Logistics service provider selection for disaster preparation: a socio-technical systems perspective

Since 1990s, the world has seen a lot of advances in providing humanitarian aid through sophisticated logistics operations. The current consensus seems to be that humanitarian relief organizations (HROs) can improve their relief operations by collaborating with logistics service providers (CLSPs) in the commercial sector. The question remains: how can HROs select the most appropriate CLSP for disaster preparation? Despite its practical significance, no explicit effort has been done to identify the criteria/factors in prioritising and selecting a CLSP for disaster relief. The present study aims to address this gap by consolidating the list of criteria from a socio-technical systems (STS) perspective. Then, to handle the interdependence among the criteria derived from the STS, we develop a hybrid multi-criteria decision making model for CLSP selection in the disaster preparedness stage. The proposed model is then evaluated by a real-life case study, providing insights into the decision-makers in both HROs and CLSPs

The gut microbiome and early-life growth in a population with high prevalence of stunting.

Stunting affects one-in-five children globally and is associated with greater infectious morbidity, mortality and neurodevelopmental deficits. Recent evidence suggests that the early-life gut microbiome affects child growth through immune, metabolic and endocrine pathways. Using whole metagenomic sequencing, we map the assembly of the gut microbiome in 335 children from rural Zimbabwe from 1-18 months of age who were enrolled in the Sanitation, Hygiene, Infant Nutrition Efficacy Trial (SHINE; NCT01824940), a randomized trial of improved water, sanitation and hygiene (WASH) and infant and young child feeding (IYCF). Here, we show that the early-life gut microbiome undergoes programmed assembly that is unresponsive to the randomized interventions intended to improve linear growth. However, maternal HIV infection is associated with over-diversification and over-maturity of the early-life gut microbiome in their uninfected children, in addition to reduced abundance of Bifidobacterium species. Using machine learning models (XGBoost), we show that taxonomic microbiome features are poorly predictive of child growth, however functional metagenomic features, particularly B-vitamin and nucleotide biosynthesis pathways, moderately predict both attained linear and ponderal growth and growth velocity. New approaches targeting the gut microbiome in early childhood may complement efforts to combat child undernutrition

Disaster relief operations: past, present and future

The aim of the preface is to introduce the scope of this special issue (SI). We explain our editorial approach and summarise our findings based on articles included in this SI. Finally, we outline future research questions which stemmed out of the discussions of this SI

A multidisciplinary perspective on supporting community disaster resilience in Nepal

Fostering community resilience in the aftermath of a disaster constitutes a significant challenge and requires an adequate understanding of the community’s specific capabilities and vulnerabilities. We carried out a field study in Nepal as a multi-disciplinary research team that explored how the humanitarian response enabled community resilience after the devastating earthquakes. We explored three elements of resilience: persistence, adaptability and transformability by zooming in and out between the local community and humanitarian organizations operating at the national level. Our combined insights from three disciplines, social sciences, information management and logistics, show that humanitarian organizations operating in Nepal still primarily aimed to (re)build community resilience ‘from above’ instead of enabling communities to strengthen their own resilience in a bottom up way. In this paper we contend that fostering an inclusive and networked response has the potential to strengthen the adaptive capacity of humanitarian organizations and community groups and boost local resilience

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of ‘network flexibility’ is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthquake case and provide evidence-based insights regarding how humanitarian organizations can improve network flexibility in HSCs. Our analyses for Nepal case show that delivery, IT support, and fleet criteria have the most influence on flexibility. Also, the application of our framework on the downstream network of nine humanitarian organizations shows low levels of network flexibility in all but one. This finding explains why several disruptions happened in relief distributions during the Nepal response.Published VersionNivå

Similarities between disaster supply chains and commercial supply chains: a SCM process view

© 2017, Springer Science+Business Media, LLC. The purpose of this paper is to demonstrate conceptual and theoretical similarities between disaster relief chains (DRCs) and commercial supply chains using the customer relationship management process model (CRM) of the seminal global supply chain forum framework (GSCF) as a lens of analysis (Croxton et al. in Int J Logist Manag 12(2):13–36, 2001). A range of empirical data from a case study of the 2006 relief and recovery response to the Cyclone Larry disaster is analysed using the CRM process model of the GSCF framework as a lens of analysis. We find that there are unexpected conceptual and theoretical similarities between DRCs in the Cyclone Larry disaster response and commercial supply chains. The study demonstrates that core commercial SCM concepts such as integration and integrative process management can also be found empirically in the domain of disaster response operations and allied management of supply chains for disaster relief and recovery (DROSCM). The study also shows that research in the DROSCM domain can develop in a range of directions unfettered by a paradigm focused on differences between DRCs and commercial supply chains. This is the first study to conceptually, theoretically, and empirically demonstrate similarities between DRCs and commercial supply chains