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Integrating machine learning into business and management in the age of artificial intelligence

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dc.creatorOjeda-Sanchez, Carlos A.spa
dc.creatorVega Pérez, Carlos Jesússpa
dc.creatorBatz Liñeiro, Aglaya, DCroz-Barón, David F.spa
dc.date.accessioned2025-07-21T16:48:16Z
dc.date.available2025-07-21T16:48:16Z
dc.date.created2025-12-01spa
dc.date.issued2025-12-01spa
dc.description.abstractMachine learning, with its capacity to leverage computational techniques for experiential learning, has profoundly influenced various disciplines, including business and management. Despite its contributions to the progress of these fields and the advent of artificial intelligence presenting new challenges, there remains ambiguity regarding the specific areas of significant advancement and those with potential for further development. This study addresses three central questions: (1) How is the intellectual landscape of machine learning in business and management research organized and structured? (2) What are the primary applications of machine learning in business administration? And (3) What strategic considerations should companies adopt to effectively leverage machine learning in their business applications? By means of co-occurrence analysis of over 9399 peer-reviewed documents retrieved from Scopus discussing machine learning in business and management, we identified fifteen clusters within the literature. This classification serves as a starting point for firms looking to integrate ML into their routines across fifteen distinct topics. Although some firms have appropriated ML, the upsurge of artificial intelligence presents new challenges, including the digital divide, infrastructure and acquisition dilemmas, security concerns especially with outsourced services, and cost-effectiveness in algorithm selection and practical applications.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1057/s41599-025-04361-6spa
dc.identifier.issn2055-1045spa
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/46083
dc.language.isoengspa
dc.publisherNature Portafoliospa
dc.relation.ispartofHumanities and Social Science Communications (2025)spa
dc.relation.urihttps://www.nature.com/articles/s41599-025-04361-6spa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.sourceHumanities and Social Science Communicationsspa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordMachine learningeng
dc.subject.keywordComputational techniqueseng
dc.subject.keywordExperiential learningeng
dc.subject.keywordBusinesseng
dc.subject.keywordManagementeng
dc.subject.keywordArtificial intelligenceeng
dc.subject.keywordIntellectual landscapeeng
dc.subject.keywordResearch organizationeng
dc.subject.keywordResearch structureeng
dc.subject.keywordPrimary applicationseng
dc.subject.keywordBusiness administrationeng
dc.subject.keywordStrategic considerationseng
dc.subject.keywordCompanieseng
dc.subject.keywordLeverageeng
dc.subject.keywordBusiness applicationseng
dc.subject.keywordCo-occurrence analysiseng
dc.subject.keywordPeer-reviewed documentseng
dc.subject.keywordScopuseng
dc.subject.keywordLiterary clusterseng
dc.subject.keywordClassificationeng
dc.subject.keywordFirmseng
dc.subject.keywordIntegrate MLeng
dc.subject.keywordRoutineseng
dc.subject.keywordDigital divideeng
dc.subject.keywordInfrastructure dilemmaseng
dc.subject.keywordAcquisition dilemmaseng
dc.subject.keywordSecurity concernseng
dc.subject.keywordOutsourced serviceseng
dc.subject.keywordCost-effectivenesseng
dc.subject.keywordAlgorithm selectioneng
dc.subject.keywordPractical applicationseng
dc.titleIntegrating machine learning into business and management in the age of artificial intelligencespa
dc.typearticlespa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.type.spaArtículo de Investigaciónspa
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