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dc.contributor.authorTaboada Puente, Ianire ORCID
dc.contributor.authorDaneshpajouh, Abouzar
dc.contributor.authorToledo Gandarias, Nerea ORCID
dc.contributor.authorde Vass, Tharaka
dc.date.accessioned2023-04-27T16:15:28Z
dc.date.available2023-04-27T16:15:28Z
dc.date.issued2023-04-17
dc.identifier.citationApplied Sciences 13(8) : (2023) // Article ID 5014es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10810/60963
dc.description.abstractIn the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectartificial intelligencees_ES
dc.subjectproject managementes_ES
dc.subjectproject performance domainses_ES
dc.subjectIndustry 5.0es_ES
dc.titleArtificial Intelligence Enabled Project Management: A Systematic Literature Reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-04-27T13:51:29Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/13/8/5014es_ES
dc.identifier.doi10.3390/app13085014
dc.departamentoesExpresión gráfica y proyectos de ingeniería
dc.departamentoeuAdierazpen grafikoa eta ingeniaritzako proiektuak


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).