2018
DOI: 10.1080/00207543.2018.1551958
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Bridging humanitarian operations management and organisational theory

Abstract: The aim of the editorial note is to introduce the scope of this special issue (SI). We explain our editorial approach and provide a brief summary of eight articles included in the SI following multiple rounds of reviews. Finally, we outline future research questions which stemmed out of the discussions of this SI.

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Cited by 67 publications
(61 citation statements)
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“…When the electronic tag passes through the area, it is excited to transmit the information stored in the electronic tag by inducing the energy formed by the current. Subsequently transferred to readers, information is practicable to be stored in the database [ 6 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…When the electronic tag passes through the area, it is excited to transmit the information stored in the electronic tag by inducing the energy formed by the current. Subsequently transferred to readers, information is practicable to be stored in the database [ 6 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Existing studies on humanitarian supply chain agility mainly focuses on ascertaining the organizational impact of humanitarian supply chain agility in terms of humanitarian operations performance. Few studies utilize a theory-driven approach to understand the role of key factors in building humanitarian supply chain agility (Gunasekaran et al 2018 ). We identify this as a clear research gap in humanitarian supply chain literature.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, in the era of large data, the location intelligence (i.e., big data analytics capability powered by artificial intelligence) may reveal better opportunities. Despite the increasing applications of OR/MS techniques, it is often observed that most of the times the disaster relief team fail to understand the survivors' needs and even when the disaster relief team reaches the affected areas in time, the relief to the survivor is still far from reality (Altay, 2008;Chakravarty, 2014;Gunasekaran et al 2018). Hence, in such cases statistics and probabilistic approach may further help address uncertainties associated with such large events in disaster locations and demands; and in general various OR/MS techniques can be applied to the different stages of disaster relief operations involving multiple diverse actors.…”
Section: Introductionmentioning
confidence: 99%