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https://scidar.kg.ac.rs/handle/123456789/15062
Full metadata record
DC Field | Value | Language |
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dc.rights.license | restrictedAccess | - |
dc.contributor.author | Stefanovic, Nenad | - |
dc.date.accessioned | 2022-09-13T11:50:50Z | - |
dc.date.available | 2022-09-13T11:50:50Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/15062 | - |
dc.description.abstract | The 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.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.source | Research Anthology on Big Data Analytics, Architectures, and Applications | - |
dc.title | Big Data Analytics in Supply Chain Management | - |
dc.type | bookPart | - |
dc.identifier.doi | 10.4018/978-1-6684-3662-2.ch088 | - |
dc.identifier.scopus | 2-s2.0-85130150474 | - |
Appears in Collections: | Faculty of Science, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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PaperMissing.pdf Restricted Access | 29.85 kB | Adobe PDF | View/Open |
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