Logo do repositório
 
Publicação

Unlocking machine learning business value

2019-10-01Documento de conferência Acesso aberto
Ver registo simples
dc.contributor.authorReis, Carolina
dc.contributor.authorRuivo, Pedro
dc.contributor.authorOliveira, Tiago
dc.contributor.authorFaroleiro, Paulo
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionNOVA School of Business and Economics (NOVA SBE)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.date.accessioned2022-12-09T22:18:23Z
dc.date.available2022-12-09T22:18:23Z
dc.date.issued2019-10-01
dc.descriptionReis, C., Ruivo, P., Oliveira, T., & Faroleiro, P. (2019). Unlocking machine learning business value. In Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao 2019: Capsi 2019 (Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao).
dc.description.abstractMachine learning (ML) stands out as one of the most successful advanced analytics for dealing with big data. However, as a quite recent tool amongst organizations, there are some doubts hanging over this technology. Through an original lens, we expect to substantiate how organizations can sustained ML business value. We developed a conceptual model, grounded on the resource-based view, that aims to validate key antecedents of ML business value. Through a positivist approach, we imply ML use, big data analytics maturity, top management support and process complexity enhance ML business value, in terms of firm performance. Due to the pioneering nature of our research model, we expect to support our data analysis with the partial least squares. To the authors’ best knowledge, this represents the first study aiming such findings on the ML discipline.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent280582
dc.identifier.otherPURE: 18762943
dc.identifier.otherPURE UUID: 498d8002-dbfe-4ad2-8eca-fded87f03973
dc.identifier.otherScopus: 85086627013
dc.identifier.otherORCID: /0000-0001-6523-0809/work/76258580
dc.identifier.urihttp://hdl.handle.net/10362/146111
dc.identifier.urlhttps://www.scopus.com/pages/publications/85086627013
dc.identifier.urlhttps://www.novaims.unl.pt/uploads/imagens_ficheiros/CAPSI-ata-da-conferencia/ebook-capsi-2019.pdf
dc.language.isoeng
dc.peerreviewedyes
dc.subjectBusiness value
dc.subjectMachine learning
dc.subjectResource-based view
dc.subjectInformation Systems and Management
dc.subjectManagement Information Systems
dc.subjectManagement of Technology and Innovation
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleUnlocking machine learning business valueen
dc.typeconference object
degois.publication.titleAtas da Conferencia da Associacao Portuguesa de Sistemas de Informacao 2019
degois.publication.title19.a Conferencia da Associacao Portuguesa de Sistemas de Informacao, CAPSI 2019 - 19th Conference of the Portuguese Association for Information Systems, CAPSI 2019
dspace.entity.typePublication
rcaap.rightsopenAccess

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Unlocking_Machine_Learning_Business_Value.pdf
Tamanho:
274.01 KB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

NIMS: MagIC - Documentos de conferências internacionais