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This study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.

An in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.

Seventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.

Even though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.

Institutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.

Unlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.

The main objective of this study is to consider how to benefit efficiently from the significant potential of humanitarian operations by individuals. For this purpose, this study aims to assess failure factors in humanitarian supply chain operations after the Kermanshah earthquake considering the role of all parties, focusing on individuals who did not wish to work with formal organisations on the whole. In the aftermath of the Kermanshah earthquake, which occurred on 12 November 2017, improvised groups of Iranian civilians from all over the country played an important role in humanitarian supply chain operations as individuals. Although most of these groups sincerely intended to help the affected society, victims could not benefit properly from these significant potential humanitarian actions. On the contrary, these potential actions caused some issues during humanitarian operations, such as blocking roads, inappropriate last-mile distribution, wasting resources and so on.

This research study considers mixed methods, including an on-site survey, semi-structured interviewing and a questionnaire designed for statistical analyses. The analysis included 140 responses to the questionnaire, semi-structured interviews with 32 affected families, interviews with 5 emergency managers from the Housing Foundation of the Islamic Republic of Iran and on-site survey reports.

This study presents a framework for humanitarian supply chain management to deal with future disasters in the same area or areas with similar characteristics to the case study. In general, the results of this study demonstrate that the nature of humanitarian supply chain operations makes it impossible to consider that these operations are free of challenges. However, several influential factors, such as training humanitarian actors and integrated management, might considerably increase the efficiency of humanitarian operations by individuals.

This study highlights the influential factors of inappropriate humanitarian operations by individuals, derived from an analysis of the Kermanshah case and literature review. The authors suggest a framework to benefit from the significant potential of individuals with wide-ranging experiences and proficiency, for future cases similar to the case study.

The purpose of this paper is to extend the concept of agility in humanitarian logistics beyond emergency operations. Since the humanitarian logistics literature focuses primarily on emergencies and sees longer term and regular operations as being conducted in relatively stable and predictable environments, agile practices are usually not associated with humanitarian protracted operations. Therefore, this paper explores the logistics and supply chain environment in such operations in order to identify their basic features and determine if agility is an important requirement.

Using a case study of the United Nations World Food Programme, the authors collected and analysed qualitative and quantitative data on the characteristics of protracted operations, the risks and uncertainties most frequently encountered, their impact, and the ways that field logisticians manage contingencies.

The research demonstrates that unpredictability and disruptions exist in protracted operations. Therefore, short-term operational adjustments and agile practices are needed in order to support the continuity of humanitarian deliveries.

Future research should focus on a wider range of humanitarian organisations and move from a descriptive to a prescriptive approach in order to inform practice. Notwithstanding these limitations, the study highlights the need for academics to broaden the scope of their research beyond emergencies and to address the specific needs of humanitarian organisations involved in longer term operations.

This paper is the first empirical research focusing exclusively on the logistics features of humanitarian protracted operations. It provides a more concrete and complete understanding of these operations.

This paper supports the call for using a separate research stream for long-term recovery vs disaster relief in humanitarian studies. The purpose of this paper is to highlight the thematic shift towards service operations during this developmental phase and explores the role of social entrepreneurial organizations. It builds from the literature on service operations management and social entrepreneurship to promote theory in humanitarian operations management.

This exploratory study uses literature concepts and field data from multiple development case studies of social entrepreneurial organizations and social enterprises in Africa and the Middle East to analyze service operations.

Clear contributions to the role of social entrepreneurship in providing humanitarian and development services were identified and categorized according to service operations management stages.

This paper has important practical implications. The positioning of social entrepreneurial organizations as humanitarian service providers would open opportunities for new collaborations between donors and social organizations. Mainstream NGOs dominate the scene of servicing local communities; leaving aside social entrepreneurial organizations with substantial room for innovation that they might bring to the sector. In addition, social entrepreneurial organizations’ ability to build business models and design sustainability and scalability aspects for their operations may bring long-term development to impoverished communities. Global NGOs as well as government actors who carry out the first three stages of humanitarian operations could plan on working with (or even help creating) social entrepreneurial organizations to help with long-term recovery.

This study examines the implications of two bodies of literature; service operations management and social entrepreneurship on humanitarian operations management research. It concludes with a conceptual framework emphasizing the contributions of social entrepreneurship in planning, development, delivery, and distribution of services in the long-term recovery humanitarian and development operations.

The purpose of this paper is to develop a Humanitarian Purchasing Matrix to guide purchasing strategies for relief items in humanitarian operations.

The research synthesizes the structures of a Purchasing Portfolio Model and the characteristics of purchasing in humanitarian operations, validating them with academics and practitioners to develop a Humanitarian Purchasing Matrix. Then, based on the Analytic Hierarchy Process to classify the relief items in the matrix, an illustrative example is used as an empirical test for the proposed Humanitarian Purchasing Matrix.

The academic literature on purchasing in general and purchasing in humanitarian operations share some similarities in terms of “Importance of Purchasing” and “Complexity of Supply Market” dimensions. Moreover, the analysis of such criteria supports the definition of purchasing strategies for different relief items in humanitarian operations.

The Humanitarian Purchasing Matrix can be considered a tool/guide for professionals of humanitarian organizations in the adoption of purchasing strategies for the different relief items purchased for humanitarian operations.

Considering a scenario of a constant increase in the variety of relief items, the high purchasing volume and the pressure to more efficient relief operations, the research discusses the intersectionality of business purchasing models and the purchasing characteristics of humanitarian operations. Moreover, the research deliveries a tool/guide to the adoption of purchasing strategies that are composed of criteria observed in the literature and suggested by both humanitarian logistic academics and practitioners.

In the aftermath of disasters, humanitarian actors need to coordinate their activities based on accurate information about the disaster site, its surrounding environment, the victims and survivors and the supply of and demand for relief supplies. In this study, the authors examine the characteristics of radio frequency identification (RFID) technology and those of disaster relief operations to achieve information visibility and actor coordination for effective and efficient humanitarian relief operations.

Building on the contingent resource-based view (CRBV), the authors present a model of task-technology fit (TTF) that explains how the use of RFID can improve visibility and coordination. Survey data were collected from humanitarian practitioners in India, and partial least squares (PLS) analysis was used to analyze the model.

The characteristics of both RFID technology and disaster relief operations significantly influence TTF, and TTF predicts RFID usage in disaster relief operations, providing visibility and coordination. TTF is also a mediator between the characteristics of RFID technology and disaster relief operations and between visibility and coordination.

The many recent humanitarian disasters have demonstrated the critical importance of effective and efficient humanitarian supply chain and logistics strategies and operations in assisting disaster-affected populations. The active and appropriate use of technology, including RFID, can help make disaster response more effective and efficient.

Humanitarian actors value RFID technology because of its ability to improve the visibility and coordination of relief operations. This study brings a new perspective to the benefits of RFID technology and sheds light on its antecedents. The study thus expands the understanding of technology in humanitarian operations.

The purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.

This paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.

A framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.

The paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.

None of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.

As natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.

The purpose of this paper is to illustrate the appropriateness of system dynamics (SD) methodology as a tool for humanitarian decision makers to understand the effect of their decisions on humanitarian operations. The authors seek to present the initial stages and preliminary findings of a SD model used to analyze a well‐defined subsystem of humanitarian operations, field vehicle fleet management; then build on this example by identifying an additional area of humanitarian operations for future research using the SD methodology.

Case‐based research was combined with SD methodology to examine the appropriateness of this methodology for use in humanitarian operations.

Humanitarian operations are characterized by multiple actors, feedback loops, time pressures, resource constraints and uncertainty. The authors find that SD has the capacity to accurately represent the dynamic complexity of humanitarian operations, and is therefore an appropriate tool to study these systems.

The well‐defined issue of field vehicle fleet management in humanitarian organizations is used to illustrate an application of SD for humanitarian operations. Due to the difficulty in obtaining necessary data to build the SD model, this study uses estimations based on over three years of research into fleet management in the humanitarian sector. The authors then present an example of a broader but less well‐defined subsystem in the humanitarian sector that can be analyzed using SD methodology to the benefit of the overall humanitarian relief operation.

Decision making in humanitarian operations is usually based on intuition and experience which are not always sufficient to fully understand the global impact of these decisions. SD provides humanitarian decision makers with a method to simulate and compare the impact of alternative decisions that would not be possible in real life situations.

This paper examines the appropriateness of SD methodology to help humanitarians improve the effectiveness of their relief and development programs through better‐informed decision making.

This paper presents one of the first attempts to use SD methodology to build a model for humanitarian operations using a well‐defined subsystem, field vehicle fleet management.

Conflict and violence are the main drivers of globally escalating humanitarian needs. Local grassroots initiatives are pivotal in distributing humanitarian supplies in the acute response phase until more established humanitarian aid organizations can enter. Nevertheless, scant research exists regarding the role of grassroots associations in providing humanitarian assistance during a military conflict. The purpose of this paper is to understand the role of grassroots associations and identify important themes for effective operations.

This paper adopts a case-study approach of three Ukrainian grassroots associations that began operating in the immediate days of the full-scale invasion of Ukraine. The findings are based on analyzing primary sources, including interviews with Ukrainian volunteers, and are supported by secondary sources.

Grassroots associations have local contacts and a contextual understanding of population needs and can respond more rapidly and effectively than large intergovernmental agencies. Four critical themes regarding the operations of grassroots associations emerged: information management, inventory management, coordination and performance measurement. Grassroots humanitarian response operations during conflict are challenged by personal security risks, the unpredictability of unsolicited supplies, emerging volunteer roles, dynamic transportation routes and shifting demands.

Grassroots responses are central to humanitarian responses during the acute phase of a military conflict. By examining the operations of grassroots associations in the early months of the 2022 war in Ukraine, the authors provide a unique perspective on humanitarian logistics. Nonetheless, more inclusive models of humanitarian responses are needed to harness the capacities and resilience of grassroots operations in practice.

The main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.

This study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.

This SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.

The result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.