Internet der Dinge, Blockchain und Big Data: Welche Rolle(n) spielen sie bei der Entscheidungsfindung in der automobilen Lieferkette?

Internet of things, blockchain and big data: what role(s) for decision-making in the automotive supply chain?

Hicham Abbad (), Samy Souak () and Sonia Mahjoub ()
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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, 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, ONIRIS - École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique, Nantes Univ - Nantes Université

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Abstract: This case study examines the role of digitalization in decision-making within the automotive supply chain. It specifically focuses on the supply chain of the French groupRenault, exploring through participant observation how this manufacturer integrates three emerging technologies—IoT, blockchain, and big data—to enable decision-making in the management of parts and vehicle flows. The results show that IoT (capturing generated data), blockchain (decentralized and secure storage and sharing of collected data), and big data (data analysis) are complementary. Together, they create a digital and connected ecosystem that allows managers to make decisions both to react and adaptto disruptions and crises (resilience) and to anticipate them (proactivity).

Keywords: Big Data; Blockchain; IoT; Renault; Automotive supply chain (search for similar items in EconPapers)
Date: 2025-03-27
Note: View the original document on HAL open archive server: https://hal.science/hal-05069463v1
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Published in Revue française de gestion industrielle, 2025, 39 (1), pp.29-41. ⟨10.53102/2025.39.01.1183⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05069463

DOI: 10.53102/2025.39.01.1183

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