Artificial Intelligence Enabled Project Management: A Systematic Literature Review
dc.contributor.author | Taboada Puente, Ianire | |
dc.contributor.author | Daneshpajouh, Abouzar | |
dc.contributor.author | Toledo Gandarias, Nerea | |
dc.contributor.author | de Vass, Tharaka | |
dc.date.accessioned | 2023-04-27T16:15:28Z | |
dc.date.available | 2023-04-27T16:15:28Z | |
dc.date.issued | 2023-04-17 | |
dc.identifier.citation | Applied Sciences 13(8) : (2023) // Article ID 5014 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10810/60963 | |
dc.description.abstract | In 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.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | artificial intelligence | es_ES |
dc.subject | project management | es_ES |
dc.subject | project performance domains | es_ES |
dc.subject | Industry 5.0 | es_ES |
dc.title | Artificial Intelligence Enabled Project Management: A Systematic Literature Review | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2023-04-27T13:51:29Z | |
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.publisherversion | https://www.mdpi.com/2076-3417/13/8/5014 | es_ES |
dc.identifier.doi | 10.3390/app13085014 | |
dc.departamentoes | Expresión gráfica y proyectos de ingeniería | |
dc.departamentoeu | Adierazpen grafikoa eta ingeniaritzako proiektuak |
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Except where otherwise noted, this item's license is described as © 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/).