ABSTRACT

Maritime shipping is considered the backbone of the global supply chain. It is expected that future fully automated smart ports will be data-driven, harvesting power from advanced analytics and artificial intelligence. Under the hood, Internet of Things (IoT) technologies are considered as an enabling foundation of new data sources for innovations and high-level automation. Thus, enterprise data management becomes critical when implementing IoT projects. However, the implementation of data management needs to be governed. Although the IoT adoption in smart ports receives significant interest from the port authority, the effectiveness of the IoT adoption lacks proper evaluation and support of comprehensive data management policy and guidelines. By using the systematic literature review and a case study to analyze the current gaps in IoT data governance research, this research shows that IoT data governance still needs to catch up in smart ports. In particular, compared to other industries, data lifecycle management and data quality management are two key data governance areas that should receive increasing attention from the port authorities. It is believed that with adequate data governance, smart ports can truly harvest the power of IoT to improve operational efficiency and sustainability with an increasing level of automation.

摘要

海运被认为是全球供应链的支柱。预计未来的全自动智能港口将由数据驱动，从高级分析和人工智能中获取力量。在幕后，物联网 (IoT) 技术被视为创新和高级自动化的新数据源的支持基础。因此，在实施物联网项目时，企业数据管理变得至关重要。但是，数据管理的实施需要进行治理。尽管智能港口采用物联网引起了港务局的极大兴趣，但物联网采用的有效性缺乏适当的评估和对全面数据管理政策和指南的支持。本研究通过系统的文献综述和案例研究分析当前物联网数据治理研究的差距，表明物联网数据治理在智能港口仍需迎头赶上。特别是，与其他行业相比，数据生命周期管理和数据质量管理是两个关键的数据治理领域，应该得到港口当局的重视。人们相信，通过充分的数据治理，智能港口可以真正发挥物联网的力量，提高运营效率和可持续性，并提高自动化水平。数据生命周期管理和数据质量管理是两个关键的数据治理领域，应该受到港口当局越来越多的关注。人们相信，通过充分的数据治理，智能港口可以真正发挥物联网的力量，提高运营效率和可持续性，并提高自动化水平。数据生命周期管理和数据质量管理是两个关键的数据治理领域，应该受到港口当局越来越多的关注。人们相信，通过充分的数据治理，智能港口可以真正发挥物联网的力量，提高运营效率和可持续性，并提高自动化水平。