Data-driven digital transformation for emergency situations: the case of the UK retail sector

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dc.contributor.authorPapanagnou, Christos
dc.contributor.authorSeiler, Andreas
dc.contributor.authorSpanaki, Konstantina
dc.contributor.authorPapadopoulos, Thanos
dc.contributor.authorBourlakis, Michael
dc.date.accessioned2022-10-14T14:37:12Z
dc.date.available2022-10-14T14:37:12Z
dc.date.issued2022-09-02
dc.description.abstractThe study explores data-driven Digital Transformation (DT) for emergency situations. By adopting a dynamic capability view, we draw on the predictive practices and Big Data (BD) capabilities applied in the UK retail sector and how such capabilities support and align the supply chain resilience in emergency situations. We explore the views of major stakeholders on the proactive use of BD capabilities of UK grocery retail stores and the associated predictive analytics tools and practices. The contribution lies within the literature streams of data-driven DT by investigating the role of BD capabilities and analytical practices in preparing supply and demand for emergency situations. The study focuses on the predictive way retail firms, such as grocery stores, could proactively prepare for emergency situations (e.g., pandemic crises). The retail industry can adjust the risks of failure to the SC activities and prepare through the insight gained from well-designed predictive data-driven DT strategies. The paper also proposes and ends with future research directions.en_UK
dc.identifier.citationPapanagnou C, Seiler A, Spanaki K, Et al., (2022) Data-driven digital transformation for emergency situations: the case of the UK retail sector. International Journal of Production Economics, Volume 250, August 2022, Article number 108628en_UK
dc.identifier.issn0925-5273
dc.identifier.urihttps://doi.org/10.1016/j.ijpe.2022.108628
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18565
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDigital transformationen_UK
dc.subjectBig data capabilityen_UK
dc.subjectEmergency situationsen_UK
dc.subjectPredictive analyticsen_UK
dc.subjectRetail industryen_UK
dc.subjectStructural equation modellingen_UK
dc.titleData-driven digital transformation for emergency situations: the case of the UK retail sectoren_UK
dc.typeArticleen_UK

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