A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices
A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices
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DOI：
10.3390/su15097305
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发表时间：
2023-04
期刊：
影响因子：
3.9
通讯作者：
Simon Wong;John-Kun-Woon Yeung;Yui-yip Lau;T. Kawasaki
中科院分区：
文献类型：
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作者：
Simon Wong;John-Kun-Woon Yeung;Yui-yip Lau;T. Kawasaki
在过去的六年里，关于区块链技术在供应链中的应用以及这些应用如何为供应链管理带来好处的研究兴趣有所上升。在更广泛的意义上，文献中讨论的一个重要研究焦点是供应链中的这种新兴区块链技术如何为社区带来可持续的好处。将云技术融入区块链并将区块链与机器学习相结合用于供应链应用的基本原理是为了保持技术可持续性。虽然之前的研究建议并报道了在供应链中应用区块链技术的可持续做法，但文献中尚未彻底探索基于云区块链与机器学习(CBML)相结合带来这些做法的方法。本文提出的案例研究旨在通过国际领先的集装箱航运公司马士基在供应链管理中使用CBML的案例，探索在技术、环境、经济和社会上可持续的实践，以填补这一空白。马士基在发布的文件中提出的用例是从互联网上收集的，然后进行了分析。该文档分析以两种方式执行。第一种方式是对马士基使用的区块链技术进行技术审查，并考虑到技术的可持续性，以确保可扩展性和大数据分析。另一种方法是分析马士基CBML的应用，以表明如何实现环境可持续性、经济可持续性和社会可持续性。另一方面，本文还强调了马士基对技术、环境、经济和社会可持续发展造成的负面影响，并讨论了对未来研究方向的影响。
In the last six years, there has been a rise in research interest with regard to the applications of blockchain technology in supply chains and how these applications bring benefits to supply chain management. In a broader sense, an essential research focus that has been discussed in the literature is the way in which this emerging blockchain technology in supply chains brings sustainable benefits to a community. The rationale for incorporating cloud technology into a blockchain and integrating the blockchain with machine learning for supply chain applications is to maintain technical sustainability. While previous studies suggested and reported sustainable practices of applying blockchain technology in supply chains, the means with which these practices are brought about by the cloud-based blockchain integrated with machine learning (CBML) have not been thoroughly explored in the literature. The case study presented in this paper aims to fill this gap by exploring technically, environmentally, economically, and socially sustainable practices through the use cases of CBML for supply chain management by the international leading container shipping company Maersk. The use cases by Maersk presented in published documents were collected from the Internet and then analyzed. This document analysis was performed in two ways. The first way was a technical review of the blockchain technology used by Maersk with a consideration of technical sustainability to ensure scalability and big data analytics. The other way was to analyze the applications of the CBML by Maersk to indicate how environmental sustainability, economic sustainability, and social sustainability can be achieved. On the other hand, this paper also highlights the negative technical, environmental, economic, and social sustainability impacts caused by Maersk and discusses implications for future research directions.