Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/4690
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dc.contributor.authorDutta, Pankaj-
dc.contributor.authorBehl, Abhishek-
dc.contributor.authorNayak, Sushma-
dc.date.accessioned2021-04-22T00:16:52Z-
dc.date.available2021-04-22T00:16:52Z-
dc.date.issued2021-04-15-
dc.identifier.citationDutta, P., Behl, A. and Nayak, S. (2021) Guest editorial preface : Special issue on data analytics in humanitarian supply chain and disaster relief operations under risk and uncertainty. International Journal of Business Analytics, 8(2), 5-8.en_US
dc.identifier.urihttps://www.igi-global.com/pdf.aspx?tid%3D276442%26ptid%3D254374%26ctid%3D15%26t%3DSpecial%20Issue%20on%20Data%20Analytics%20in%20Humanitarian%20Supply%20Chain%20and%20Disaster%20Relief%20Operations%20Under%20Risk%20and%20Uncertainty&isxn=null-
dc.identifier.urihttp://hdl.handle.net/10739/4690-
dc.description.abstractRecent years have witnessed a macabre series of natural disasters causing enormous losses to life and property. As a result, humanitarian assistance and disaster relief operations have assumed significance from the standpoint of meeting the immediate needs of communities those are responding to disasters. As rightly pointed by Nathaniel Philbrick, “In all-natural disasters through time, man needs to attach meaning to tragedy, no matter how random and inexplicable the event is.”en_US
dc.formattexten_US
dc.language.isoenen_US
dc.publisherInternational Journal of Business Analytics, IGI Global Publishing, USAen_US
dc.subjectNatural disastersen_US
dc.subjectHumanitarian assistanceen_US
dc.subjectDisaster managementen_US
dc.subjectData analyticsen_US
dc.titleGuest editorial preface : Special issue on data analytics in humanitarian supply chain and disaster relief operations under risk and uncertaintyen_US
dc.typeOtheren_US
dc.typeScopusen_US
dc.typeOtheren_US
dc.typeScopusen_US
dc.institutionJindal Global Business School (Co-author)en_US
dc.rightlicenseden_US
Appears in Collections:JGU Research Publications



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