Big data and predictive analytics in humanitarian supply chains

Purpose The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains. Design/methodology/approach The authors conceptualize a research model grounded in contingent...

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Veröffentlicht in:	The international journal of logistics management 2018-05, Vol.29 (2), p.485-512
Hauptverfasser:	Dubey, Rameshwar, Luo, Zongwei, Gunasekaran, Angappa, Akter, Shahriar, Hazen, Benjamin T, Douglas, Matthew A
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Collaboration Competitive advantage Data analysis Disaster relief Disasters Humanitarian aid Humanitarianism Logistics Measurement techniques NGOs Nongovernmental organizations Predictive analytics Studies Supply chain management Supply chains
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