![]() ![]() Rand Corporation, Santa MonicaĬlauset A, Shalizi C, Newman M (2009) Power-law distributions in empirical data. Soc Netw 13(3):203–221Ĭhandra A, Acosta J (2009) The role of nongovernmental organizations in long-term human recovery after disaster: Reflections from Louisiana four years after Hurricane Katrina. J Math Soc 31(2):121–147Ĭampbell KE, Lee BA (1991) Name generators in surveys of personal networks. Annu Rev Soc 6(1):79–141īutts CT, Petrescu-Prahova M, Cross BR (2007) Responder communication networks in the world trade center disaster: implications for modeling of communication within emergency settings. Public Adm Rev 66(1):44–55īurt RS (1980) Models of network structure. Nature 463(7283):878–879īryson J, Crosby B, Stone M (2006) The design and implementation of cross-sector collaborations: propositions from the literature. Inf Syst Front 12(1):49–65īilham R (2010) Lessons from the Haiti earthquake. Ind Mark Manag 29(5):411–426īharosa N, Lee J, Janssen M (2010) Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises. Soc Forces 75(1):201–222īengtsson M, Kock S (2000) Coopetition in business networks to cooperate and compete simultaneously. Int J Public Sect Manag 21(1):4–25īeggs JJ, Haines VA, Hurlbert JS (1996) Situational contingencies surrounding the receipt of informal support. Syst Pract 3(6):521–524īeamon BM, Balcik B (2008) Performance measurement in humanitarian relief chains. This paper provides insight into how agencies involved in disaster relief could manage their partnerships to achieve their goals.Īckoff RL (1990) Redesigning the future: strategy. ![]() Additionally, it was found that partnerships between Non-Governmental Organizations were the most stable relationship. One key result was that the survey data indicated only a third of the strategic and tactical partnerships that were leveraged to support the relief effort were formalized prior to the disaster event. The analysis of the data provides a building block to guide the development of inputs for future models of agency behavior and interaction. 80 agencies were interviewed and over 500 partnerships were analyzed. The objective of this paper is to analyze partnership creation, length, and conclusion in networks of agencies responding to disasters. Specifically, the studies discussed explore how agencies involved in disaster relief operations formed and maintained partnerships by comparing survey results from Joplin, Missouri (EF-5 Tornado in 2011) and the New Jersey Coast (Hurricane Sandy in 2012). In this paper, we review studies of two different disasters that occurred in the USA to provide insight into some of the common characteristics of disaster relief efforts. Information about how agencies behaved in previous disasters could allow us to predict agency behavior and network structure in response to future events. ![]()
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