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This paper proposes a maturity model (MM) for assessing disaster operations and identifying strategies for organisations to evolve their maturity stages.

This study applies a systematic literature review to identify state-of-the-art work related to maturity models for disaster operations. In addition, the study develops a case study to validate the proposed maturity model in a generic scenario and two real-life scenarios.

The analysis of 158 papers in the literature resulted in identifying 8 maturity models for disaster operations. Based on their structure, the authors proposed a new model with five maturity stages suitable for any of the four phases of the disaster life cycle (i.e. mitigation, preparedness, response and recovery). In addition, the research identified and presents 24 strategies for improving disaster operations according to each maturity stage transition. Finally, the research presents a case study that evaluates the disaster response operations from a Civil Defense organisation considering a response scenario disaster in general, a flood scenario, and the COVID-19 pandemic scenario.

This study provides the following three main contributions useful for academics and practitioners in the disaster operations area: a new maturity model for assessing disaster operations, a strategy guide for improving disaster operations based on a maturity evolution and an empirical study exploring the approximation between academia and professionals involved in real-life disaster operations management.

This paper aims to identify the main performance criteria for Humanitarian Operations (HOs) from the beneficiary perspective and to propose a taxonomy to support the evaluation of stakeholders.

The research conducts a Systematic Literature Review to identify the main criteria in HOs from the beneficiary's view. Also, we conduct an empirical study based on a survey and a case study to validate the findings in a real-life setting.

Considering 25 papers, the identified performance criteria were divided into six categories: health, housing, education, socioeconomic factors, care and risk and disaster management. The empirical discussion considered forty-four responses from beneficiaries, and the main criteria complained about were related to socioeconomic factors. In addition, a case study was developed that examines the perspective of the company responsible for the construction of the building to aid in understanding the areas of dissatisfaction noted by the residents.

The research contributes organized criteria to support the performance evaluation of organizations. It offers a structured basis for further discussion among academics and professionals about other performance evaluation topics, such as dashboards and the integration of indicators from different stakeholders.

Literature is scarce in questions of performance evaluation in HOs and the analysis of the beneficiary as the main client. Therefore, the paper contributes to both areas by evaluating HOs from the beneficiary's perspective.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

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.

The purpose of this paper is to analyze the status of the current Brazilian regulations regarding the Brazilian Air Force (BAF) operations during disaster response compared with the real BAF operations in the landslides that affected the state of Rio de Janeiro, Brazil, in 2011. This analysis reveals the evolutions and challenges that warrant further discussion, even six years after the deadliest disaster in recent Brazilian history.

The research is structured using a case study method and a process approach. The data gathered from official BAF reports and professionals and BAF regulations are compared using a theoretical reference process model as a guide.

The spread of documentations and laws that prescribe the BAF operations during disaster response limit the replication of BAF standards in future disasters. Among the 96 processes described in the theoretical reference process model, 12 processes that are identified in the BAF reports and interviews that address the response to the Rio landslides of 2011 remain unaddressed in the BAF regulations. Considering the BAF expertise, three additional processes are suggested for future consideration in the reference process model that guided this research.

This paper does not discuss the collaborative perspective of BAF operations with other military forces and stakeholders in disaster response.

The findings are indications of improvement in BAF regulations.

In addition to providing an analysis of the military force operations in response to a massive disaster, this paper can also serve as a reference for a benchmark discussion of military operations in disaster response.

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.

The purpose of this paper is to present a literature review of humanitarian logistics (HL) that aims to identify trends and suggest some directions for future research.

This conceptual paper develops a research framework for literature review through qualitative and quantitative content analysis. First, previous literature reviews in HL are updated and detailed. Then, seven classification criteria are added to earlier ones in order to advance the literature analysis.

The conclusions identify some literature gaps and research opportunities. The main conclusions are the need for more studies into the disaster recovery phase and the need for closer relationships between academia and humanitarian organizations to increase the number of applied research.

The literature is limited to academic peer-reviewed journals because of their academic relevance, accessibility, and ease of searching.

Help potential researchers to set up a research agenda for future work.

Reinforce earlier calls to increase truly applied research and improve social impact of the field.

In total, 228 papers that were published in the HL area are reviewed, giving rise to the most extensive literature review in this area. New dimensions for literature review in HL are proposed, which give some new insights into potential research directions.

Humanitarian supply chain management (HSCM) in today’s environment faces the challenges such as information availability, inventory management, collaboration, logistics related issues and preparedness. The purpose of this paper is to evaluate the HSCM performance, considering the consequences in terms of operation, recovery and responsiveness based on the fuzzy estimates of the components presented.

In the study, triangulation approach was adapted for collecting data and developing a hierarchical structure for humanitarian supply chain performance assessment. The relationships between HSCM performance and its suddenness and required preparedness are depicted by cause and effect diagrams. The concepts of fuzzy association and fuzzy composition are applied to identify relationships.

In the hierarchy presented, the performance in a disaster situation, preparedness and suddenness of the situation and factors that influence the above are modeled. The taxonomy is developed for describing the relationship between factors, their likelihoods and impacts to achieve consistent quantification.

The study considers case studies from Indian conditions; however, conditions in other countries and their practices for the disaster management may vary to certain extent.

A methodology presented for evaluating the exposures in considering the consequences in terms of responsiveness, operations, recovery, mitigation and emergency response. The study may help the humanitarian relief practitioners to understand the insights of the disaster situations using the proposed framework.

A common language for describing the different factors of HSCM is presented, which includes terms for quantifying likelihoods and impacts. The concept of fuzzy association and fuzzy composition has been applied to identify relationships between sources and consequences on HSCM performance. The use of descriptive linguistic variables is ensured through the implementation of fuzzy logic.