Big data in humanitarian supply chain management: a review and further research directions

Shivam Gupta (), Nezih Altay () and Zongwei Luo ()
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Shivam Gupta: Montpellier Business School
Nezih Altay: DePaul University
Zongwei Luo: Southern University of Science and Technology of China

Annals of Operations Research, 2019, vol. 283, issue 1, No 45, 1153-1173

Abstract: Abstract Humanitarian organizations work diligently to save lives using scarce resources, competing for donor money, and operating in complex environments. It is no surprise that they need information to effectively execute their task. As there have been tremendous developments in data analytics it is imperative that the domain of humanitarian supply chain management leverage the benefits offered by the advancement of big data. In this study, we have conducted a systematic literature review in the field of big data and humanitarian supply chain. The data was collected using Scopus which is the largest digital database. After careful screening, only 28 journal papers were selected for literature review. These papers have been classified and grouped into various categorizations. Future research directions in this field have been suggested that are based on various organizational theories.

Keywords: Big data; Humanitarian supply chain; Literature review (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (21)

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DOI: 10.1007/s10479-017-2671-4

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