Regression Predictive Model to Analyze Big Data Analytics in Supply Chain Management - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2021

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

Résumé

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.
Fichier principal
Vignette du fichier
509922_1_En_8_Chapter.pdf (275.27 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03287687 , version 1 (15-07-2021)

Licence

Identifiants

Citer

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⟩
133 Consultations
81 Téléchargements

Altmetric

Partager

More