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dc.contributor.authorOredo, John
dc.contributor.authorDennehy, Denis
dc.contributor.authorSpanaki, Konstantina
dc.contributor.authorDespoudi, Stella
dc.contributor.authorFitzgibbon, Mike
dc.date.accessioned2021-08-04T12:16:16Z
dc.date.available2021-08-04T12:16:16Z
dc.date.issued2021
dc.identifier.citationDennehy, D., Oredo, J., Spanaki, K., Despoudi, S. and Fitzgibbon, M. (2021), "Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics", International Journal of Operations & Production Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOPM-12-2020-0871en_US
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/155084
dc.description.abstractPurpose The purpose of this paper is to understand the nomological network of associations between collective mindfulness and big data analytics in fostering resilient humanitarian relief supply chains. Design/methodology/approach The authors conceptualize a research model grounded in literature and test the hypotheses using survey data collected from informants at humanitarian aid organizations in Africa and Europe. Findings The findings demonstrate that organizational mindfulness is key to enabling resilient humanitarian relief supply chains, as opposed to just big data analytics. Originality/value This is the first study to examine organizational mindfulness and big data analytics in the context of humanitarian relief supply chains.en_US
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectSupply chain, Resilience, Big data analytics, Mindfulness, Humanitarian aid.en_US
dc.titleSupply chain resilience in mindful humanitarian aid organizations: the role of big data analytics.en_US
dc.typeArticleen_US


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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States