ketersediaan pengetahuan best practice berbagai aktivitas PByang sejenis secara lengkap dan relevan, misalnya: berbagai pengetahuan aktivitas proses PB banjir, erupsi gunung merapi, dll., adalah tidak hanya krusial namun juga pengetahuan tersebut haruslah bisa didekomposisi untuk kepentingan proses pengambilan keputusan yang holistic (Mejri & Pesaro, 2015;Rivera et al, 2015). Hal ini disebabkan karena berbagai diskrepansi istilah dan pengetahuan digunakan oleh berbagai stake holder dalam proses PB mereka.…”

Section: A Pentingnya Mengurai Kekusutan (Intertwined) Pengetahuan Pbunclassified

Manajemen Pengetahuan Kebencanaan yang Lebih Baik dalam Mendukung Pembangunan Berkelanjutan

Inan

2019

Igya ser hanjop

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Disaster cannot be prevented. What can be followed up to, therefore, is to response to optimally in a disaster management. The aim is to reduce the impact caused, the losses of properties and the casualties. On the other hand, the concept of sustainable development is an inseparable side of the disaster management activities. This is not surprising as the overarching goals of the Sustainable Development Goals (SDGs) 2030 initiatives are the core of the disaster risk reductions through targets through Sendai Framework of Disaster Risk Reduction 2015-2030. In attempts to externalise it, one of the efficient and considered as the most effective ways is learning from the best practices of the past experiences. Information and Communication Technology through an information system: knowledge-based information system of disaster management, is worth seeking. This is because the various benefits offered by it to expedite and embody it, in particular, the advantage in a geographically and distaces issues. This writing discusses the cutting-the-edge review of the aforementioned ideas. This is conducted through a content analysis of the diverse related works and literatures as the target of the writing. In the end, the flagships of future research directions will be laid out.

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Knowledge based strategies for Disaster Risk Reduction: A knowledge management framework to increase understanding and awareness of value of prevention and preparedness

Cited by 5 publications

References 1 publication

Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption

Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption

Developing Reusable COVID-19 Disaster Management Plans Using Agent-Based Analysis

Manajemen Pengetahuan Kebencanaan yang Lebih Baik dalam Mendukung Pembangunan Berkelanjutan

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