Big data applications in supply chain management

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dc.contributor.authorAktas, Emel
dc.date.accessioned2022-08-03T13:05:46Z
dc.date.available2022-08-03T13:05:46Z
dc.date.issued2022-07-27
dc.description.abstractThis chapter overviews emerging applications of big data analytics in supply chain management. The academic attention on big data applications and their practitioner uptake is growing. Many recent papers showcase descriptive, predictive, and prescriptive analytics applications where multiple benefits emerge from applying big data analytics to managerial problems. Such benefits include cost reduction, increases in revenues and profits, and minimization of the environmental impact of operations. Current concerns include the transition from traditional to digital supply chains and what can realistically be achieved over the next two decades. While we evidence excellent applications of big data analytics for supply chain planning and management problems, the issue of working in silos persists. For an organization to fully exploit big data applications, data should be perceived as an asset. When deploying novel artificial intelligence algorithms, the explainability of these algorithms should be at the forefront of an implementation strategy. Future research directions should be aimed at devising a connected and coordinated analytics approach that will enable the benefits of big data applications to go beyond what is currently realized.en_UK
dc.identifier.citationAktas E. (2022) Big data applications in supply chain management. In: The Palgrave Handbook of Supply Chain Management, Cham: Palgrave Macmillan, pp. 1-25en_UK
dc.identifier.eissn978-3-030-89822-9
dc.identifier.isbn978-3-030-89822-9
dc.identifier.urihttps://doi.org/10.1007/978-3-030-89822-9_74-1
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18272
dc.language.isoenen_UK
dc.publisherPalgrave Macmillanen_UK
dc.subjectData captureen_UK
dc.subjectDescriptive Analyticsen_UK
dc.subjectPredictive Analyticsen_UK
dc.subjectPrescriptive Analyticsen_UK
dc.subjectLogisticsen_UK
dc.subjectDistributionen_UK
dc.subjectWarehousingen_UK
dc.subjectRetailen_UK
dc.titleBig data applications in supply chain managementen_UK
dc.typeBook chapteren_UK

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