Publication | Open Access
Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics
100
Citations
136
References
2021
Year
Nomological NetworkEngineeringBig Data AnalyticsOrganizational BehaviorSupply Chain ResilienceCollective MindfulnessData ScienceOrganizational MindfulnessManagementSupply ChainBig DataOrganizational ResearchSupply Chain ManagementHumanitarian Relief Supply ChainHumanitarian AidOrganizational CommunicationOrganization DevelopmentResilience AnalysisSociologyResilience EngineeringBusinessSocial ResponsivenessCrisis ManagementDisaster Risk ReductionSocial ResponsibilityHumanitarian Development Aid Logistics
Purpose 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.
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