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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) 
Lopes da Costa, R., Gonçalves, R., Fachada, B., Pereira, L. & Dias, Á. (2021). Intelligent systems and artificial intelligence to enhance customer segmentation. International Journal of Business Information Systems.
Exportar Referência (IEEE) 
R. J. Costa et al.,  "Intelligent systems and artificial intelligence to enhance customer segmentation", in Int. Journal of Business Information Systems, 2021
Exportar BibTeX 
@article{costa2021_1732206609817,
	author = "Lopes da Costa, R. and Gonçalves, R. and Fachada, B. and Pereira, L. and Dias, Á.",
	title = "Intelligent systems and artificial intelligence to enhance customer segmentation",
	journal = "International Journal of Business Information Systems",
	year = "2021",
	volume = "",
	number = "",
	doi = "10.1504/IJBIS.2021.10043346",
	url = "https://www.inderscience.com/jhome.php?jcode=ijbis"
}
Exportar RIS 
TY  - JOUR
TI  - Intelligent systems and artificial intelligence to enhance customer segmentation
T2  - International Journal of Business Information Systems
AU  - Lopes da Costa, R.
AU  - Gonçalves, R.
AU  - Fachada, B.
AU  - Pereira, L.
AU  - Dias, Á.
PY  - 2021
SN  - 1746-0972
DO  - 10.1504/IJBIS.2021.10043346
UR  - https://www.inderscience.com/jhome.php?jcode=ijbis
AB  - This study investigates how artificial intelligence, its characteristics, features and limitations enhance customer segmentation. All these aspects were analysed through literature review, and further developed by two methodologies: online questionnaire and interviews. The online questionnaire concluded that, while artificial intelligence’s characteristics and impacts positively influence its implementation in customer segmentation, this type of technology still has limitations that could constitute an obstacle. Regarding the interviews, the main insight was that artificial intelligence is still only perceived as a support in decision making, thus, dependent on humans. However, many employees still look at these technologies as a threat to their workplace, which can lead to resistance in their implementation and incur on unnecessary costs for organisations.
ER  -