Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorStukalina, Yulia
dc.contributor.authorZervina, Olga
dc.date.accessioned2024-03-14T10:33:04Z
dc.date.available2024-03-14T10:33:04Z
dc.date.issued2023
dc.date.submitted2023-01-29
dc.identifier.isbn9786094763335en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/153935
dc.description.abstractThe purpose of the paper is to explore cutting-edge AI-based solutions applied for providing a multi-business company with the capability to increase business value in the agenda of digital transformation. The main elements of a scale-up business strategy, where AI creates business value, are identified and described. The methodology includes secondary research involving reviewing and interpretation of secondary data, analysis of publicly available statistical data, and a case study for providing factual evidence from a specific example – the company, which is one of the best illustrations of business digital transformation. The conducted research shows that today, data has become key resource for data-driven business model innovation and maximizing business value. The results are supposed to contribute to the debate what AI means for business leaders in the agenda of developing a scale-up strategy, and how they would benefit from building an AI-powered company.en_US
dc.format.extent9 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.isreferencedbyScopusen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/153869en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source.urihttps://bm.vgtu.lt/index.php/verslas/2023/schedConf/presentationsen_US
dc.subjectdigital economyen_US
dc.subjectdataen_US
dc.subjectbusiness valueen_US
dc.subjectArtificial Intelligence (AI)en_US
dc.titleBusiness digital transformation in the data-driven economy: enhancing value with ai servicesen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeAdvanced economic developmenten_US
dcterms.dateAccepted2023-03-17
dcterms.issued2023
dcterms.licenseCC BYen_US
dcterms.references51en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publicationen_US
dc.contributor.orcidhttps://orcid.org/0000-0002-2660-4975, Stukalina Yulia
dc.contributor.orcidhttps://orcid.org/0000-0002-3323-9443, Zervina Olga
dc.contributor.institutionTransport and Telecommunication Institution, Riga, Latviaen_US
dcterms.sourcetitle13th International Scientific Conference “Business and Management 2023”en_US
dc.description.volumeIen_US
dc.identifier.eisbn9786094763342en_US
dc.identifier.eissn2029-929Xen_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.date.firstonline2023-05-25
dc.identifier.doihttps://doi.org/10.3846/bm.2023.955en_US


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