[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127528-en":3,"doc-seo-127528-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},127528,687207017582,"Himbo","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices","Rising research interest over the past six years examines how blockchain applications in supply chains generate management benefits and broader community sustainability. The study addresses a research gap by focusing on how cloud-based blockchain integrated with machine learning (CBML) enables technically, environmentally, economically, and socially sustainable practices in Maersk’s supply chain use cases. Published Maersk documents were collected from the internet and analyzed through technical review and sustainability impact assessment, including exploration of scalability, big-data analytics, and future research implications.","sustainability   \nArticle  \nA Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices  \nSimon Wong 1, John Kun-Woon Yeung 2, Yui-Yip Lau 3 and Tomoya Kawasaki 4, *  \nCitation: Wong, S.; Yeung, J.K.-W.; Lau, Y.-Y.; Kawasaki, T. A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices. Sustainability 2023, 15, 7305. [https://](https://)[ ](https://)[doi.org/10.3390/su15097305](doi.org/10.3390/su15097305)  \nAcademic Editor: Nirajan Shiwakoti  \nReceived: 8 March 2023  \nRevised: 22 April 2023  \nAccepted: 25 April 2023  \nPublished: 27 April 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 Division of Science, Engineering and Health Studies, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong, China; [simon.wong@cpce-polyu.edu.hk](simon.wong@cpce-polyu.edu.hk)  \n2 Data Science Academy, Hong Kong, China;[jyeung@dsa.com.hk](jyeung@dsa.com.hk)  \n3 Division of Business and Hospitality Management, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong, China; [yuiyip.lau@cpce-polyu.edu.hk](yuiyip.lau@cpce-polyu.edu.hk)  \n4 Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan  \n* Correspondence: [kawasaki@sys.t.u-tokyo.ac.jp](kawasaki@sys.t.u-tokyo.ac.jp)  \nAbstract: 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.  \nKeywords: blockchain; cloud; machine learning; supply chain; technical sustainability; environmental sustainability; economic sustainability; social sustainability  \n1. Introduction  \nStudies concerning blockchain technology in the supply chain were first reported in 2017 [1] . Since then, attention has been drawn to the applicat","cbCaitmfN3VCSHRo","https://ap.wps.com/l/cbCaitmfN3VCSHRo","pdf",1876754,1,17,"English","en",105,"# Introduction\n## Blockchain in Supply Chains\n## Blockchain Fundamentals and Key Features\n# Abstract\n# Keywords","[{\"question\":\"What research gap does the case study address?\",\"answer\":\"It examines how cloud-based blockchain integrated with machine learning (CBML) drives sustainable practices, since prior studies rarely explored the mechanisms behind those outcomes in detail.\"},{\"question\":\"How was Maersk’s CBML use case material analyzed?\",\"answer\":\"Maersk’s published use-case documents were collected from the internet and analyzed using two approaches: a technical review and a sustainability-focused assessment.\"},{\"question\":\"Which sustainability dimensions are evaluated in the paper?\",\"answer\":\"The paper evaluates technical sustainability and also addresses environmental, economic, and social 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