Merging the Application of Artificial Intelligence Technology in Maritime Industry: A Systematic Literature Review

Authors

  • Mohd Shafeeq Mohd Tahir Faculty of Technical and Vocational, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia
  • Ramlee Mustapha Faculty of Technical and Vocational, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia
  • Mohd Ekram Al Hafis Hashim Faculty of Art, Sustainability and Creative Industry, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia
  • Norsalwati Mohd Razalli Manjung Community College, 32040 Seri Manjung, Perak, Malaysia
  • Arthit Kleebrung Faculty of Information Technology Development, Khon Kaen Vocational College, Mueang Khon Kaen District, Khon Kaen 40000, Thailand

DOI:

https://doi.org/10.37934/araset.63.2.1934

Keywords:

Artificial intelligence, Technology, Maritime industry, Navigation

Abstract

This article presents a thorough literature review on the use of technology in artificial intelligence technology within the maritime industry. The aim is to analyse existing research and identify crucial themes, theoretical frameworks, methodologies, and areas of research gaps in this field. Specific keywords related to artificial intelligence and the maritime industry were used to search the Web of Science (WoS) and Scopus databases. A list of the 34 most frequently cited articles was compiled and analysed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a systematic and rigorous approach to selecting relevant manuscripts. The analysis revealed three key themes: (1) Role of Artificial Intelligence technology in the maritime industry, (2) challenges in adapting Artificial Intelligence technology in the maritime industry and (3) digitalisation and smart shipyards. Additionally, navigational safety and environmental impact were identified as important considerations in this field. Integrating artificial intelligence into maritime organisations able to develop immersive and impactful syllabus that simulate advanced technology. This allows maritime practitioners to develop related skills and better understand advanced technology. Furthermore, this integration fosters growth and success in the maritime industry, preparing for future development.

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Author Biographies

Mohd Shafeeq Mohd Tahir, Faculty of Technical and Vocational, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia

mohdshafeeq.6173@gmail.com

Ramlee Mustapha, Faculty of Technical and Vocational, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia

drramlee@yahoo.com

Mohd Ekram Al Hafis Hashim, Faculty of Art, Sustainability and Creative Industry, Sultan Idris Education University, 35900 Tanjung Malim, Perak, Malaysia

ekram@fskik.upsi.edu.my

Norsalwati Mohd Razalli, Manjung Community College, 32040 Seri Manjung, Perak, Malaysia

sal010287@gmail.com

Arthit Kleebrung, Faculty of Information Technology Development, Khon Kaen Vocational College, Mueang Khon Kaen District, Khon Kaen 40000, Thailand

Arthit.kleebrung@gmail.com

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Published

2024-10-03

How to Cite

Mohd Tahir, M. S., Mustapha, R., Hashim, M. E. A. H., Mohd Razalli, N., & Kleebrung, A. (2024). Merging the Application of Artificial Intelligence Technology in Maritime Industry: A Systematic Literature Review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 19–34. https://doi.org/10.37934/araset.63.2.1934

Issue

Section

Articles