Understanding AI Adoption in Onshore Maritime Logistics in Sweden
Publicerad
Författare
Typ
Examensarbete på kandidatnivå
Bachelor Thesis
Bachelor Thesis
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The maritime logistics industry is experiencing digital transformation and integrating AI
technologies into its onshore operations. This research aims to understand the strategic AI
implementation to boost maritime logistics sustainability while improving operational
efficiency and regulatory adherence. The research took place at Chalmers University of
Technology using three Gothenburg region companies, including a global container shipping
firm, a Swedish ship management company, and a port, while obtaining input from an AI
researcher.
The research combines semi-structured interviews to study AI applications in route
optimization and predictive maintenance, as well as ESG documentation and cybersecurity. The
research shows that AI provides better performance and compliance, but its adoption faces
barriers from cultural resistance and unclear regulations, and cybersecurity limitations. The
study reveals that organizational learning, together with leadership engagement, serves as an
essential factor for achieving successful AI implementation.
Beskrivning
Ämne/nyckelord
artificial intelligence, maritime logistics, sustainability, cybersecurity, route optimization, ESG reporting, predictive maintenance, digital transformation, Gothenburg, qualitative research, artificiell intelligens, maritim logistik, hållbarhet, cybersäkerhet, ruttoptimering,, ESG-rapportering, prediktivt underhåll,, digital transformation, Göteborg, kvalitativ forskning
