The Dynamics of Interorganizational Collaboration in Disaster Management: A Network Study Based on Flood Disasters in China

Zhichao Li , Long Liu , Shaodan Liu

International Journal of Disaster Risk Science ›› 2023, Vol. 14 ›› Issue (6) : 979 -994.

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International Journal of Disaster Risk Science ›› 2023, Vol. 14 ›› Issue (6) : 979 -994. DOI: 10.1007/s13753-023-00525-7
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The Dynamics of Interorganizational Collaboration in Disaster Management: A Network Study Based on Flood Disasters in China

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Abstract

Interorganizational collaboration networks have become an important tool for disaster management. However, research on how different organizations can effectively collaborate throughout the entire disaster management process in centralized states such as China is scarce. This study begins to fill this lacuna by investigating interorganizational collaboration in different phases of disaster management and analyzing changes in the structure of the networks constructed during the preparedness and response phases of the 2020 flood disaster in Hubei Province, China. Building on the complex adaptive systems (CAS) theory, we argue that interorganizational collaboration changes dynamically according to its tasks and requirements. In the preparedness phase, interorganizational collaborations primarily follow established plans and choose horizontal self-organized collaboration mechanisms. However, when the urgent information and resource requirements increase in the response phase, many organizations choose vertical mandatory collaboration mechanisms. We found that organizations at the central and provincial levels in China were well positioned to coordinate information and resources and strengthen the interorganizational collaboration and communication that is crucial in disaster management. These findings contribute to the study of interorganizational collaboration networks in disaster management.

Keywords

China / Complex adaptive system / Disaster management / Flood disasters / Interorganizational collaboration / Social network analysis

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Zhichao Li, Long Liu, Shaodan Liu. The Dynamics of Interorganizational Collaboration in Disaster Management: A Network Study Based on Flood Disasters in China. International Journal of Disaster Risk Science, 2023, 14(6): 979-994 DOI:10.1007/s13753-023-00525-7

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References

[1]

Abbasi, A., and N. Kapucu. 2012. Structural dynamics of organizations during the evolution of interorganizational networks in disaster response. Journal of Homeland Security and Emergency Management 9(1): Article 23.

[2]

Agranoff R, McGuire M. Big questions in public network management research. Journal of Public Administration Research and Theory, 2001, 11(3): 295-326

[3]

Aung TM, Lim S. Evolution of collaborative governance in the 2015, 2016, and 2018 Myanmar flood disaster responses: A longitudinal approach to a network analysis. International Journal of Disaster Risk Science, 2021, 12(2): 267-280

[4]

Boersma K, Comfort L, Groenendaal J, Wolbers J. Editorial: Incident command systems: A dynamic tension among goals, rules and practice. Journal of Contingencies and Crisis Management, 2014, 22(1): 1-4

[5]

Boin A, Hart P. Public leadership in times of crisis: Mission impossible?. Public Administration Review, 2003, 63(5): 544-553

[6]

Borgatti, S.P., M.G. Everett, and L.C. Freeman. 2002. Ucinet for Windows: Software for social network analysis. Analytic Technologies.

[7]

Bryson JM, Crosby BC, Stone MM. The design and implementation of cross-sector collaborations: Propositions from the literature. Public Administration Review, 2006, 66(s1): 44-55

[8]

Burkle FM, Hsu EB, Loehr M, Christian MD, Markenson D, Rubinson L, Archer FL. Definition and functions of health unified command and emergency operations centers for large-scale bioevent disasters within the existing ICS. Disaster Medicine and Public Health Preparedness, 2007, 1(2): 135-141

[9]

Butts CT, Petrescu-Prahova M, Remy Cross BR. Responder communication networks in the World Trade Center disaster: Implications for modeling of communication within emergency settings. Journal of Mathematical Sociology, 2007, 31(2): 121-147

[10]

Comfort LK, Zhang HB. Operational networks: Adaptation to extreme events in China. Risk Analysis, 2020, 40(5): 981-1000

[11]

Comfort LK, Haase TW. Communication, coherence, and collective action: The impact of Hurricane Katrina on communications infrastructure. Public Works Management and Policy, 2006, 10(4): 328-343

[12]

Comfort LK, Waugh WL, Cigler BA. Emergency management research and practice in public administration: Emergence, evolution, expansion, and future directions. Public Administration Review, 2012, 72(4): 539-547

[13]

Comfort LKK, Haase TW, Ertan G, Scheinert SR. The dynamics of change following extreme events: Transition, scale, and adaptation in systems under stress. Administration and Society, 2020, 52(6): 827-861

[14]

Cooper T. Empirical research on inter-organizational relations within a national disaster management network in the Caribbean. Public Organization Review, 2015, 15(1): 1-16

[15]

Du L, Feng YB, Tang LYN, Kang W, Lu W. Networks in disaster emergency management: A systematic review. Natural Hazards, 2020, 103(1): 1-27

[16]

Guo XS, Kapucu N. Network performance assessment for collaborative disaster response. Disaster Prevention and Management, 2015, 24(2): 201-220

[17]

Guo XS, Kapucu N. Examining collaborative disaster response in China: Network perspectives. Natural Hazards, 2015, 79(3): 1773-1789

[18]

Guo, X.S., N. Kapucu, and J.X. Huang. 2021. Examining resilience of disaster response system in response to COVID-19. International Journal of Disaster Risk Reduction 59: Article 102239.

[19]

Htein MK, Lim S, Zaw TN. The evolution of collaborative networks towards more polycentric disaster responses between the 2015 and 2016 Myanmar floods. International Journal of Disaster Risk Reduction, 2018, 31: 964-982

[20]

Hu Q, Kapucu N. Information communication technology utilization for effective emergency management networks. Public Management Review, 2016, 18(3): 323-348

[21]

Hu Q, Knox CC, Kapucu N. What have we learned since September 11, 2001? A network study of the Boston Marathon bombings response. Public Administration Review, 2014, 74(6): 698-712

[22]

Hunt S, Smith K, Hamerton H, Sargisson RJ. An incident control centre in action: Response to the Rena oil spill in New Zealand. Journal of Contingencies and Crisis Management, 2014, 22(1): 63-66

[23]

Jung K, Park HW. Tracing interorganizational information networks during emergency response period: A webometric approach to the 2012 Gumi chemical spill in South Korea. Government Information Quarterly, 2016, 33(1): 133-141

[24]

Jung KJ, Song MS. Linking emergency management networks to disaster resilience: Bonding and bridging strategy in hierarchical or horizontal collaboration networks. Quality and Quantity, 2015, 49(4): 1465-1483

[25]

Kapucu N. Interagency communication networks during emergencies – Boundary spanners in multiagency coordination. American Review of Public Administration, 2006, 36(2): 207-225

[26]

Kapucu, N. 2009. Interorganizational coordination in complex environments of disasters: The evolution of intergovernmental disaster response systems. Journal of Homeland Security and Emergency Management 6(1): Article 47.

[27]

Kapucu N, Hu Q. Understanding multiplexity of collaborative emergency management networks. American Review of Public Administration, 2016, 46(4): 399-417

[28]

Kapucu N, Arslan T, Collins ML. Examining intergovernmental and interorganizational response to catastrophic disasters: Toward a network-centered approach. Administration and Society, 2010, 42(2): 222-247

[29]

Kapucu N, Garayev V. Structure and network performance: Horizontal and vertical networks in emergency management. Administration and Society, 2016, 48(8): 931-961

[30]

Kim, J., and K. Ashihara. 2020. National disaster management system: COVID-19 case in Korea. International Journal of Environmental Research and Public Health 17(18): Article 6691.

[31]

Ku, M.Y., A.H. Han, and K.H. Lee. 2021. The dynamics of cross-sector collaboration in centralized disaster governance: A network study of interorganizational collaborations during the MERS epidemic in South Korea. International Journal of Environmental Research and Public Health 19(1): Article 18.

[32]

Lazer D, Friedman A. The network structure of exploration and exploitation. Administrative Science Quarterly, 2007, 52(4): 667-694

[33]

Liu Y, Wu JN, Yi HT, Wen J. Under what conditions do governments collaborate? A qualitative comparative analysis of air pollution control in China. Public Management Review, 2021, 23(11): 1664-1682

[34]

Malone EL, Kinnear S. How and why: Complementary analyses of social network structures and cultural values: Improving flood response networks in Queensland. Australia. Quality and Quantity, 2015, 49(1): 203-220

[35]

Ministry of Emergency Management of China. 2021. The Ministry of Emergency Management releases the basic situation of natural disasters in China in 2020. https://www.mem.gov.cn/xw/yjglbgzdt/202101/t20210108_376745.shtml. Accessed 10 Dec 2023.

[36]

Moynihan DP. The network governance of crisis response: Case studies of incident command systems. Journal of Public Administration Research and Theory, 2009, 19(4): 895-915

[37]

Quinn E, Johnstone T, Najjar Z, Cains T, Tan G, Huhtinen E, Nilsson S, Burgess S, Dunn M, Gupta L. Lessons learned from implementing an incident command system during a local multiagency response to a legionnaires’ disease cluster in Sydney, NSW. Disaster Medicine and Public Health Preparedness, 2018, 12(4): 539-542

[38]

Song M, Jung K. Filling the gap between disaster preparedness and response networks of urban emergency management: Following the 2013 Seoul Floods. Journal of Emergency Management, 2015, 13(4): 327-338

[39]

Stata. 2022. Web page. https://www.stata.com/. Accessed 10 Nov 2022.

[40]

Tang P, Deng CF, Shao SQ, Shen GQ. Leveraging intergovernmental and cross-sectoral networks to manage nuclear power plant accidents: A case study from China. Journal of Cleaner Production, 2017, 162: 1551-1566

[41]

Tao ZG, Zhang HB. The emergence of complex adaptive response networks in China: A case study of four disasters. Risk Analysis, 2023, 43(11): 2223-2240

[42]

Waugh WL, Streib G. Collaboration and leadership for effective emergency management. Public Administration Review, 2006, 66(s1): 131-140

[43]

Willem A, Buelens M. Knowledge sharing in public sector organizations: The effect of organizational characteristics on interdepartmental knowledge sharing. Journal of Public Administration Research and Theory, 2007, 17(4): 581-606

[44]

Zhang, H.B., and W. Chen. 2022. Social media support mechanisms for organizational adaptation in governmental response to extreme natural hazards. Natural Hazards Review 23(2). https://doi.org/10.1061/(ASCE)NH.1527-6996.0000555.

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