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The purpose of this article’s research was threefold. Firstly, it aimed to investigate how social services professionals coped during the pandemic period by comparing their involvement in five different national contexts. Secondly, it analysed how these professionals have performed their duties according to the street-level bureaucracy theory. Finally, the third question examines social workers' strategies to guide their professional role when they may have had more discretion in their actions. The research also examined whether discretion has increased during this phase and, if so, how it has been exercised.

This article is based on the findings of the project called “Theory and Practice of Social Work in the World in Times of Pandemic”, which was funded by the International Association of Schools of Social Work (IASSW). The project involved 11 universities across five countries in Europe and Latin America, including Argentina, Brazil, Italy, Spain and Sweden. The research was conducted over 24 months to analyse the practices and measures taken to protect vulnerable people by adapting social services during the extraordinary period of the pandemic. In addition, the research explored how the awareness of emergency arose among social workers and how it influenced the services delivered from the perspective of the street-level bureaucracy theory. In different countries, the level of resourcefulness of services has varied based on their recognition of the severity of the pandemic and the impact of the government’s narratives. In some cases, these narratives have been conspiratorial or even anti-scientific. Additionally, there has been a reduction in the distance between professionals and clients, increased inequalities in access to services and a positive reassessment of the potential of new professional tools, such as digital social work, in establishing a trusting relationship.

As revealed in the interviews, the elements shaping this high degree of discretion among social workers can be classified into three levels: macro- and micro- (Saruis, 2015) plus a meso-level. Each level has four significant aspects. At the macro-level, these are legislation, public information, large associationism and integration of the social services-health system. At the meso-level, these are interpretations of role performance by managers technical equipment, self-organization and community action. The micro-level pertains to personal and family situations, emotions, ethics and social workers' direct relationships with those in charge.

This study investigated how social workers responded to the Covid-19 pandemic. The data gathered sheds light on their understanding of the situation, as well as the differences in experiences across the five countries studied. However, it is essential to note that the findings may not apply to all situations or countries. Nevertheless, this research serves as a stepping stone for future studies to delve deeper into the results and explore them in greater detail .

The study highlights the crucial role of social workers as street-level workers in managing, negotiating and creating meaning in the interaction between professionals and the people they serve. This is especially relevant in Latin America. Additionally, the study emphasizes the significance of social workers as policy actors and the political nature of social work practice. The findings also underscore the importance of effective communication and collaboration between social workers, their teams and the organizations they work for. The sources cited in the study are Barberis and Boccagni (2014) and Cuadra and Staaf (2014). The research has also underscored the potential of social service workers to build networks and cooperate. Such networking can play a vital role in implementing their acquired knowledge. The study has, therefore, emphasized the importance of social workers being an integral part of the societies they serve. They need to continuously enhance their communication skills, using all the necessary tools to gain a comprehensive and updated understanding of the evolving needs of their clients. Integrating digital social work as a mode of service provision has emerged as a crucial aspect, especially in the three European countries observed. This approach has demonstrated its potential and is expected to continue being a part of services to some extent, even after the return to normalcy. However, it is essential to ensure that the accessibility and proximity of services are not compromised in any way.

An unexpected result was observed during the research: the pandemic circumstances have led to valuable reflections. These reflections can help in rethinking and recreating social services. Social workers have been given a unique opportunity to return to the essence of their profession and develop less bureaucratic and more humane ways of working. This experience has also enabled them to recover a closer relationship with the people they serve. To sum up, this study emphasizes that social workers, when given more leeway in their work, rely on cultivating and upholding relationships with other professionals, organizations and stakeholders to stay connected with the community they serve. This is crucial for ensuring the delivery of effective and sustainable social services.

The research employed a thematic analysis approach (Bazeley, 2007) to identify themes related to the concept of consciousness as derived from the field experiences of social workers. Additionally, an in-case and cross-case analysis method (Fereday and Muir-Cochrane, 2006) was used to connect themes related to individual experiences with those gathered from the overall experiences.

This study aims to answer the question: What dynamic capabilities do diverse humanitarian organizations have?

We examine this question through the lens of dynamic capabilities with sensing, seizing and reconfiguring capacities. The research team interviewed 15 individuals from 12 humanitarian organizations that had (a) different geographic scopes (global versus local) and (b) different missions (emergency response versus long-term development aid). We also gathered data from secondary sources, including standard operating procedures, company websites, and news databases (Factiva, Reuters and Bloomberg).

The findings identify the operational and dynamic capabilities of global and local humanitarian organizations while distinguishing between their mission to provide long-term development aid or emergency relief. (1) The global organizations, with their beneficiary responsiveness, reconfigured their sensing and seizing capacities throughout the COVID-19 pandemic by pivoting quickly to local procurement or regional supply chains. The long-term development organizations pivoted to multi-year supplier agreements with fixed pricing to counter price uncertainty and accessed social capital with government bodies. In contrast, emergency response organizations developed end-to-end supply chain visibility to sense changes in supply and demand. (2) Local humanitarian organizations developed the capacity to sense demand and supply changes to reconfigure based on their experiential learning working with the local community. The long-term-development local organizations used un-owned and scalable relief infrastructure to seize opportunities to rebuild affected areas. In contrast, emergency response organizations developed their capacity to seize opportunities to provide aid stemming from their decentralized decision-making, a lack of structured procedures, and the authority for increased expenditure.

We propose a theoretical framework to identify humanitarian organizations' operational and dynamic capabilities, distinguishing between global and local organizations and their emergency response and long-term aid missions.

This study aims to identify the main challenges to achieving humanitarian logistics in the context of United Nations peace missions in sub-Saharan Africa and to present suggestions for overcoming the logistical gaps encountered.

The methodological approach of the work focuses on the comparative case study of the United Nations Mission in South Sudan, the United Nations Multidimensional Integrated Stabilisation Mission in the Central African Republic and The United Nations Organisation Stabilisation Mission in the Democratic Republic of Congo from 2014 to 2021. The approach combined a systematic literature review with the authors’ empirical experience as participant observers in each mission, combining theory and practice.

As a result, six common challenges were identified for carrying out humanitarian logistics in the three peace missions. Each challenge revealed a logistical gap for which an appropriate solution was suggested based on the best practices found in the case study of each mission.

This paper presents limitations when addressing the logistical analysis based on only three countries under the UN mission as a case study, as well as conceiving that certain flaws in the system, in the observed period, are already in the process of correction with the adoption of the 2016–2021 strategy by the UN Global Logistic Cluster. The authors suggest that further studies can be carried out by expanding the number of cases or using countries where other bodies (AU, NATO or EU) work.

To the best of the authors’ knowledge, this study is the first comparative case study of humanitarian logistics on the three principal missions of the UN conducted by academics and practitioners.

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 purpose of this paper is to explore how vulnerable refugee children's education can be supported in the first asylum country during a long-term, complex crisis. More specifically, the authors examine the impact of a remedial education (RE) program on academically challenged Syrian refugees' sustained learning and well-being in Jordan during a protracted emergency.

Using the 2012 United Nations human security framework, the authors analyze the quantitative results of program evaluation, supplemented by qualitative surveys and stakeholder interviews that asked about the aspirations of refugee children and their guardians, their school experience and the refugee–host community relationship.

The authors' data suggest that the program enhanced targeted Syrians' protection and empowerment. Their increased sense of safety and improved academic performance and learning motivation were likely owing to child-friendly classroom management and pedagogies that facilitated interactive and differentiated learning. Their human security was further strengthened when they learned with Jordanian children who experienced similar academic challenges and with teachers sympathetic to their plight. Meanwhile, a human security framework calls for humanitarian agencies' strategic engagement with local partners to ensure refugees' learning continuity.

Refugee education studies in first asylum countries are rare. Even rarer are studies focusing on academically low-achieving refugees with full consideration of the protracted and complex nature of a crisis. This study suggests effective measures to increase their human security while calling for humanitarian aid organizations to use long-term thinking.

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human intelligence (HI) for international humanitarian logistics, this paper aims to adopt an unorthodox Yin–Yang dialectic approach to address how AI–HI interactions can be interpreted as a sophisticated cross-cultural knowledge creation (KC) system that enables more effective decision-making for providing humanitarian relief across borders.

This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.

Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI–HI collaboration: paradoxes of building a cross-cultural KC system, paradoxes of integrative AI and HI in moral judgement and paradoxes of processing moral-related information with emotions in AI–HI collaboration. Then applying the Yin–Yang dialectic to interpret Klir’s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI–HI decision-making for humanitarian logistics across cultures.

This paper aids not only in deeply understanding complex issues stemming from human emotions and cultural cognitions in the context of cross-border humanitarian logistics, but also equips culturally-diverse stakeholders to effectively navigate these challenges and their potential ramifications. It enhances the decision-making process and optimizes the synergy between AI and HI for cross-cultural humanitarian logistics.

The originality lies in the use of a cognitive methodology of the Yin–Yang dialectic to metaphorize the dynamic genesis of integrative AI-HI KC for international humanitarian logistics. Based on system science and knowledge management, this paper applies game theory, multi-objective optimization and Markov decision process to operationalize the conceptual framework in the context of cross-cultural humanitarian logistics.