Critical analysis of the impact of big data analytics on supply chain operations

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dc.contributor.authorHasan, Ruaa
dc.contributor.authorKamal, Muhammad Mustafa
dc.contributor.authorDaowd, Ahmad
dc.contributor.authorEldabi, Tillal
dc.contributor.authorKoliousis, Ioannis
dc.contributor.authorPapadopoulos, Thanos
dc.date.accessioned2022-05-18T11:00:06Z
dc.date.available2022-05-18T11:00:06Z
dc.date.issued2022-05-16
dc.description.abstractUndoubtedly, due to the increasingly competitive pressures and the stride of varying demands, volatility and disturbance have become the standard in today’s global markets. The spread of Covid-19 is a prime example of that. Supply chain managers are urged to rethink their competitive strategies to make use of Big Data Analytics (BDA), due to the increasing uncertainty in both demand and supply side, the competition among the supply chain partners and the need to identify ways to offer personalised products and services. With many supply chain executives recognising the need of ‘improving with data’, supply chain businesses need to equip themselves with sophisticated BDA methods/techniques to create valuable insights from big data, thus, enhancing the decision-making process and optimising the efficiency of Supply Chain Operations (SCO). This paper proposes the building blocks of a theoretical framework for understanding the impact of BDA on SCO. The framework is based on a Systematic Literature Review (SLR) on BDA and SCO, underpinned by Task-Technology-Fit theory and Institutional Theory. The paper contributes to the literature by building a platform for future work on investigating factors driving and inhibiting BDA impact on SCO.en_UK
dc.identifier.citationHasan R, Kamal MM, Daowd A, et al., (2022) Critical analysis of the impact of big data analytics on supply chain operations, Production Planning and Control, Available online 16 May 2022.en_UK
dc.identifier.eissn1366-5871
dc.identifier.issn0953-7287
dc.identifier.urihttps://doi.org/10.1080/09537287.2022.2047237
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/17909
dc.language.isoenen_UK
dc.publisherTaylor & Francisen_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBig Data Analyticsen_UK
dc.subjectsupply chain operationsen_UK
dc.subjectoptimisationen_UK
dc.subjectdecision-makingen_UK
dc.subjecttask-technology-fit theoryen_UK
dc.subjectinstitutional theoryen_UK
dc.titleCritical analysis of the impact of big data analytics on supply chain operationsen_UK
dc.typeArticleen_UK

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