Inter-Organizational Resource Coordination in Post-Disaster Infrastructure Recovery

  • File Size 519.21 KB
  • Date October 26, 2016
  • Publication Type
  • Publication Construction Management and Economics
  • Volume 25
  • Issue 8-9
  • Pages 514-530
  • DOI 10.1080/01446193.2016.1247973
  • ISBN [isbn]
  • Version Accepted Manuscript

Abstract: Despite significant advances in strengthening post-disaster recovery efforts, misaligned strategy and inefficient resource allocation are far too often the norm for infrastructure reconstruction. To examine the inter-organizational networks that form to coordinate resources for infrastructure reconstruction, we employed social network analysis in 19 communities in the Philippines following Super Typhoon Haiyan, at 6 and 12 months post-disaster. To build these networks, we analysed interview, field observation and documentation data collected from non-governmental organizations, local governments and communities. A survey questionnaire was also administered to organizations working in selected communities to validate networks. Results from network analysis established that information was the most commonly shared resource by organizations, followed by financial, material and human resources. Government agencies had the highest actor centralities; however, qualitative data suggest that these roles were the result of obligatory consultations by international organizations and lacked legitimacy in practice. Findings further demonstrate that networks become more decentralized over time as actors leave and roles become more established, influenced by short-term expatriate contracts and the termination of United Nations supported cluster coordination. Findings could help organizations strengthen humanitarian response efforts by attending to resource allocation and knowledge sharing with other organizations.

Recommended Citation: Opdyke, A., Lepropre, F., Javernick-Will, A., and Koschmann, M. (2017) “Inter-Organizational Resource Coordination in Post-Disaster Infrastructure Recovery.” Construction Management and Economics. 35 (8-9), 514-530. doi: 10.1080/01446193.2016.1247973

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