Understanding AI Adoption in Onshore Maritime Logistics in Sweden

dc.contributor.authorReljanovic, Momir
dc.contributor.authorAshrafzadeh Esfahani, Ali
dc.contributor.departmentChalmers tekniska högskola / Institutionen för mekanik och maritima vetenskapersv
dc.contributor.departmentChalmers University of Technology / Department of Mechanics and Maritime Sciencesen
dc.contributor.examinerOlindersson, Fredrik
dc.contributor.supervisorMao , Wengang
dc.date.accessioned2025-10-30T13:09:41Z
dc.date.issued2025
dc.date.submitted
dc.description.abstractThe 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.coursecodeMMSX17
dc.identifier.urihttp://hdl.handle.net/20.500.12380/310695
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectartificial intelligence
dc.subjectmaritime logistics
dc.subjectsustainability
dc.subjectcybersecurity
dc.subjectroute optimization
dc.subjectESG reporting
dc.subjectpredictive maintenance
dc.subjectdigital transformation
dc.subjectGothenburg
dc.subjectqualitative research
dc.subjectartificiell intelligens
dc.subjectmaritim logistik
dc.subjecthållbarhet
dc.subjectcybersäkerhet
dc.subjectruttoptimering,
dc.subjectESG-rapportering
dc.subjectprediktivt underhåll,
dc.subjectdigital transformation
dc.subjectGöteborg
dc.subjectkvalitativ forskning
dc.titleUnderstanding AI Adoption in Onshore Maritime Logistics in Sweden
dc.type.degreeExamensarbete på kandidatnivåsv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
local.programmeInternationell logistik 180 hp (teknologie kandidatexamen)

Ladda ner

Original bundle

Visar 1 - 1 av 1
Hämtar...
Bild (thumbnail)
Namn:
Grupp 290 - Ashrafzadeh Esfahani & Reljanovic - Understanding AI Adoption in Onshore Maritime Logistics in Sweden.pdf
Storlek:
3.82 MB
Format:
Adobe Portable Document Format

License bundle

Visar 1 - 1 av 1
Hämtar...
Bild (thumbnail)
Namn:
license.txt
Storlek:
2.35 KB
Format:
Item-specific license agreed upon to submission
Beskrivning: