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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Mariana Craveiro & Domingues, L. (2025). Artificial Intelligence on Project Management Performance Domains. In Procedia Computer Science. (pp. 1583-1590).: Elsevier BV.
Export Reference (IEEE) 
M. Craveiro and L. C. Miranda,  "Artificial Intelligence on Project Management Performance Domains", in Procedia Computer Science, Elsevier BV, 2025, vol. 256, pp. 1583-1590
Export BibTeX 
@inproceedings{craveiro2025_1787632594745,
	author = "Mariana Craveiro and Domingues, L.",
	title = "Artificial Intelligence on Project Management Performance Domains",
	booktitle = "Procedia Computer Science",
	year = "2025",
	editor = "",
	volume = "256",
	number = "",
	series = "",
	doi = "10.1016/j.procs.2025.02.294",
	pages = "1583-1590",
	publisher = "Elsevier BV",
	address = "",
	organization = "",
	url = "https://www.sciencedirect.com/science/article/pii/S1877050925006623"
}
Export RIS 
TY  - CPAPER
TI  - Artificial Intelligence on Project Management Performance Domains
T2  - Procedia Computer Science
VL  - 256
AU  - Mariana Craveiro
AU  - Domingues, L.
PY  - 2025
SP  - 1583-1590
SN  - 1877-0509
DO  - 10.1016/j.procs.2025.02.294
UR  - https://www.sciencedirect.com/science/article/pii/S1877050925006623
AB  - 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.
ER  -