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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) 
Pereira, L., Tomás, D., Dias, Á., Lopes da Costa, R. & Gonçalves, R. (2023). How artificial intelligence can improve digital marketing. International Journal of Business Information Systems. 44 (4), 581-624
Exportar Referência (IEEE) 
L. L. Pereira et al.,  "How artificial intelligence can improve digital marketing", in Int. Journal of Business Information Systems, vol. 44, no. 4, pp. 581-624, 2023
Exportar BibTeX 
@article{pereira2023_1732208119838,
	author = "Pereira, L. and Tomás, D. and Dias, Á. and Lopes da Costa, R. and Gonçalves, R.",
	title = "How artificial intelligence can improve digital marketing",
	journal = "International Journal of Business Information Systems",
	year = "2023",
	volume = "44",
	number = "4",
	doi = "10.1504/IJBIS.2023.135351",
	pages = "581-624",
	url = "https://www.inderscience.com/info/inarticle.php?artid=135351"
}
Exportar RIS 
TY  - JOUR
TI  - How artificial intelligence can improve digital marketing
T2  - International Journal of Business Information Systems
VL  - 44
IS  - 4
AU  - Pereira, L.
AU  - Tomás, D.
AU  - Dias, Á.
AU  - Lopes da Costa, R.
AU  - Gonçalves, R.
PY  - 2023
SP  - 581-624
SN  - 1746-0972
DO  - 10.1504/IJBIS.2023.135351
UR  - https://www.inderscience.com/info/inarticle.php?artid=135351
AB  - Recent technological advances have allowed the growth of digital marketing, creating the challenge of big data. AI emerges to deal with this paradigm and marketing becomes a natural beneficiary, as it takes advantage of data in its processes. This research aims to evaluate the potential impact of AI on digital marketing. This knowledge could accelerate the adoption of AI technologies, revolutionising the area. The following techniques were developed: survey for digital marketing professionals to identify their needs; research of AI solutions; coverage and match analysis between needs and solutions. This research establishes which digital marketing aspects need further development and recommends response solutions: Bloomreach Experience Cloud for customer experience; Alli AI and Market Brew for SEO; concured for content marketing; Automizy for e-mail marketing; Cortex for social media marketing; Adobe Advertising Cloud for online advertising; Conversica and drift automation for communication; and SAS VDMML and SAS VF for data analysis.
ER  -