Understanding AI Adoption in Onshore Maritime Logistics in Sweden
| dc.contributor.author | Reljanovic, Momir | |
| dc.contributor.author | Ashrafzadeh Esfahani, Ali | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper | sv |
| dc.contributor.department | Chalmers University of Technology / Department of Mechanics and Maritime Sciences | en |
| dc.contributor.examiner | Olindersson, Fredrik | |
| dc.contributor.supervisor | Mao , Wengang | |
| dc.date.accessioned | 2025-10-30T13:09:41Z | |
| dc.date.issued | 2025 | |
| dc.date.submitted | ||
| dc.description.abstract | 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. | |
| dc.identifier.coursecode | MMSX17 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/310695 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | Technology | |
| dc.subject | artificial intelligence | |
| dc.subject | maritime logistics | |
| dc.subject | sustainability | |
| dc.subject | cybersecurity | |
| dc.subject | route optimization | |
| dc.subject | ESG reporting | |
| dc.subject | predictive maintenance | |
| dc.subject | digital transformation | |
| dc.subject | Gothenburg | |
| dc.subject | qualitative research | |
| dc.subject | artificiell intelligens | |
| dc.subject | maritim logistik | |
| dc.subject | hållbarhet | |
| dc.subject | cybersäkerhet | |
| dc.subject | ruttoptimering, | |
| dc.subject | ESG-rapportering | |
| dc.subject | prediktivt underhåll, | |
| dc.subject | digital transformation | |
| dc.subject | Göteborg | |
| dc.subject | kvalitativ forskning | |
| dc.title | Understanding AI Adoption in Onshore Maritime Logistics in Sweden | |
| dc.type.degree | Examensarbete på kandidatnivå | sv |
| dc.type.degree | Bachelor Thesis | en |
| dc.type.uppsok | M2 | |
| local.programme | Internationell logistik 180 hp (teknologie kandidatexamen) |
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