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The purpose of this study is to show that the current complexity of humanitarian operations has only increased the usefulness of system dynamics (SD) in helping decision-makers better understand the challenges they face.

A critical analysis to evaluate how SD methodology has been applied to humanitarian operations.

Today's humanitarian operations are characterized by huge complexity given the increased number of stakeholders, feedback loops, uncertainty, scarce resources and multiple objectives. The authors argue that SD's tools (causal-loop diagram, data layer, simulation model) have the capacity to appropriately capture this complexity, thereby enhancing intuition and understanding.

Researchers and practitioners hesitate to use system dynamics when data is missing. The authors suggest alternatives to deal with this common situation.

The purpose of this paper is to highlight the importance of the humanitarian supply chain (HSC) as the backbone of the humanitarian operations. It further proposes feasible ways to overcome some of the main supply chain challenges identified by practitioners to achieve cost efficient and effective operations.

The challenges that the HSC faces and proposed changes to overcome them are gathered from interviews with nearly 40 practitioners.

Five critical issues that affect the future of HSCs are identified along with recommendations to address them.

It supports the fulfillment of the agenda for humanity’s five core responsibilities: global leadership to prevent and end conflict, uphold the norms that safeguard humanity, leave no one behind, change people’s lives – from delivering aid to ending need, and invest in humanity.

The original report was presented at the first World Humanitarian Summit in Istanbul in May 2016. The reader can find it via the following link www.logcluster.org/sites/default/files/whs_humanitarian_supply_chain_paper_final_24_may.pdf

This paper is based on a panel discussion at EurOMA 2015. The purpose of this paper is to identify a number of barriers to relevant research in humanitarian logistics. The authors propose a charter of ten rules for conducting relevant humanitarian research.

The authors use operations management literature to identify best practices for doing research with practice. The authors compile, condense and interpret opinions expressed by three academics and one practitioner at the panel discussion, and illustrate them through quotes.

The increasing volume of papers published in the humanitarian logistics literature has not led to a proportional impact on practice. The authors identify a number of reasons for this, such as poor problem definition, difficult access to data or lack of contextualization. The authors propose a charter of ten rules that have the potential to make humanitarian logistics research more relevant for practice.

By developing best practices for doing relevant research in humanitarian logistics, this paper enables the academic community and practice to better work together on relevant and impactful research projects. Academic knowledge combined with practice-inspired problems has the potential to generate significant improvements to humanitarian practice.

This paper is the first to address the problem of relevance of humanitarian logistics research. It is also one of the few papers involving a practitioner to discuss practical relevance of research. Through this unique approach, it is hoped that this paper provides a set of particularly helpful recommendations for researchers studying humanitarian logistics.

This paper aims to provide a discussion on the interface and interactions between data, analytical techniques and impactful research in humanitarian health supply chains. New techniques for data capturing, processing and analytics, such as big data, blockchain technology and artificial intelligence, are increasingly put forward as potential “game changers” in the humanitarian field. Yet while they have potential to improve data analytics in the future, larger data sets and quantification per se are no “silver bullet” for complex and wicked problems in humanitarian health settings. Humanitarian health supply chains provide health care and medical aid to the most vulnerable in development and disaster relief settings alike. Unlike commercial supply chains, they often lack resources and long-term collaborations to enable learning from the past and to improve further.

Based on a combination of the authors’ research experience, interactions with practitioners throughout projects and academic literature, the authors consider the interface between data and analytical techniques and highlight some of the challenges inherent to humanitarian health settings. The authors apply a systems approach to represent the multiple factors and interactions between data, analytical techniques and collaboration in impactful research.

Based on this representation, the authors discuss relevant debates and suggest directions for future research to increase the impact of data analytics and collaborations in fostering sustainable solutions.

This study distinguishes itself and contributes by bringing the interface and interactions between data, analytical techniques and impactful research together in a systems approach, emphasizing the interconnectedness.

The purpose of this paper is to review the current application of organization theory (OT) in the humanitarian supply chain (HSC) and identify the future OT-based research opportunities that can advance knowledge of humanitarian operations.

The study uses a systematic literature review methodology to identify the current status and future direction of the OT-based study in HSC literature. The applied theories are those that have been mentioned in at least two research articles in the HSC literature. The proposed theories are either adopted from the top four referred organizational theories in the supply chain literature or those that can explain the issue of information asymmetry in HSC.

The study identifies and describes eight organizational theories and their possible future research questions in HSC. Among these, the first four theories (i.e. resource-based theory, resource dependence theory, social exchange theory and contingency theory) have already been initially applied in the humanitarian field, while the remaining theories (i.e. institutional theory, stakeholder theory, transactional cost theory and information theory) have potential for future application.

The reviewed literature is limited to peer-reviewed journals listed in Thomson Reuters’ journal citation reports.

This study may help future researchers better understand and solve, using organizational theory, the behavioral challenges faced by humanitarian operations.

The study presents current applications of and future prospects for OT-based research in HSC, effectively providing the first review of OT applications in this area. The novel framework and new theories proposed herein may enable fresh directions for HSC research.

The research objective is to study the relevance of supply chain management in the humanitarian context, analyze supply chain expenditures and identify major cost-saving potentials and future research directions.

Our research design integrates exploratory and inductive research approaches that are based on existing literature, discussions with supply chain leaders and extensive financial data collected through field studies.

Supply chain management is increasingly considered as a critical success factor for humanitarian operations and amounts on average to around 75% of the total response cost. Based on our findings, humanitarian supply chains bear tremendous potential for further improvements to provide more assistance with limited resources available.

In particular, humanitarian supply chains in conflict situations and procurement processes offer potential for impactful and relevant research. Whilst our study focuses on international organizations, future research should give more attention to supply chain cost structures of local actors to reveal further untapped potential.

Our findings equipped supply chain leaders with fact-based evidence of the value of supply chain management and supported them in strategic meetings with their executive management and donors. Furthermore, we identified major cost-saving potentials.

For researchers (and practitioners), our findings serve as motivation to intensify their efforts in studying and enhancing supply chain management in the humanitarian context.

This paper fulfils an identified need to study and provide empirical evidence of the value of supply chain management in the humanitarian context.

Following a large-scale disaster, medical assistance is a critical component of the emergency response. The paper aims to discuss this issue.

Academic and practitioner literature is used to develop a framework studying the effectiveness of the humanitarian medical supply chain (HMSC). The framework is validated by using the findings of interviews conducted with experts and the case study of a serious humanitarian medical crisis (Ebola outbreak in 2014).

The factors affecting the effectiveness of the HMSC are identified.

To get an expert opinion on the major logistical challenges of the medical assistance in emergencies only 11 interviews with practitioners were conducted.

While the existing academic literature discusses the distribution of various supplies needed by the affected population, limited research focuses specifically on studying the HMSC aspect of the response. This paper closes this gap by describing the HMSC in the case of disaster response, and identifying the factors affecting its effectiveness, especially focusing on the factors that are unique to the medical aspect of the humanitarian supply chain.

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.