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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) 
Rodrigues, A., Ferreira, F., Teixeira, F. & Zopounidis, C. (2022). Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework. Research in International Business and Finance. 60
Exportar Referência (IEEE) 
A. R. Rodrigues et al.,  "Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework", in Research in Int. Business and Finance, vol. 60, 2022
Exportar BibTeX 
@article{rodrigues2022_1731867492210,
	author = "Rodrigues, A. and Ferreira, F. and Teixeira, F. and Zopounidis, C.",
	title = "Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework",
	journal = "Research in International Business and Finance",
	year = "2022",
	volume = "60",
	number = "",
	doi = "10.1016/j.ribaf.2022.101616",
	url = "https://www.sciencedirect.com/journal/research-in-international-business-and-finance"
}
Exportar RIS 
TY  - JOUR
TI  - Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework
T2  - Research in International Business and Finance
VL  - 60
AU  - Rodrigues, A.
AU  - Ferreira, F.
AU  - Teixeira, F.
AU  - Zopounidis, C.
PY  - 2022
SN  - 0275-5319
DO  - 10.1016/j.ribaf.2022.101616
UR  - https://www.sciencedirect.com/journal/research-in-international-business-and-finance
AB  - Traditional banking institutions are currently under great pressure from their stakeholders to adapt to new technologies. However, due to this sector’s inherent nature, data security cannot be jeopardized. Users must place great trust in their bank branches—a necessary feature of relationships between banking institutions and their clients. Banks’ reputation also directly affects their success, ability to attract new customers, and retention of existing ones. These issues mean that making decisions regarding how to deal with the challenges of incorporating artificial intelligence (AI), digital transformation and cybersecurity into the banking sector is quite complex. This study sought to develop a realistic decision-support model by combining cognitive mapping and the decision-making trial and evaluation laboratory (DEMATEL) method in order to address this topic. Group sessions with an expert panel were conducted to apply the methodological procedures, thereby allowing realism to be incorporated into the final results. 
ER  -