Abstract
Despite the emerging consensus in the maritime field that AI could significantly enhance operational efficiency, safety, and sustainability, the industry has been slow to embrace AI due to employee resistance and the sector's inherent complexity. Thus, this study applies the “AI socialisation” process to analyse the symbiotic relationship between AI systems and human employees, which can enhance Human-AI collaboration and innovation within maritime companies. In contrast to prior research focusing on individual attitudes or group dynamics, this study highlights three key organisational digital enablers—digital leadership, digital culture, and digital human resource management— that are crucial for effective AI socialisation. Data were collected from maritime companies in Singapore, and structural equation modelling was used to analyse 123 responses. The findings reveal that these digital enablers significantly impact AI task mastery. This mastery influences AI job clarity and trust, which subsequently drive both service and process innovation. The interplay between digital enablers and human-AI collaboration demonstrates satisfactory explanatory power for service innovation (R2 = 36 %) and process innovation (R2 = 34 %). This study deepens the understanding of human-AI collaboration and innovation and also offers strategic insights for maritime companies on seamlessly integrating AI into their operations.
Original language | English |
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Article number | 104053 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 197 |
DOIs | |
Publication status | Published - May 2025 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
ASJC Scopus Subject Areas
- Business and International Management
- Civil and Structural Engineering
- Transportation
Keywords
- AI socialisation
- Digital enablers
- Human-AI collaboration
- Process innovation
- Service innovation