The objective of this proposed research is to test whether interorganizational collaboration contributes to the ability of an organization to bounce back swiftly from disasters. The research questions are examined from the Institutional Collective Action (ICA) perspective. The general argument of this dissertation is that organizational resilience can be explained by interorganizational collaboration. The ICA framework, specifically, identifies two general network structures to explain strategies that can be adopted to minimize collaboration risks: bonding and bridging structures. This dissertation focuses on how governmental and nongovernmental organizations in South Korea collaborated. The data was collected from the southeastern tip of the Korean Peninsula in August of 2012, and January of 2013. The 2012 Typhoons devastated the area after the first data set was collected in August 2012, causing the loss of estimated US$ 730 million and 29 fatalities. Afterward, the second survey was administrated in January of 2013 to gauge respondents’ views on how organizations responded to the disasters. This dissertation consists of three essays. The first essay presents a brief overview and assessment of the current research on resilience. The second essay empirically tests the sources of organization resilience. The third essay examines the dynamic nature of interorganizational ties by employing stochastic actor-based models. The findings show how organizations prefer to not coordinate with other organizations even though this could reduce their strains during a disaster. The findings also suggest that organizations that operate in higher risk areas or participate in joint full-scale exercises before a disaster form interorganizational ties afterward.

The Philippines is considered one of the most vulnerable countries in the world to climate disasters due to a combination of its geospatial, political, economic, and social attributes. The nation gets hit with an average of 20 annual tropical cyclones, also known as typhoons, and through the process of climate change, these events are only growing in both frequency and magnitude. In the coastal capital city of Metro Manila, climate change coupled with rapid and unplanned urbanization has led to increased vulnerabilities of populations, infrastructures, and increased inequalities.  This thesis aims to assess the current disaster risk reduction and management (DRRM) frameworks present within the nation and National Capital Region (NCR), through a case study approach of the 2020 typhoons: Quinta, Rolly, and Ulysses. It presents findings through four thematic pillars of disaster prevention and mitigation, preparedness, response and early- recovery, and recovery and rehabilitation. It uses the perspectives of three key informants from the Office of Civil Defense (OCD), the Philippine Disaster Resilience Foundation (PDRF), and the Asian Development Bank (ADB), as well as additional diversified perspectives.  Findings suggest that DRRM has evolved since the implementation of the Republic Act No 10121 (RA 10121), or the Philippine Disaster Reduction and Management Act of 2010, however, can still be improved to tackle root causes of vulnerabilities. I use Roberts and Pelling’s (2020) transformation as liberation model as a theoretical framework to generate recommendations to policymakers that can help address vulnerabilities to typhoons. These recommendations include increasing participation and inclusivity within policy and decision making, creating a formal mechanism to measure vulnerabilities and inform future DRRM policies, and finally to reframe climate change and disaster risks as a socio-ecological issue rather than just an environmental one. / Filippinerna anses vara ett av de mest sårbara länderna i världen för klimatkatastrofer på grund av en kombination av dess geospatiala, politiska, ekonomiska och sociala egenskaper. Nationen drabbas av i genomsnitt 20 årliga tropiska cykloner, även kända som tyfoner, och genom klimatförändringsprocessen växer dessa händelser bara i både frekvens och omfattning. I kusthuvudstaden Metro Manila har klimatförändringar i kombination med snabb och oplanerad urbanisering lett till ökad sårbarhet hos befolkningar, infrastrukturer och ökade ojämlikheter.  Denna avhandling syftar till att bedöma de nuvarande ramverken för katastrofriskminskning och -hantering (DRRM) som finns i landet och i National Capital Region (NCR), i fallet med tyfonerna 2020: Quinta, Rolly och Ulysses. Avhandlingen illustrerar resultaten genom fyra tematiska pelare: förebyggande och begränsning av katastrofer, beredskap, insatser och tidig återhämtning samt återhämtning och rehabilitering. Detta görs utifrån tre nyckelinformanters perspektiv, från Office of Civil Defense (OCD), Philippine Disaster Resilience Foundation (PDRF) och Asian Development Bank (ADB).  Resultaten tyder på att nuvarande DRRM-policyer vidmakthåller orättvisa mönster i nationen och det borde tillämpas en förändring som befrielsemodell, baserad på Roberts och Pelling (2020), för att främja en mer rättvis och hållbar hantering av tyfoner i landet. Därför rekommenderas det att DRRM-policyer ökar deltagande och inkludering inom policy- och beslutsfattande, skapa en formell mekanism för att mäta sårbarheter och informera framtida DRRM-policyer, och slutligen att omformulera klimatförändringar och katastrofrisker som socioekologiska frågor snarare än bara miljömässiga sådana.

Approved for public release, distribution is unlimited / occurring most frequently. For the 217 large-error cases due to midlatitude influences, the most frequent error mechanisms were E-DCI (midlatitude), excessive response to vertical wind shear, excessive midlatitude cyclogenesis (E-MCG), insufficient midlatitude cyclogenesis (I-MCG), excessive midlatitude cyclolysis (E-MCL) and excessive midlatitude anticyclogenesis (E-MAG), which accounted for 68% of all large errors occurring in both NOGAPS and GFDN. Characteristics and symptoms of the erroneous forecast tracks and model fields are documented and illustrative case studies are presented. Proper identification and removal of the track forecast displaying an error mechanism could form a selective consensus that will be more accurate than a non-selective consensus. / Captain, United States Air Force