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

The 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 UK retail sector how such support align supply chain resilience We explore views of major stakeholders proactive use BD grocery stores associated analytics tools practices. contribution lies within literature streams DT by investigating role analytical preparing demand focuses way firms, as stores, could proactively prepare situations (e.g., pandemic crises). industry can adjust risks failure to SC activities through insight gained from well-designed strategies. paper also proposes ends with future research directions.