Multiple Stakeholder Partnership In Windstorm Disaster Housing Reconstruction
Housing reconstruction is essential to the post-disaster communities for recovery to normal life in a short period. However, housing reconstruction progress is complex since it involves multiple stakeholders. Ease of information exchange between stakeholders is essential to improve the efficiency of...
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Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
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Online Access: | http://eprints.utar.edu.my/4430/1/ http://eprints.utar.edu.my/4430/ |
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Institution: | Universiti Tunku Abdul Rahman |
Summary: | Housing reconstruction is essential to the post-disaster communities for recovery to normal life in a short period. However, housing reconstruction progress is complex since it involves multiple stakeholders. Ease of information exchange between stakeholders is essential to improve the efficiency of housing reconstruction. Thus, Social Network Analysis (SNA) has been applied in this study. SNA help to identify the overall network bonding and information exchange of each stakeholder in the network in terms of project management, resource allocation, and safety of building design. There is limited SNA research based on housing reconstruction in Malaysia. Besides that, Malaysia lacks specific guidelines and policies for housing reconstruction after disasters. The objectives of this study are first to identify information exchange network in terms of project management, resource allocation and safety of building design of housing reconstruction in Malaysia, and secondly, to develop the case study into social network structure using Gephi network analysis and visualization software and thirdly to identify the influence level and structure position of individual stakeholders depends on their centrality metric. This study focused on Temerloh, Pahang. There are three groups of networks involved in this study: government, Yang di-Pertuan Agong, and non-profit organizations. The mixed methods research design is used in this study. The data was collected by semi-structured interviews with snowball sampling and content analysis. The network analysis software, Gephi is used to analyse network data, quantify the degrees of centrality and connectivity of stakeholders and find out each network density and the key stakeholders who have the potential to influence post-disaster housing reconstruction outcomes. The study finds out each network density and the critical stakeholder. The Agong network has the highest network density, resulting in the most solid network bonding. The key stakeholder in each network has been verified by comparing the centrality metrics. As a result, the KPLB, Yang di-Pertuan Agong’s Administration, and IQLAS care are the key stakeholders in the government network, the Agong network, and the NGO network. |
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