<p>This study examines the adoption of artificial intelligence (AI) in the maritime industry, focusing on multiple perceptions at the Port of Rotterdam, Europe’s largest logistics hub. As the maritime industry faces increasing pressure for efficiency, resilience, and environmental compliance, AI presents significant opportunities for transformation. Through qualitative interviews with forwarders, IT specialists, port authorities, and carriers, this research highlights the potential of AI to optimize operations, improve decision-making, and enhance supply chain coordination. However, challenges such as high implementation costs, data quality issues, and workforce readiness gaps hinder widespread adoption. Participants expressed concerns over job displacement due to automation, but also recognized the necessity for upskilling to adapt to new roles. The findings emphasize that successful AI integration requires not only advanced technologies but also robust data governance and a culture of innovation. The research concludes that while AI can drive significant improvements in operational efficiency and sustainability, overcoming resistance to change and addressing ethical considerations are essential in realizing its full potential within the maritime industry. This study contributes to the literature by providing a nuanced understanding of the dynamics of AI adoption and its implications for the future of the maritime industry.</p>

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Assessing the adoption of artificial intelligence in the maritime transport industry: an empirical exploration in the port of Rotterdam

  • Valentina Fani

摘要

This study examines the adoption of artificial intelligence (AI) in the maritime industry, focusing on multiple perceptions at the Port of Rotterdam, Europe’s largest logistics hub. As the maritime industry faces increasing pressure for efficiency, resilience, and environmental compliance, AI presents significant opportunities for transformation. Through qualitative interviews with forwarders, IT specialists, port authorities, and carriers, this research highlights the potential of AI to optimize operations, improve decision-making, and enhance supply chain coordination. However, challenges such as high implementation costs, data quality issues, and workforce readiness gaps hinder widespread adoption. Participants expressed concerns over job displacement due to automation, but also recognized the necessity for upskilling to adapt to new roles. The findings emphasize that successful AI integration requires not only advanced technologies but also robust data governance and a culture of innovation. The research concludes that while AI can drive significant improvements in operational efficiency and sustainability, overcoming resistance to change and addressing ethical considerations are essential in realizing its full potential within the maritime industry. This study contributes to the literature by providing a nuanced understanding of the dynamics of AI adoption and its implications for the future of the maritime industry.