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Disaster mutual assistance (DMA) or mutual aid is a reciprocal arrangement between organizations that permits and prearranges one company to access resources from another company to recover from disaster impacts faster. As a practical tool to access response resources quickly, DMA can be an important element of an effective emergency management process, but the decision to provide (or not to provide) DMA is challenging and involves a number of factors. The purpose of this paper is to present the results of a study conducted to identify DMA decision criteria and their weights based on electricity companies operating in North America.

The authors employed a combination of Delphi and analytical hierarchy process (AHP) methods. Delphi method identified the decision criteria that should be considered before electricity utilities enact their DMA agreements. A standard AHP calculated the weights of identified DMA criteria.

In total, 11 criteria were identified and classified into three main groups: responding criteria, requesting criteria and disaster criteria. Of the 11, “Emergency Conditions” within the responding criteria group, “Extent of Damage” of the requesting criteria group, and “Size of Disaster”, associated with the disaster criteria group, had the highest weight. Three other factors (“Work Safety Practice”, “Natural Hazards” and “Availability of Resources”) carried a noticeable weight difference, while the remaining factors were weighted relatively lower.

At present, a decision to provide mutual assistance is highly subjective, based on “gut feel”, and dependent on interpersonal relationships between the requestor and the provider. However, mobilizing and dispatching electricity industry crews is a risky and costly operation for both requesting and responding companies and requires careful assessment for which a cost-benefit threshold has not been developed. This cost-benefit perspective is often frowned upon owing to the intended altruistic nature of DMA agreements and its influence on decision makers. The developed criteria in this study are intended to assist electricity companies in making a more informed and quantifiable decision when deliberating a request for mutual assistance. These criteria may also be used by assistance-requesting companies to better identify electricity companies that are more likely to provide assistance to them.

This study contributes to the literature by examining the current state of DMA in electricity utilities, identifying decision criteria and weighing such criteria to enable electricity companies in making more objective decisions, thereby, increasing the overall effectiveness of their disaster management process.

Pertinent information sharing across various government agencies, as well as non‐governmental and private organizations, is essential to assess the incident situation, identify the needed resources for emergency response and generate response plans. However, each agency may have incident management systems of its choice with valuable information in its own format, posing difficulty in effective information sharing. Application‐to‐application sharing cross agency boundaries will significantly reduce human efforts and delay in emergency response. Information sharing from disparate systems and organizations, however, requires solving of the interoperability issue. The purpose of this paper is to present the UICDS™‐based resource sharing framework as a step toward addressing the afore‐mentioned challenges.

A prototype middleware system is developed using a standards‐based information sharing infrastructure called UICDS™ (Unified Incident Command and Decision Support™), an initiative led by the Department of Homeland Security (DHS) Science and Technology division. This standards‐based middleware, resource management plug‐in utilizes the ontology of organizational structure, workflow activities and resources, and the inference rules to discover and share resource information and interoperability from different incident management applications.

The middleware prototype implementation shows that the UICDS™‐based interoperability between heterogeneous incident management applications is feasible. Specifically, the paper shows that the resource data stored in the Resource Directory Database (RDDB) of the NJ Office of Emergency Management (NJOEM), Hippocrates of the New Jersey Department of Health and Senior Services (NJDHSS) can be discovered and shared with other incident management systems using the ontology and inference rules.

This study illustrates the possible solutions to the application to application interoperability problem using the DHS initiated interoperability platform called UICDS™.

The resource discovery and emergency response planning can be automated using the incident domain ontology and inference rules to dynamically generate the location‐based incident response workflows.

This paper aims to explore the concept of resilience both through conceptual lenses and an applied relevance and importance to the tourism and hospitality industry in the context of identifying the most effective approaches to cope with the worldwide epidemic of COVID-19.

This conceptual paper is based on a comprehensive literature review and strategic interdisciplinary analysis as a basis for comprehensive policy recommendations.

This paper suggests five clusters of globally applicable measures and approaches aimed to enhance the resilience of the tourism and hospitality industry in the face of COVID-19 and more broadly in the face of other regional and global large-scale disasters: fostering adaptive and creative leadership; humility and cautious navigating through a deep uncertainty; flexibility in building on the unknown; enhancing social capital; and developing mutual respect and positive interconnectivity among the various stakeholders.

Through policy-driven applied conceptual analysis, this paper provides the various audiences in the travel and hospitality sector across the globe with an original, flexible and strategic approach to effectively respond to the multiple cascading effects of COVID-19.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.

The problem of poverty in the Muslim world has been posing multi-faceted challenges to the life of individuals and the relations of people. Although this problem has been gaining scholarly attention and raised in relation to various issues ranging from social injustice, rampant corruption, societal instability, wide social polarization and insurgent movements that affect the regional peace and stability at large, neither effective economic mechanism proposed nor implemented to address the problem effectively. In this regard, it is also important to appreciate the recent initiations in the field of Islamic economics to present an optional view to the existing and alien economic models in the Muslim world. Therefore, the purpose of this study is to fill up this research gap by proposing a model of mobilizing funds through the global cash-waqf institution.

The study adopts content analysis to construct this global cash waqf model for poverty alleviation in Muslim countries.

The “global cash-waqf model” was proposed as an alternative that could be implemented and used to overcome the poverty matter in Muslim countries. It is assumed that the model will facilitate the fund mobilization among Muslim countries, which in return is going to assure full distribution and redistribution of wealth to eradicate the poverty in the Muslim world. The model was structured with a global vision in both the collection side and the distribution side.

The model will facilitate the fund’s mobilization among Muslim countries, which in return achieves an Islamic goal of distribution and redistribution of wealth to assure the well-being of all humanities in the society.

As communities grappled with a slew of concurrent disasters in 2020, grassroots mutual aid regained prominence, providing lessons for a more equitable approach to emergency management. Within emergency management, “mutual aid” has come to mean the specific legal mechanisms by which governments, non-governmental organizations, and private sector entities share resources. However, the term “mutual aid” has a much longer history of functioning outside of government and emergency management circles. With a recorded history in Black and Creole communities dating back to the mid-1700s, it has been widely used within communities of color for centuries. To see grassroots mutual aid in practice, the authors present a case study of Imagine Water Works’ Mutual Aid Response Network (MARN) in New Orleans, which was developed in 2019 and responded to the COVID-19 pandemic and a record-breaking Gulf Coast hurricane season in 2020. Utilizing Facebook as a platform, the MARN’s “Imagine Mutual Aid (New Orleans)” group saw its membership grow by 5,000 members from March 2020 to March 2021. Within the first week of Hurricane Laura’s landfall, the group welcomed evacuated individuals from Southwest Louisiana and quickly facilitated thousands of requests for support, providing food, housing, clothing, medical devices, emotional support, emergency cash, laundry services, and personalized care for those in non-congregate shelters, as well as locally informed flood and hurricane preparedness information for subsequent storms. Grassroots mutual aid sheds light on root causes and existing gaps within emergency management and provides a model for autonomous community care.

The earthquake and tsunami that struck eastern Japan on March 11, 2011, not only caused extensive direct damage to the population but also triggered a nuclear power plant accident that brought the terror and reality of radiation. The restoration of communities in Iwate, Miyagi, and Fukushima Prefectures presents enormous problems. People from the radiation-contaminated areas have faced numerous ordeals since resettlement after the accident. Through personal interviews with victims, this chapter investigates what happened in the regional societies and how community consciousness changed as a result of the combined natural and manmade catastrophes. The study focuses on the restoration of community from social bonds through mutual help networks as a spontaneous social order. As the result of interviewing, some propositions were developed concerning the transformation of mutual help networks. The stronger the outside assistance from volunteers whom the victims came to trust and rely on, the weaker inside communal help becomes. Inventorying and clarifying the particular problems of conflict in stricken communities such as the loss of confidence in neighbors, the possibilities of rebuilding communities are explored, especially indicating how to cope with the social demise of communities that local people had formed and occupied all their lives.

Background: The study focuses on the challenges encountered during the distribution of food and face-mask items during the first COVID-19 lock-down by various relief supply chain actors.

Methods: Data were collected from forty (40) relief actors through online (via Zoom and telephones) and face-to-face interviews, between January 2021 to March 2021. Data was coded based on per-determined themes after which it was further processed using Atlas ti. v7.57 to generate patterns.

Results: The study established challenges related to needs identification, procurement, warehousing, transportation, handling, beneficiary verification, and last-mile distribution. Additionally, the media and politics coupled with the emergence of new actors and governance issues were part of the challenges identified.

Conclusions: The identified challenges were internal and external to the relief supply chain; hence actors could have control over some while others were beyond their control. The findings could inform practitioners and policymakers on what challenges are likely to affect their operations, especially during a pandemic, and design appropriate coping mechanisms.

Floods are among the most significant and frequent hazards to affect communities in the downstream part of the Ba River in Western Viti Levu, Fiji Islands. They often leave in their wake displacements and death putting thousands at risk of sliding into poverty. Using the recent 2009 and 2012 floods, we examine how social capital aids in post-disaster response and recovery among residents in five selected villages in the downstream communities of the Ba River. Data were collected from a questionnaire survey administered to 97 households and semi-structured interviews with a further 20 respondents. It is conventionally believed that moving supplies, aid and expertise into flood-affected areas offers the best path to effective response and recovery. By contrast, our results indicate that residents of downstream communities in Ba District are using four approaches to create and deploy social capital among them to facilitate disaster response. The patterns of social capital used for effective response include practices of search and rescue, information, mutual assistance and commercial cooperation. Such strategies help to build resilience at household and community levels and reduce risks of loss of life and costly damage to property. The findings can be used to generate policies concerning the integration of social capital as a component of flood disaster response and recovery mechanisms.