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JDR Vol.10 No.2 pp. 363-372
(2015)
doi: 10.20965/jdr.2015.p0363

Paper:

Cross-Organizational Information Sharing and Coordination in Disaster Response: The Case of the 2008 Wenchuan China Earthquake

Enyan Wang*, Dequan Zheng**, and Xiangyang Li**

*School of Management, Harbin Institute of Technology, 2#, West Wenhua Road, Weihai, China

**School of Management, Harbin Institute of Technology, 92#, XiDaZhi Street, Harbin, China

Received:
September 22, 2014
Accepted:
January 24, 2015
Published:
April 1, 2015
Keywords:
emergency response, information sharing, multi-agency coordination, socio-technical systems
Abstract

Information sharing is a vital component of unified planning among multiple agencies performing varied tasks and activities toward effective emergency response, which promotes effective coordination. Insufficient information sharing and ineffective coordination among organizations during a disaster response creates a bottleneck in need of urgent resolution to effect preparedness. Building a highly effective emergency management information system would help to solve this problem. Modern information technology processing techniques have produced tools and approaches for information sharing across multiple agencies. However, Chinese and international scholars who study the multi-agency unified response systems of various countries have found that such systems are not in practice. This study took a socio-technical system perspective to analyze the characteristics of emergency response organizations and tasks involved in the response to the 2008 Wenchuan (China) earthquake as a case study. Existing problems and possible causes were analyzed from system and technology perspectives to identify possible resolutions to problems in cross-organizational information sharing and coordination that would improve the quality and speed of information sharing and coordination among multiple agencies. The results suggest a basic theoretical approach for the analysis and design of an open, cross-organizational relief management information system that can efficiently and effectively respond to large-scale disasters.

Cite this article as:
E. Wang, D. Zheng, and X. Li, “Cross-Organizational Information Sharing and Coordination in Disaster Response: The Case of the 2008 Wenchuan China Earthquake,” J. Disaster Res., Vol.10, No.2, pp. 363-372, 2015.
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References
  1. [1]  Fire and Disaster Management Agency (Sep 1. 2014), available at: http://www.fdma.go.jp/bn/higaihou/pdf/jishin/150.pdf [accessed December 26, 2014]
  2. [2]  A. Koresawa, “Evidence-based analysis of search and rescue operations following the Great East Japan Earthquake,” Journal of Disaster Research, Vol.8, No.sp, pp. 746-755, 2013.
  3. [3]  I. Junglas and B. Ives, “Recovering IT in a disaster: Lessons learned from Hurricane Katrina,” MIS Quarterly Executive, Vol.6, No.1, pp. 39-51, 2007.
  4. [4]  K. Sapountzaki, S. Wanczura, G. Casertano, S. Greiving, G. Xanthopoulos, and F. F. Ferrara, “Disconnected policies and actors and the missing role of spatial planning throughout the risk management cycle,” Natural Hazards, Vol.59, pp. 1445-1474, 2011.
  5. [5]  G. Preece, D. Shaw, and H. Hayashi, “Using the Viable System Model (VSM) to structure information processing complexity in disaster response,” European Journal of Operational Research, Vol.224. No.1, pp. 209-218, 2013.
  6. [6]  M. Y. Cheng and Y. W. Wu, “Multi-agent-based data exchange platform for bridge disaster prevention: a case study in Taiwan,” Natural Hazards, Vol.69, pp. 311-326, 2013.
  7. [7]  J. M. Schraagen and M. Huis, “Information sharing during crisis management in hierarchical vs. network,” Journal of Contingencies and Crisis Management, Vol.18, No.2, pp. 117-127, 2010.
  8. [8]  S. M. Taohidul Islam and Z. Chik, “Disaster in Bangladesh and management with advanced information system,” Disaster Prevention and Management: An Int. Journal, Vol.20, No.5, pp. 521-530, 2011.
  9. [9]  J. K. Lee, H. Bharosa, J. Yang et al., “Group value and intention to use-A study of multi-agency disaster management information systems for public safety,” Decision Support Systems, Vol.50, pp. 404-414, 2011.
  10. [10]  H. Jing and Y. M. Xi, “Review and advance of research on organization coordination theory,” Management Review, Vol.18, No.2, pp. 50-56, 2006.
  11. [11]  T. M. Yang and T. A. Maxwell, “Information-sharing in public organizations: A literature review of interpersonal, intra-organizational and inter-organizational success factors,” Government Information Quarterly, Vol.28, pp. 164-175, 2011.
  12. [12]  B. Balcik, B. M. Beamon, C. C. Krejci, et al., “Coordination in humanitarian relief chains: Practices, challenges and opportunities,” Int. J. Production Economics, Vol.126, pp. 22-34, 2010.
  13. [13]  L. Hossain and S.Uddin, “Design patterns: coordination in complex and dynamic environments,” Disaster Prevention and Management: An Int. Journal, Vol.21, No.3, pp. 336-350, 2012.
  14. [14]  L. Comfort and N. Kapucu, “Inter-organizational coordination in extreme events: The World Trade Center attacks, September 11, 2001,” Natural Hazards, Vol.39, No.2, pp. 309-327, 2006.
  15. [15]  H. De Bruijn, “One fight, one team: The 9/11 commission report on intelligence, fragmentation and information,” Public Administration, Vol.84. No.2, pp. 267-287, 2006.
  16. [16]  B. Otjacques, P. Hitzelberger, and F. Feltz, “Interoperability of E-government information systems: Issues of identification and data sharing,” Journal of Management Information Systems, Vol.23, No.4, pp. 29-51, 2007.
  17. [17]  D. Helbing, H. Ammoser, and K. Kuhnert, “Information flows in hierarchical networks and the capability of organizations to successfully respond to failures, crises, and disasters,” Physica A, Vol.363, pp. 141-150, 2006.
  18. [18]  I. Helsloot, “Bordering on reality: Findings on the bonfire crisis management simulation,” Journal of Contingencies and Crisis Management, Vol.13, No.4, pp. 159-169, 2005.
  19. [19]  N. Bharosa, J. K. Lee, and M. Janssen, “Challenges and obstacles in sharing and coordinating information during multi-agency disaster response Propositions from field exercises,” Inf Syst Front, No.12, pp. 49-65, 2010.
  20. [20]  R. McMaster and C. Baber, “Multi-agency operations: Cooperation during flooding,” Applied Ergonomics, Vol.43, pp. 38-47, 2012.
  21. [21]  I. Aedo, P. Díaz, J. M. Carroll, et al., “End-user oriented strategies to facilitate multi-organizational adoption of emergency management information systems,” Information Processing and Management, Vol.46, pp. 11-21, 2010.
  22. [22]  Xinhua News Agency, “Advances in Sichuan Wenchuan earthquake relief situation (September 11th,” 2008a, available at: http://news. xinhuanet.com/newscenter/2008-09/11/contenttextunderscore 9923910.htm [accessed February 15, 2014]
  23. [23]  X. B. Liu, “Perfectting emergency management command decision-making system -- Based on the rescue and relief Wenchuan earthquake as an example,” Proc. of the Int. Conf. on emergency management, pp. 95-102, 2010.
  24. [24]  L. G. Fan and Z. Y. Liu, “The structure of information flow from the chain to the information flow network information flows in supply chain,” Business Economics Review, No.5, pp. 54-56, 2003.
  25. [25]  Changjiang News, “A girl suggested a aerodrome reference place via QQ (May 9),” 2008, available at: http://news.cjn.cn/dsrd /200805/t644027textunderscore 1.htm [accessed December 30, 2014]

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Last updated on Dec. 05, 2019