Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/15062
Full metadata record
DC FieldValueLanguage
dc.contributor.authorStefanovic, Nenad-
dc.date.accessioned2022-09-13T11:50:50Z-
dc.date.available2022-09-13T11:50:50Z-
dc.date.issued2022-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/15062-
dc.description.abstractThe current approach to supply chain intelligence has some fundamental challenges when confronted with the scale and characteristics of big data. In this chapter, applications, challenges and new trends in supply chain big data analytics are discussed and background research of big data initiatives related to supply chain management is provided. The methodology and the unified model for supply chain big data analytics which comprises the whole business intelligence (data science) lifecycle is described. It enables creation of the next-generation cloud-based big data systems that can create strategic value and improve performance of supply chains. Finally, example of supply chain big data solution that illustrates applicability and effectiveness of the model is presented.-
dc.rightsrestrictedAccess-
dc.sourceResearch Anthology on Big Data Analytics, Architectures, and Applications-
dc.titleBig Data Analytics in Supply Chain Management-
dc.typebookPart-
dc.identifier.doi10.4018/978-1-6684-3662-2.ch088-
dc.identifier.scopus2-s2.0-85130150474-
Appears in Collections:Faculty of Science, Kragujevac

Page views(s)

112

Downloads(s)

9

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.85 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.