Big-Data and Service Supply chain management: Challenges and opportunities

Big-Data et Service Supply chain management: Challenges et opportunités

Badr Bentalha ()
Additional contact information
Badr Bentalha: USMBA - Université Sidi Mohamed Ben Abdellah

Post-Print from HAL

Abstract: The Big-Data describes the large volume of data used by economic actors. The data is analysed quickly to formulate instant analysis and data storage. This system is useful for several economic fields such as logistics and supply chain management (SCM). The latter is a management of physical and information flows, from customer to customer and from supplier to supplier, in order to offer a satisfactory response to customer needs. SCM was born and flourished in an industrial context. Nevertheless, several cur of Big-Data help improve the performance of supply chain management in service companies? To answer this question, we will define the concepts of SCM in services, focusing on the concept of Big-Data while analyzing the impact of Big-Data on the efficiency of SCM in service companies.

Keywords: SCM; Service Logistics; Service Supply Chain; Big-Data; Supply chain; Logistique de services; Digital Supply Chain; Entreprises de Services (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-big and nep-pay
Note: View the original document on HAL open archive server: https://hal.science/hal-02680861v1
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in International Journal of Business and Technology Studies, 2020, 1 (3), ⟨10.5281/zenodo.3607357⟩

Downloads: (external link)
https://hal.science/hal-02680861v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02680861

DOI: 10.5281/zenodo.3607357

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().