Artificial intelligence on project management performance domains
| dc.contributor.author | Craveiro, M. | |
| dc.contributor.author | Domingues, L. | |
| dc.contributor.editor | Cunha, Maria Manuela Cruz | |
| dc.contributor.editor | Domingos, Dulce | |
| dc.contributor.editor | Peres, Emanuel | |
| dc.contributor.editor | Rijo, Rui | |
| dc.date.accessioned | 2026-09-01T13:52:31Z | |
| dc.date.issued | 2025 | |
| dc.date.updated | 2026-09-01T14:51:54Z | |
| dc.description.abstract | This study ambitions to investigate the influence of artificial intelligence tools on project management performance domains, aiming to investigate if it is possible to make any association between a specific set of artificial intelligence tools and certain project management performance domains, as well as verifying what are the benefits and challenges of said associations. This study contributes to the Artificial Intelligence area, along with the Project Management area by providing purposeful insights on their alliance, and additionally, addresses a critical gap in the literature and provides valuable insights into the Project Management Performance Domains, contributing to advancements in the field. | eng |
| dc.event.date | 2024 | |
| dc.event.location | Madeira | eng |
| dc.event.title | CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies | |
| dc.event.type | Conferência | pt |
| dc.identifier.citation | Craveiro, M. & Domingues, L. (2025). Artificial intelligence on project management performance domains. In M. M. C. Cunha, D. Domingos, E. Peres, & R. Rijo (Eds.), Procedia Computer Science. (pp. 1583-1590). Elsevier. https://doi.org/10.1016/j.procs.2025.02.294 | |
| dc.identifier.doi | 10.1016/j.procs.2025.02.294 | |
| dc.identifier.issn | 1877-0509 | |
| dc.identifier.uri | https://hdl.handle.net/10071/38378 | |
| dc.language.iso | eng | |
| dc.pagination | 1583 - 1590 | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation | UIDB/04466/2020 | |
| dc.relation | UIDP/04466/2020 | |
| dc.relation.ispartof | Procedia Computer Science | |
| dc.rights | openAccess | |
| dc.subject | AI | eng |
| dc.subject | AI solutions | eng |
| dc.subject | AI strategies | eng |
| dc.subject | AI techniques | eng |
| dc.subject | AI tools | eng |
| dc.subject | Artificial intelligence | eng |
| dc.subject | Project management | eng |
| dc.subject.fos | Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | por |
| dc.title | Artificial intelligence on project management performance domains | eng |
| dc.type | conferenceObject | |
| dc.volume | 256 | |
| iscte.alternateIdentifiers.scopus | 2-s2.0-105001924656 | |
| iscte.alternateIdentifiers.wos | RC:144728724_S24 | |
| iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-115224 | |
| iscte.subject.ods | Trabalho digno e crescimento económico | por |
| iscte.subject.ods | Indústria, inovação e infraestruturas | por |
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