Internet des objets, blockchain et big data: quel(s) rôle(s) pour la prise de décisions dans la supply chain automobile ?
Hicham Abbad (),
Samy Souak and
Sonia Mahjoub ()
Additional contact information
Hicham Abbad: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université
Sonia Mahjoub: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université
Working Papers from HAL
Abstract:
This case study discusses the role of digitalization in decision-making within the automotive supply chain. She is more specifically interested in the case of the supply chain of the French group Renault by exploring through participant observation the way in which this manufacturer articulates three emerging technologies, IoT, blockchain and big data, to enable decision-making in the management flows of parts and vehicles. The results show that IoT (capture of generated data), blockchain (decentralized and secure storage and sharing of collected data) and big data (data analysis) are complementary and form a digital and connected ecosystem allowing managers to take decisions both to react and adapt to hazards and crises (resilience) and to anticipate them (proactivity).
Keywords: Big Data; Blockchain; IoT; Renault; Supply chain automobile (search for similar items in EconPapers)
Date: 2024-05-01
Note: View the original document on HAL open archive server: https://nantes-universite.hal.science/hal-04565500v1
References: Add references at CitEc
Citations:
Downloads: (external link)
https://nantes-universite.hal.science/hal-04565500v1/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:wpaper:hal-04565500
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().