Analyzing Post-Disaster Reconstruction Stakeholder Networks: Malaysian rural housing

Foong Sin Lam; Chun Chieh Yip; Zhen An Lee; Poh Hwa Ong

doi:10.21834/ebpj.v8i23.4511

Authors

Foong Sin Lam Department of Civil Engineering, LKC FES Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia
Chun Chieh Yip Department of Civil Engineering, LKC FES Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia
Zhen An Lee Department of Civil Engineering, LKC FES Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia
Poh Hwa Ong Department of Mathematical & Actuarial Sciences, LKC FES Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia

DOI:

https://doi.org/10.21834/ebpj.v8i23.4511

Keywords:

Post-Disaster Housing Reconstruction, Social Network Analysis, Rural Malaysia

Abstract

This article uses the social network analysis to identify resource coordination and information exchange of stakeholders in the inter-organizational network by studying the project-related interactions of rural housing reconstruction in Temerloh, Pahang that were funded by the Malaysian government, His Majesty the King and NGO. The data was collected through content analysis and interviews with 23 government agencies, NGOs, and community stakeholders. Findings from the analysis established that government agencies had the highest actor centralities, with the Rural Development Ministry and the local government level being the most central among the government agencies, whereas the homeowners had the lowest centralities.

References

Bisri, M. B. F., & Beniya, S. (2016). Analyzing the national disaster response framework and inter-organizational network of the 2015 Nepal/Gorkha earthquake. Procedia engineering, 159, 19-26. DOI: https://doi.org/10.1016/j.proeng.2016.08.059

Charlesworth, E., & Fien, J. (2022). Design and Disaster Resilience: Toward a Role for Design in Disaster Mitigation and Recovery. Architecture, 2(2), 292-306. DOI: https://doi.org/10.3390/architecture2020017

Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman.

Ha, V. H., Mizunoya, T., Kien, N. D., Dung, T. Q., An, L. T., Phan, N. T., ... & Dinh, N. C. (2022). Post-flood recovery in the central coastal plain of Vietnam: determinants and policy implications. Asia-Pacific Journal of Regional Science, 1-31. DOI: https://doi.org/10.1007/s41685-022-00244-9

Hu, Z., Wu, G., Wu, H., & Zhang, L. (2022). Cross-sectoral preparedness and mitigation for networked typhoon disasters with cascading effects. Urban Climate, 42, 101140. DOI: https://doi.org/10.1016/j.uclim.2022.101140

Lara, N. E., Quiñónez, N. B., Chia, N. B., Ghozlani, R., & Salinas, J. P. (2022). Community Resilience to Muddy Flood Disasters in the Dijle Catchment Region, Belgium: Study Cases of Bertem and Beauvechain Municipalities. Transdisciplinary Insights, 5(2), 25-40. DOI: https://doi.org/10.11116/TDI2021.5.2.2

Masuda, H., Kawakubo, S., Okitasari, M., & Morita, K. (2022). Exploring the role of local governments as intermediaries to facilitate partnerships for the Sustainable Development Goals. Sustainable Cities and Society, 82, 103883. DOI: https://doi.org/10.1016/j.scs.2022.103883

Munday, P. G. (2015). Developing a systems approach for multi-agency co-ordination and community engagement in disaster recovery (Doctoral dissertation, University of Hull).

Paidakaki, A., & Moulaert, F. (2017). Does the post-disaster resilient city really exist? A critical analysis of the heterogeneous transformative capacities of housing reconstruction "resilience cells". International Journal of Disaster Resilience in the Built Environment. DOI: https://doi.org/10.1108/IJDRBE-10-2015-0052

Pourebrahim, N., Sultana, S., Edwards, J., Gochanour, A., & Mohanty, S. (2019). Understanding communication dynamics on Twitter during natural disasters: A case study of Hurricane Sandy. International journal of disaster risk reduction, 37, 101176. DOI: https://doi.org/10.1016/j.ijdrr.2019.101176

Prell, C. (2012). Social network analysis: History, theory and methodology. Sage.

Prell, C., Hubacek, K., & Reed, M. (2016). Stakeholder analysis and social network analysis in natural resource management. In Handbook of applied system science (pp.367-383). Routledge.

Ren, H., Zhang, L., Whetsell, T. A., & Ganapati, N. E. (2023). Analyzing Multisector Stakeholder Collaboration and Engagement in Housing Resilience Planning in Greater Miami and the Beaches through Social Network Analysis. Natural Hazards Review, 24(1), 04022036. DOI: https://doi.org/10.1061/(ASCE)NH.1527-6996.0000594

Rowley, T. J. (1997). Moving beyond dyadic ties: A network theory of stakeholder influences. Academy of management Review, 22(4), 887-910. DOI: https://doi.org/10.5465/amr.1997.9711022107

Sapat, A., Esnard, A. M., & Kolpakov, A. (2019). Understanding collaboration in disaster assistance networks: Organizational homophily or resource dependency?. The American Review of Public Administration, 49(8), 957-972. DOI: https://doi.org/10.1177/0275074019861347

Tierney, K., & Oliver-Smith, A. (2012). Social dimensions of disaster recovery. International Journal of Mass Emergencies & Disasters, 30(2). DOI: https://doi.org/10.1177/028072701203000210

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. DOI: https://doi.org/10.1017/CBO9780511815478