Suchergebnisse

Disaster response operations aim at helping as many victims as possible in the shortest time, with limited consideration of the socio-economic context. During the disaster rehabilitation phase, the perspective needs to broaden and comprehensively take into account the local environment. We propose a framework of sustainable humanitarian supply chain management (SCM) that facilitates such comprehensive performance. We conceptualize the framework by combining literature from the fields of sustainable and humanitarian SCM. We test the framework through an analytic induction process by means of multiple case studies of four relief organisations. Our framework suggests that supply chain design needs to be aligned not only to relief organisations' enablers, but also to the population's long-term requirements as well as any socio-economic and governmental contingency factors. A good fit between these dimensions leads to sustainable performance. The framework provides an instrument for relief organisations to achieve sustainable performance in the disaster rehabilitation phase.

PurposeAlthough the UN Sustainable Development Goals (SDGs) emphasize the importance of leaving no one behind, the opposite is happening for the world's 89 million forcibly displaced people who are mostly left out of SDGs' reporting and progress. A key reason for this poor outcome is that host country governments plan refugee camps as short-term shelters, but refugees stay in these camps for more than a decade on average due to ongoing conflicts in their home country. This disparity between intent and reality prevents sustainable living conditions for refugee populations. Operational innovations are needed to find sustainable solutions that ensure a higher quality of life and progress toward sustainability in refugee camps.Design/methodology/approachThrough an abductive case study, the authors develop a theoretical framework on sustainable operational innovations for refugee camps. The authors use this framework to analyze four sustainable operational innovations implemented in three refugee camps in Jordan.FindingsThe authors develop three research propositions that describe the conditions required for these operational innovations to succeed: they need to include specific needs and cultural preferences of refugees, they must accommodate host governments' restrictions that limit permanent settlement, and finally, technological innovations require careful data management policies to protect refugees. Doing this, the authors account for the broader political-economic and ecological environments that refugee camps are embedded in.Originality/valueThis paper opens a new area of research on sustainable innovation in humanitarian operations. It provides insights into key contingency factors moderating the link between operational innovations and sustainability outcomes. It represents one of the few studies that build their theorizing upon field data collected in refugee camps.

Purpose
The purpose of this paper is to explore how operations decision-making may keep the growing firms within the boundaries of corporate and societal sustainability.


Design/methodology/approach
The authors classify operations decisions during growth periods according to the three dimensions of the triple bottom line (economic, social and environmental). By means of a longitudinal case study of a family-owned wood construction firm that is in a process of intense growth, the authors identify, visually represent and analyse the complex sequences of selected managerial operations decisions.


Findings
The empirical data suggest that operations decisions made by managers during growth periods follow specific patterns. From the analysis, the authors derive various research propositions that investigate how a well-understood and therefore efficient and effective decision-making process can facilitate sustainable business growth.


Research limitations/implications
The findings offer opportunities for future studies to zoom in on specific parts of the decision-making process during growth periods. Moreover, given the exploratory nature of this study, future research should test hypotheses derived from the research propositions.


Practical implications
This study investigates operations decision-making during growth, which is crucial for guiding companies through this complex transition phase.


Originality/value
This conceptual and empirical analysis explores new theory and contributes to the vastly under-researched subject of sustainable business growth.

Purpose
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.


Design/methodology/approach
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.


Findings
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.


Practical implications
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.


Originality/value
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.

Recent estimates suggest that more than 40 million people worldwide are in situations of modern slavery and other forms of labor exploitation. UN Sustainable Development Goal 8.7 addresses this problem and urges stakeholders to take effective measures to end all forms of labor exploitation by 2030. Labor exploitation is often a direct consequence of forced migration, and humanitarian operations have a key role to play in tackling this issue worldwide. Academic research can facilitate this by providing the necessary decision-making tools to support antislavery practitioners in humanitarian organizations and governments. For effective resource allocation, these practitioners need tools to help them systematically identify and assess the risks of labor exploitation in an area. In this paper, we develop a multi-method approach that combines various data sources to capture the issue's complex and multidimensional nature. Through satellite remote sensing, we first identify 50 informal settlements hosting migrant workers in the strawberry production area of Southern Greece. We then apply a multi-criteria decision analysis (MCDA) method to a subset of six informal settlements in order to evaluate their labor exploitation risks based on eight criteria. In addition to being practically implemented by a humanitarian organization and a government agency in Greece, our paper advances research on humanitarian operations and labor exploitation by elucidating how a multi-method approach can be used for data-driven prioritization of interventions against labor exploitation. Our approach offers opportunities for other applications in the field of humanitarian operations.