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Regression Predictive Model to Analyze Big Data Analytics in Supply Chain Management

Abstract : The research problem that is the interest in this thesis is to understand the Big Data Analytics (BDA) potential in achieving a much better Supply Chain Management (SCM). Based on this premise, it was conducted a Regression Predictive Model to comprehend the usage of Big Data Analytics in SCM and to have insights of the requirements for the potential applications of BDA. In this study were analyzed the main sources of BDA utilized in present by Supply Chain professionals and it was provided future suggestions. The findings of the study suggest that BDA may bring operational and strategic benefit to SCM, and the application of BDA may have positive implication for industry sector.
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https://hal.inria.fr/hal-03287687
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Submitted on : Thursday, July 15, 2021 - 6:11:05 PM
Last modification on : Friday, August 13, 2021 - 4:29:53 PM
Long-term archiving on: : Saturday, October 16, 2021 - 7:07:21 PM

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Elena Puica. Regression Predictive Model to Analyze Big Data Analytics in Supply Chain Management. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.94-101, ⟨10.1007/978-3-030-79150-6_8⟩. ⟨hal-03287687⟩

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