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This study seeks to provide insights into corporate achievements in supply chain management (SCM) and logistics management and to detail how they might help disaster agencies. The authors aim to highlight and identify current practices, particularities, and challenges in disaster relief supply chains.

Both SCM and logistics management literature and examples drawn from real‐life cases inform the development of the theoretical model.

The theoretical, dual‐cycle model that focuses on the key missions of disaster relief agencies: first, prevention and planning and, second, response and recovery. Three major contributions are offered: a concise representation of current practices and particularities of disaster relief supply chains compared with commercial SCM; challenges and barriers to the development of more efficient SCM practices, classified into learning, strategising, and coordinating and measurement issues; and a simple, functional model for understanding how collaborations between corporations and disaster relief agencies might help relief agencies meet SCM challenges.

The study does not address culture‐clash related considerations. Rather than representing the entire scope of real‐life situations and practices, the analysis relies on key assumptions to help conceptualise collaborative paths.

The study provides specific insights into how corporations might help improve the SCM practices by disaster relief agencies that continue to function without SCM professional expertise, tools, or staff.

The paper shows that sharing supply chain and logistics expertise, technology, and infrastructure with relief agencies could be a way for corporations to demonstrate their good corporate citizenship. Collaborations between corporations and disaster agencies offer significant potential benefits.

The purpose of this paper is to introduce a 3R (right time, right place, and right material) principle for characterizing failure in humanitarian/relief supply chains’ response to natural disasters, and describes a Bayesian methodology of the failure odds with regard to external factors that may affect the disaster-relief outcome, and distinctive supply chain proneness to failure.

The suggested 3Rs combine simplicity and completeness, enclosing all aspects of the 7R principle popular within business logistics. A fixed effects logistic regression model is designed, with a Bayesian approach, to relate the supply chains’ odds for success in disaster-relief to potential environmental predictors, while accounting for distinctive supply chains’ proneness to failure.

Analysis of simulated data demonstrate the model’s ability to distinguish relief supply chains with regards to their disaster-relief failure odds, taking into account pertinent external factors and supply chain idiosyncrasies.

Due to the complex nature of natural disasters and the scarcity of subsequent data, the paper employs computer-simulated data to illustrate the implementation of the proposed methodology.

The 3R principle offers a simple and familiar basis for evaluating failure in relief supply chains’ response to natural disasters. Also, it brings the issues of customer orientation within humanitarian relief and supply operations to the fore, which had only been implicit within the humanitarian and relief supply chain literature.

As the end of the United Nations International Decade for Natural Disaster Reduction approaches it is necessary to review what is known about global responses to catastrophes. Discusses four major weaknesses of the relief and mitigation community that are frequently identified in the disaster studies literature: the violation of human rights, a low degree of relief co‐ordination, difficulties and drawbacks of providing aid, and dilemmas of development. Offers possible solutions for these challenges and also highlights the implications of the findings for research and application. Gives direction to both academics and practitioners who are interested in disaster relief and prevention around the world.

The purpose of this paper is to develop a framework for disaster relief supply chain quality management (DRSCQM).

This paper introduces a structured approach to making decisions in the following areas: system foundation, system constraints, initial sudden natural disaster encounter point(s), the intensity of disaster, the efficacy of the disaster relief supply chain systems, and post-disaster relief management.

The context-intervention-mechanism-outcome logic provides guidelines for facilitating Lean Six Sigma to eliminate wastes and improve the overall performance of the DRSCQM.

The theoretical frameworks will enhance the current knowledge base in DRSCQM literature and will also be helpful to manage disaster relief operations and supply chains. However, there is a need to conduct empirical studies based on the proposed frameworks in the future.

A transformation process based on Dr Deming's plan-do-check-act cycle has also been proposed to show how a relief organization can assess its current maturity level, react to it, develop more sustainable disaster relief practices, and move the entire system in the right direction.

The systemic and holistic procedure developed in this paper views the environment of disaster relief as dynamic, complex, chaotic, and ever-changing and takes into account the fact that relief organizations’ actions often involve a team of diverse specialists working on a project basis.

The framework presented here helps to improve the efficiency and the effectiveness of disaster relief supply chain management. This is timely and important now as there continues to be an increase in climate-related natural disasters.

The purpose of this paper is to examine the impact of media attention on corporate disaster relief.

The authors used a matched sample research design, which is considered more appropriate than a random sample design for studying events that have low-occurrence rates in general. For each donor firm in the Yushu earthquake, the authors matched the firm with a non-donor firm in the same industry and with a firm size of within ±30 percent of the total assets in the year prior to the year of the occurrence of the Yushu earthquake. Then, using the Baidu engine, which is the most popular Chinese search engine, the authors captured the online media attention to the donor firms and their disaster relief.

The authors found that media attention drove corporate disaster relief.

Although the authors highlighted the role of the media as an important stakeholder in influencing corporate disaster relief, the authors did not fully explore the media’s influence. Future research should delve more deeply into the impact of the tenor of media coverage on corporate disaster relief.

This study reveals that the media, a particularly powerful stakeholder, can be a corporate disaster relief driver in China.

This paper identifies the challenges during a recent disaster relief operation in a developing country where the humanitarian response is dominated by national actors, with international actors having a minor role.

A case study design is used; the main data sources are semi-structured interviews with 43 informants involved in the 2017 Kermanshah earthquake relief operation.

The findings suggest that humanitarian practitioners deal with multiple challenges during disaster relief operations. One group of challenges relates to humanitarian logistics (HL) like needs assessment, procurement, warehousing, transportation and distribution, all widely discussed in the literature. Another involves the growing use of social media, legitimacy regulations and the engagement of new humanitarian actors (HAs) like social media activists and celebrities. These factors have not been extensively studied in the literature; given their growing influence, they require more scholarly attention.

The findings will help humanitarian practitioners and policymakers better understand the challenges involved in disaster relief operations conducted by multiple actors and thus help them improve their practices, including the creation of proper regulations, policies and logistics strategies.

The study uses primary data on a recent disaster to assess and extend the findings of previous studies regarding HL challenges. It also elaborates on the critical non-logistical challenges that influence aid delivery in emergency responses, including the growth of social media, regulations and the engagement of new HAs. The results may motivate future empirical and modelling studies to investigate the identified challenges and identify practices to mitigate them.

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

Number of disastrous events are rising globally, and it is important to manage the humanitarian supply chain management process to assist the disaster affected individuals in terms of relief operations. Effective relief operations can help to recover the materialistic loss due to any disaster. But there is a paucity of studies regarding this issue for developing countries. This study, hence, inspected the factors that affect the disaster supply chain management (DSCM) processes for relief operations in Bangladesh.

This study examined the factors affecting relief operations through a qualitative analysis. This study used thematic analysis. Interviews were conducted with related supply chain individuals who were triangulated by data from related publications and blogs.

The study showed that sustainable DSCM for relief operations in Bangladesh require addressing few factors as organizational capabilities, warehousing locations and inventory management, infrastructure facility, coordination among partners, government and local authority support to create a transparent, efficient, effective and sustainable DSCM process for relief operations in Bangladesh. The system loopholes can be identified and rectified on the base of these factors.

The number of interview respondents was limited to twenty who were selected randomly from four organizations. To create a sustainable disaster supply chain management (SCM) for relief operations few factors were considered as predominant factors in Bangladesh context to generalize the developing country contexts and other factors were not considered. Therefore, for farther humanitarian research, the model of this study can be used for quantitative research and the hypotheses can be tested empirically to get more acute findings.

As this study identifies the factors which can help to create a sustainable DSCM system for relief operations, hence practically, Bangladesh humanitarian SCM agencies will be beneficial from this study. They can easily recognize the factors need to be considered to create a sustainable DSCM process for relief operations.

This is a unique study carried out to examine the factors affecting DSCM process for relief operations in Bangladesh.

This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in the context of humanitarian logistics; stock prepositioning, facility location and evacuation planning in the humanitarian supply chain (HSC) network design.

This study applied three optimization techniques; classical approach (CA), pattern search algorithm (PSA) and Genetic Algorithm (GA) to solve the proposed mathematical model. The proposed mathematical model attempts to minimize the total relief items supply chain cost and evacuation chain cost of the HSC. A real case study of cyclone Fani, 2019 in Orissa, India is applied to validate the proposed mathematical model and to show the performance of the model.

The results demonstrate that heuristic approach; PSA performs better and optimal solutions are obtained in almost all the cases as compared to the GA and CA.

This study is limited to deterministic demands in the affected regions, and different scenarios of the disaster events are not considered.

The finding reveals that the proposed model can help the humanitarian stakeholders in making decisions on facility location, relief distribution and evacuation planning in disaster relief operations.

The results of this study may offer managerial insights to practitioners and humanitarian logisticians who are engaged in HSC implementation.

Disaster relief workers experience psychological and physical needs as a direct consequence of their disaster involvement. While this impact has been acknowledged, relatively little is known about the nature of the psychosocial demands generated by prolonged exposure. Developing both comprehensive preparatory and support programmes for relief workers will require that the nature of these demands, their impact on personnel, and their implications for disaster management are documented. Describes the experiences of a group of nurses who provided relief care in Romanian orphanages in the aftermath of the 1989 revolution in that country. Suggests that prolonged disaster exposure creates specific personal demands and operational problems. Problems were described in relation to operational practices and national issues (e.g. political and cultural factors). Describes the implications of these factors for relief worker wellbeing and relief operation effectiveness, together with suggestions for managing these demands.