University Of Tasmania

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Risk identification and modeling for blockchain-enabled container shipping systems

journal contribution
posted on 2023-05-20, 17:10 authored by Son NguyenSon Nguyen, Shu-Ling ChenShu-Ling Chen, Yuquan Du

Purpose: Although being considered for adoption by stakeholders in container shipping, application of blockchain is hindered by different factors. This paper investigates the potential operational risks of blockchain-integrated container shipping systems as one of such barriers.

Design/methodology/approach: Literature review is employed as the method of risk identification. Scientific articles, special institutional reports and publications of blockchain solution providers were included in an inclusive qualitative analysis. A directed acyclic graph (DAG) was constructed and analyzed based on network topological metrics.

Findings: Twenty-eight potential risks and 47 connections were identified in three groups of initiative, transitional and sequel. The DAG analysis results reflect a relatively well-connected network of identified hazardous events (HEs), suggesting the pervasiveness of information risks and various multiple-event risk scenarios. The criticality of the connected systems' security and information accuracy are also indicated.

Originality/value: This paper indicates the changes of container shipping operational risk in the process of blockchain integration by using updated data. It creates awareness of the emerging risks, provides their insights and establishes the basis for further research.


iMOVE Australia


Publication title

International Journal of Physical Distribution and Logistics Management






Australian Maritime College


Emerald Publishing Limited

Place of publication

United Kingdom

Rights statement

Copyright © 2020, Emerald Publishing Limited

Repository Status

  • Restricted

Socio-economic Objectives

International sea freight transport (excl. live animals, food products and liquefied gas)