Blockchain and Risk in Supply Chain Management

Rami Alkhudary (), Xavier Brusset and Pierre Fenies
Additional contact information
Rami Alkhudary: LARGEPA - Laboratoire de recherche en sciences de gestion Panthéon-Assas - Université Paris-Panthéon-Assas
Pierre Fenies: LARGEPA - Laboratoire de recherche en sciences de gestion Panthéon-Assas - Université Paris-Panthéon-Assas

Post-Print from HAL

Abstract: Due to their decentralised structures and diverse networks, supply chains are prone to suffer from disruptive events, which are usually covered by supply chain risk management (SCRM). The blockchain technology (BT), by its very nature, presents opportunities in helping the actors in such supply chains to enhance security and transparency. BT is defined as a database that registers digital assets in a secure, transparent, and immutable manner. Organisations have tested many BT applications. However, to the best of our knowledge, the literature is still nascent as to how BT reduces the risk in supply chains. To bridge this gap, we (i) review the literature on SCRM and (ii) run multiple case studies. The conclusions presented exemplify how some risks may be best circumscribed in the usual operations of supply chains. The paper may serve both practitioners and academics.

Keywords: Blockchain; Supply chain risk management; Dynamic capabilities (search for similar items in EconPapers)
Date: 2020-04-16
References: Add references at CitEc
Citations:

Published in Dynamics in Logistics, Springer International Publishing, pp.159-165, 2020, Lecture Notes in Logistics, ⟨10.1007/978-3-030-44783-0_15⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:halshs-04036875

DOI: 10.1007/978-3-030-44783-0_15

Access Statistics for this paper

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