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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) 
Gonçalves, R., Lopes da Costa, R., Pereira, L., Dias, Á., Vinhas da Silva, R. & Teixeira, N. (2023). Agile applications of artificial intelligence to apparel industry. International Journal of Agile Systems and Management. 16 (4), 429-457
Exportar Referência (IEEE) 
R. A. Gonçalves et al.,  "Agile applications of artificial intelligence to apparel industry", in Int. Journal of Agile Systems and Management, vol. 16, no. 4, pp. 429-457, 2023
Exportar BibTeX 
@article{gonçalves2023_1715156598360,
	author = "Gonçalves, R. and Lopes da Costa, R. and Pereira, L. and Dias, Á. and Vinhas da Silva, R. and Teixeira, N.",
	title = "Agile applications of artificial intelligence to apparel industry",
	journal = "International Journal of Agile Systems and Management",
	year = "2023",
	volume = "16",
	number = "4",
	doi = "10.1504/IJASM.2023.134012",
	pages = "429-457",
	url = "https://www.inderscienceonline.com/doi/10.1504/IJASM.2023.134012"
}
Exportar RIS 
TY  - JOUR
TI  - Agile applications of artificial intelligence to apparel industry
T2  - International Journal of Agile Systems and Management
VL  - 16
IS  - 4
AU  - Gonçalves, R.
AU  - Lopes da Costa, R.
AU  - Pereira, L.
AU  - Dias, Á.
AU  - Vinhas da Silva, R.
AU  - Teixeira, N.
PY  - 2023
SP  - 429-457
SN  - 1741-9174
DO  - 10.1504/IJASM.2023.134012
UR  - https://www.inderscienceonline.com/doi/10.1504/IJASM.2023.134012
AB  - Artificial intelligence systems are increasing its importance in the field of creating value for companies who seek to gain competitive advantage. This is especially true for the online shopping apparel world, in the case of virtual try-on systems. Following this line of thought the theme consumers acceptance of artificial intelligence virtual try-on systems when shopping online apparel came up as a research problem. In this sense this investigation intendeds to study the acceptance by consumers of the virtual try-on artificial systems when buying apparel online according to specific variables previously defined. To assess this, a quantitative approach was used, based on the structural equations model, the partial least squares technique. This research allowed the creation of a new model based on technology acceptance model by including new variables and revealed that the influence of predictive variables on the dependent variable (ATU) is not the same.
ER  -