块链
供应链
服务提供商
业务
过程管理
人道主义后勤
服务(商务)
独创性
供应链管理
综合后勤保障
计算机科学
营销
计算机安全
创造力
政治学
法学
作者
Jiajun Tan,Wai P. Wong,Chee Keong Tan,Suriyan Jomthanachai,Chee Peng Lim
出处
期刊:Asia Pacific Journal of Marketing and Logistics
[Emerald (MCB UP)]
日期:2023-12-22
卷期号:36 (6): 1442-1463
被引量:2
标识
DOI:10.1108/apjml-07-2023-0650
摘要
Purpose Technology is the lifeline for the logistics industry, and it has been immensely disrupted by the emerging blockchain technology. This paper has two main objectives. The first is to explore how the current blockchain technology can be implemented in the logistics industry with the aim of improving logistic services amongst the network of logistics service providers (LSPs). The second is to propose the development of a blockchain model for the small and medium logistics service supply chain. Design/methodology/approach A prototype blockchain-based logistics system has been created and tested in a case study with a real logistics company. The primary technologies for developing a blockchain model on the Hyperledger platform as well as how the system is designed based on the logistics service flow are explained. Findings The study has resulted in the successful implementation of the proposed prototype blockchain-based logistics system. In particular, the case company has managed to fully utilise the developed tracking and tracing system. Whilst utilising the prototype, the participants have been able to fulfil their responsibilities in an effective manner. The performance of LSPs has improved following the World Bank Logistics Performance Index (LPI) criteria. Originality/value This paper contributes to current research in the application of blockchain technologies in the domain of logistics and the supply chain to progress LSPs towards Logistics 4.0. The current frameworks for Logistics 4.0 and how blockchain as a disruptive technology revolutionises logistic services are reviewed. In addition, this paper highlights the benefits of blockchain technology that LSPs can leverage to further improve their performance based on the LPI criteria.
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