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  1. National Taiwan Ocean University Research Hub
  2. 人文社會科學院
  3. 海洋觀光管理學士學位學程(系)
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/26560
DC FieldValueLanguage
dc.contributor.authorChen, Patrichka W. -Y.en_US
dc.contributor.authorOlivia, Madelineen_US
dc.contributor.authorMukhanov, Vladimiren_US
dc.contributor.authorMargarita, Ufimtsevaen_US
dc.contributor.authorTatiana, Liashkoen_US
dc.contributor.authorEvgenii, Sakhonen_US
dc.contributor.authorSupriyadien_US
dc.contributor.authorPuspitasari, Intan D.en_US
dc.contributor.authorGhosh, Arpitaen_US
dc.contributor.authorTsai, An-Yien_US
dc.date.accessioned2026-08-10T03:11:08Z-
dc.date.available2026-08-10T03:11:08Z-
dc.date.issued2025/1/1-
dc.identifier.issn1023-2796-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/26560-
dc.description.abstractThe shipping industry is undergoing significant transformation with advancements in artificial intelligence (AI), yet challenges remain in effectively adopting AI technologies. This study addresses the key concerns influencing AI adoption in shipping management. Using the analytical hierarchy process (AHP) integrated with the PEST model, an evaluation framework was developed to assess AI applications in shipping companies. Based on expert input collected through the Delphi method, four constructs and twelve criteria were identified, with the 'Technological' dimension being the most critical. 'Robustness,' 'Costs,' and 'Data quality' emerged as the top factors affecting AI implementation. The framework offers practical insights for shipping companies to strategically deploy AI, improving operational efficiency and competitiveness.en_US
dc.language.isoEnglishen_US
dc.publisherNATL TAIWAN OCEAN UNIVen_US
dc.relation.ispartofJOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWANen_US
dc.subjectArtificial intelligenceen_US
dc.subjectShipping managementen_US
dc.subjectAnalytic hierarchy processen_US
dc.subjectPEST analysisen_US
dc.titleEmpowering Shipping Management Competence with rtficaAiiil Intelligence: A Strategic Approach to External Environmental Volatilityen_US
dc.typejournal articleen_US
dc.identifier.doi10.51400/2709-6998.2795-
dc.identifier.isiWOS:001704220800001-
dc.relation.journalvolume33en_US
dc.relation.journalissue4en_US
dc.relation.pages14en_US
dc.identifier.eissn2709-6998-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1English-
item.fulltextno fulltext-
item.openairetypejournal article-
item.grantfulltextnone-
item.cerifentitytypePublications-
crisitem.author.deptCollege of Ocean Science and Resource-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptInstitute of Marine Environment and Ecology-
crisitem.author.orcid0000-0002-5925-326X-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Ocean Science and Resource-
Appears in Collections:海洋觀光管理學士學位學程(系)
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