Abstract
Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime shipping management and operations. This might have a significant and beneficial impact on the Chinese maritime industry, which has recently emerged as a prominent player on the global stage due to the fast development of its maritime infrastructures and economical opportunities. This paper introduces two-field research conducted by a web-based questionnaire survey and semi-structured interviews with a large number of stakeholders in the maritime sector. The analyses show the impact of the development of big data technologies as well as current obstacles which constrain their deployment in the global maritime sector. The paper finally suggests several directions for promoting the wide-scale utilization of BDA in the maritime industry.
Funder
National Social Science Foundation of China
Key Project of Soft Science Research of Science and Technology Innovation Action Plan of Shanghai
National Natural Science Foundation of China
Chinese Academy of Sciences President’s International Fellowship Initiative
Chinese Academy of Sciences
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
Reference72 articles.
1. Schultz, J. (2022, December 04). How Much Data Is Created on the Internet Each Day?. Available online: https://blog.microfocus.com/how-much-data-is-created-on-the-internet-each-day/.
2. Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD): Data and Tools for Dynamic Management and Decision Support;Humphries;Polar Rec.,2017
3. Groves, P., Kayyali, B., Knott, D., and Kuiken, S.V. (2022, December 05). The “Big Data” Revolution in Healthcare: Accelerating Value and Innovation, Available online: http://repositorio.colciencias.gov.co/handle/11146/465.
4. Big Data and Business Analytics: A Research Agenda for Realizing Business Value;Mikalef;Inf. Manag.,2020
5. Lind, M., Michaelides, M., Ward, R., and Watson, R.T. (2021). Maritime Informatics, Springer International Publishing. Progress in IS.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献