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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Carvalho, C., Lopes da Costa, R., Gonçalves, R., Dias, Á. & Pereira, L. (2026). Operational risk management: Artificial intelligence's contributions to business excellence. International Journal of Business Excellence, 39(4), 534?557. https://doi.org/10.1504/IJBEX.2022.10052167
Exportar Referência (IEEE) 
M. C. Carvalho et al.,  "Operational risk management: Artificial intelligence's contributions to business excellence", in Int. Journal of Business Excellence, vol. 39, no. 4, pp. 534-557, 2026
Exportar BibTeX 
@article{carvalho2026_1792237442791,
	author = "Carvalho, C. and Lopes da Costa, R. and Gonçalves, R. and Dias, Á. and Pereira, L.",
	title = "Operational risk management: Artificial intelligence's contributions to business excellence",
	journal = "International Journal of Business Excellence",
	year = "2026",
	volume = "39",
	number = "4",
	doi = "10.1504/IJBEX.2022.10052167",
	pages = "534-557",
	url = "https://www.inderscience.com/jhome.php?jcode=ijbex"
}
Exportar RIS 
TY  - JOUR
TI  - Operational risk management: Artificial intelligence's contributions to business excellence
T2  - International Journal of Business Excellence
VL  - 39
IS  - 4
AU  - Carvalho, C.
AU  - Lopes da Costa, R.
AU  - Gonçalves, R.
AU  - Dias, Á.
AU  - Pereira, L.
PY  - 2026
SP  - 534-557
SN  - 1756-0047
DO  - 10.1504/IJBEX.2022.10052167
UR  - https://www.inderscience.com/jhome.php?jcode=ijbex
AB  - Operational risk is a growing field because of the recent decades and numerous economic crises, and businesses are gradually realising that the more they invest in it, the less money they lose. The most important topic of the century is artificial intelligence, which spans all possible fields and offers quick, less expensive, and more accurate ways to complete tasks. This paper details the developments in the application of artificial intelligence technology for operational risk management. The qualitative study showed a lack of investment and a lack of information about advancements in AI technology that may be used for OpRisk controls. This automation is hampered by issues including a lack of human resource capabilities and giving other industries priority. Given the present AI solutions that enable the maturation of OpRisk controls and, consequently, limit losses from them, businesses must invest in the OpRisk departments.
ER  -