Search results

The purpose of this paper is to elaborate pros and cons of two coding methods: the rapid network assessment (RNA) and the manual content analysis (MCA). In particular, it focuses on the applicability of a new rapid data extraction and utilization method, which can contribute to the timely coordination of disaster and emergency response operations.

Utilizing the data set of textual information on the Superstorm Sandy response in 2012, retrieved from the LexisNexis Academic news archive, the two coding methods, MCA and RNA, are subjected to social network analysis.

The analysis results indicate a significant level of similarity between the data collected using these two methods. The findings indicate that the RNA method could be effectively used to extract megabytes of electronic data, characterize the emerging disaster response network and suggest timely policy implications for managers and practitioners during actual emergency response operations and coordination processes.

Considering the growing needs for the timely assessment of real-time disaster response systems and the emerging doubts regarding the effectiveness of the RNA method, this study contributes to uncovering the potential of the RNA method to extract relevant data from the megabytes of digitally available information. Also this research illustrates the applicability of MCA for assessing real-time disaster response networks by comparing network analysis results from data sets built by both the RNA and the MCA.

The increasing risk of natural disasters is challenging humanitarian actors to create resilient disaster management systems. However, the role of the private sector in disaster management operations (DMOs) is not as prominent as the role played by (inter)governmental agencies. This article aims to investigate the relationship of collaboration and resilience in disaster management supply networks (DMSNs).

Supply network resilience criteria were defined as robustness, flexibility, velocity and visibility based on the literature review. DMSN capabilities were identified characterising each resilience criterion through the development of the Collaboration–Resilience (COLRES) Analysis Framework for DMSNs. This theoretical model was then applied to an empirical case study in the Philippines using semi-structured interviews for data gathering.

A total of 46 cross-sector collaboration activities were identified across four disaster management phases and linked to the resilience criteria. A causal analysis of each collaboration activity and its outcome was conducted to identify relationships between collaboration types and resilience constructs. Based on these results, patterns were identified, and dependencies between collaboration and resilience were defined. Collective DMSN resilience (DMSNRES) enabled by existing cross-sector collaboration activities was evaluated against a future disaster scenario to identify resilience gaps. These gaps were used to recognise new cross-sector collaboration opportunities, thereby illustrating the continuous process of resilience building.

This research provides new insights on how private sector is involved within a DMOs through collaboration with the government and other NGOs. It augments existing literature on private sector involvement in DMOs where common perception is that the sector is only involved in short-term response and recovery activities. This study finds that the private sector can be operationally involved not just in post-disaster activities, but also in mitigation and preparation phases as well. This then sets a new baseline for further research on private sector involvement within DMOs. As this study provided a novel framework to analyse collaboration activities and its impact to DMSN resilience, future work could be done by applying the model to further cases such as other countries'. DMSNs, or to more specific contexts such as inter-organisational collaborations rather than big sectors. A more detailed assessment method against a future disaster will prove relevance for the model in providing practical insights on how resilience can be built in DMSNs.

This research proposed a novel DMSN collaboration-resilience (COLRES) model (Figure 11) to analyse existing processes in preparation for specific disasters. Practitioners may be able to use this model with the goal of identifying resilience gaps to fill and continuously improve their processes. The model also provides practitioners the lens to improve processes with the perspective on collaboration to complement government and NGO efforts and expertise with those of the private sector. For the private sector perspective, this research provides new insights on how they can be more involved with the community to provide more sustainable and long-term contributions to the society.

With disasters becoming more complex and frequent by the day and as humanitarian actors focus on improving their expertise, the need for every piece of the society to contribute to disaster risk reduction is continuously intensified. This research shows that each sector of the society can take part in disaster management operations to reduce unpredictability, lives impacted and increase speed of response and recovery. Each sector of the society can be of great contribution not only during post-disaster response and recovery but also during pre-disaster mitigation and preparedness phase. As such, this research echoes the call for everyone to be involved in disaster risk reduction and mitigation as a way of life.

This research ultimately finds that cross-sector collaboration builds resilience in DMSNs through capacity building, redundancy sourcing, information reliability and logistics responsiveness. This study shows that the private sector is able to go beyond existing short-term partnerships by participating in the 46 collaboration activities identified across four disaster management phases in order to build resilience in DMSNs.

When catastrophic disasters recently occurred, digital volunteer networks formed by the public emerged across the globe. They aggregated, analyzed and visualized disaster data. Those volunteer networks sometimes shared their data with formal response organizations. Such data sharing and integration increased the capacity of formal response organizations for dealing with disasters. However, despite the emergence and contributions of digital volunteer networks, the literature has been focused primarily on the role of formal response organizations such as emergency management agencies and the Red Cross. The purpose of this paper is to describe how technical and organizational factors influence collaboration between digital volunteer networks and formal response organizations.

This research employs a case study method, focusing on the 2015 Nepal earthquake.

This study found that information technology and a shared understanding of disaster situations and how to address disasters are key determinants of collaboration between digital volunteer networks and formal response organizations.

This research is expected to contribute to building an integrated emergency response system in the information age.

This paper aims to examine a large-scale typhoon response coordination, focusing on the emergency collaborative network (ECN) configuration and structural properties that characterized the 2018 Typhoon Mangkhut response operations in Shenzhen, China.

The response coordination of Typhoon Mangkhut was operationalized as a Shenzhen-based ECN established upon a six-week observation. A systematic content analysis of publicly available government documents and newspaper articles was conducted to identify participating organizations and interorganizational relationships built and sustained during and immediately after the disaster. Social network metrics at levels of the node, subgroup of nodes and whole network were utilized to examine network capacity, network homophily and network performance, respectively.

Results of the centrality analysis demonstrate that government agencies at municipal and district/county levels took central network positions while private and non-profit organizations were mostly positioned at the network periphery. The blocking analysis points to a salient homophily effect that participating organizations sharing similar attributes were more likely to connect with each other. A further investigation of whole network metrics and the small-world index reveals the highly fragmented and discontinued features of ECN, which may result in unsystematic coordination among organizational actors.

This paper is distinctive in examining the coordination structure among response organizations embedded in a centralized and monocentric governance system and, more importantly, how the structural characteristics can differ from that evidenced in a more decentralized and polycentric system.

The purpose of this paper is to introduce a novel approach to studying disaster management operations: the emergence of coordination-clusters in long-term rehabilitation projects and innovation dynamics in coordination-clusters.

The problem addressed is examining the coordination dynamics in long-term rehabilitation operations. A mixed methods research approach was adopted where a combination of qualitative and quantitative techniques was used for data collection and analysis to study the phenomenon of the coordination evolution in long-term rehabilitation projects.

The results indicate resilience in the behavior of involved actors from different organizations as they re-organize into coordination-clusters and collectively work to overcome the unfolding challenges of long-term rehabilitation projects in areas affected by major disaster.

The results provide some answers to the question of how to map and analyze the phenomenon of coordination-clusters and their consequent coordination dynamics, and thereby steps to redesign the approach to execute long-term rehabilitation projects in places affected by major disasters.

The combination of Actor-network theory and critical incident technique with social network analysis and community detection provides an integrated network-based view of coordination dynamics in long-term recovery operations. Such perspective would broaden the empirical basis for the planning and management of complex disaster management operations.

The results of the research offer a new approach to study coordination dynamics in disaster management operations. The proposed method provides a tool to examine the evolution of processes involved with the recovery phase of a disaster management cycle.

This study aims to demonstrate how governmental authorities can take interorganizational network responses to address unexpected situations developed by the breakdown of critical infrastructure, such as communication failure in a hyperconnected society.

This study uses social network analysis to investigate the performance of interorganizational response networks regarding the 2018 KT network blackout, a failure of telecommunication facility, compared to the planned network.

The national fire agency was the most prominent actor in the actual interorganizational network, while the actor was not significant in the planned network in addressing unexpected needs. Moreover, top government authorities were involved in the actual response network because of the national attention on the breakdown of the infrastructure as a focusing event.

Unexpected conditions in the actual response to a technological disaster, such as a critical infrastructure (CI) breakdown, require the involvement of emerging or non-significant actors in accordance with the findings related to other types of disasters. Particularly, communication failure in a hyperconnected society may involve prominent government authorities in the actual interorganizational response because of the event's broad and severe impact on the functions of society.

Development of a disaster response plan at a national level is regarded as the best way to undertake country-level disaster management in a well-coordinated manner, involving all stakeholders in well-built networks. Where developed national disaster response plans (NDRPs) are to be subjected to evaluative assessments from time to time to establish their strengths and weaknesses in disaster response processes. Only about 20 of the world's 195 countries have NDRPs, and only three of them have undergone some form of evaluation. This paper contributes toward filling this gap by evaluating the NDRP of the Federal Republic of Nigeria. Lessons from the implementation of this NDRP will help guide the development of the plans in countries where they do not yet exist.

Network and qualitative content analysis was employed to subject the Nigerian NDRP to critical evaluation using standards already established in the literature for the development of management networks and their use in disaster response. The experiences of other countries with developed NDRPs were also used to guide an effective evaluation process.

Findings of the study show that the Nigerian NDRP is deficient in many respects, particularly in the areas of weak development of networks, absence of roles-differentiation for various stakeholders, lack of specified achievable and hence monitorable targets, objectives and outcomes and absence of detailed response plans for specific disaster types. The plan needs to therefore be subjected to a detailed multidisciplinary and multi-stakeholder review to get it strengthened.

This is the first attempt to conduct an evaluative assessment of Nigeria's NDRP and the 4th in the world. The study's findings can help not only to strengthen Nigeria's NDRP, but also to develop similar plans in other countries around the world.

The research areas of humanitarian supply chain (HSC) and disaster and humanitarian operations (DHO) have evolved through the use of managerial models. Recent studies, however, point to the need for the empirical validation of such managerial models in real-life scenarios. Therefore, the present study aims to investigate the validation of recent managerial models based on empirical data of two disasters in Haiti: the earthquake in 2010 and Hurricane Matthew in 2016.

This research developed two case studies from the perspective of the Brazilian Navy (BN), a part of the Brazilian Armed Forces that led the United Nations Mission for Stabilization in Haiti (MINUSTAH) in both disasters. The case studies focused on empirically validating managerial models for stakeholder identification, stakeholder satisfaction, response processes, strategies for collaboration and the integration of these models.

The results revealed that compared to the response to the earthquake in 2010, the response to Hurricane Matthew in 2016 was superior. The collaborative strategies of the BN and other stakeholders used after the earthquake were more reactive, while the strategies after Hurricane Matthew aimed more at planning and anticipating adverse situations.

This research reinforces the investigated managerial models and indicates their suitability as planning tools for practitioners of HSC and DHO, which is essential for the further development of academic contributions related to integrating the models into more robust solutions.

Disaster management information systems (DMISs) have been proposed in different parts of the world for effective response to a disaster. The purpose of this paper is to: compare design approaches of these DMISs; examine similarities in the design of databases and communication infrastructure; and draw conclusions. Based on the examination of the studies, future opportunities have been identified and discussed.

The studies in the available literature on the designs of automated DMISs have been reviewed in the presented paper to identify similarities in design premise, conceptual design and design considerations.

The examination of the available studies indicates that the research on DMIS has increased significantly in different countries of the world since 2004. Data of baseline information and available resources are required by most of the presented studies, as these data are necessary for effective response to a disaster. The communication infrastructures suggested include local area network, wide area network and satellite communication for better coordination between the responders and different relief agencies at different locations. The connectivity to these networks is possible through Ethernet, Wi-Fi, general packet radio service or satellite.

Although the research on DMIS has increased significantly over the last one decade, the studies are still few in numbers. Similarly, only few of the proposed systems have been developed and tested during a real disaster.

The presented review of available studies provides a holistic view of the proposed DMISs which could be useful to the disaster management authorities.

The paper provides valuable information on the differences in the proposed DMISs. This can help in identifying the gaps for future improvements for increased effectiveness of a DMIS. The future opportunities have also been identified in the presented paper and are discussed.

The purpose of this paper is to identify the present structure of the Korean disaster-safety industry and propose ways to promote it.

The background of the emergence of the disaster and safety industry in Korea is reviewed, and business networks of 91 companies belonging to the disaster and safety industry in Korea are identified and analysed through a network analysis.

Korean Government is struggling to nurture the disaster and safety industry as it has been on last few decades. This paper finds that the current industry has an ambiguous market structure, and the industry tends to depend highly on the demand of public institutions.

The concept of the disaster and safety industry is not well established in other countries except for Korea. If Korea successfully fosters its disaster and safety industry through its proper understanding, it would bring both disaster risk reduction and economic benefits.

This paper analyses the market structure of the disaster and safety industry, which is uniquely emerging in Korea and rarely designated as an industry in other countries.