Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/30906
Author(s): | Gonçalves, R. Lopes da Costa, R. Pereira, L. Dias, Á. Vinhas da Silva, R. Teixeira, N. |
Date: | 2023 |
Title: | Agile applications of artificial intelligence to apparel industry |
Journal title: | International Journal of Agile Systems and Management |
Volume: | 16 |
Number: | 4 |
Pages: | 429 - 457 |
Reference: | 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. https://dx.doi.org/10.1504/IJASM.2023.134012 |
ISSN: | 1741-9174 |
DOI (Digital Object Identifier): | 10.1504/IJASM.2023.134012 |
Keywords: | Consumer behaviour Artificial intelligence Agile applications Virtual try-on VTO Technology acceptance model TAM |
Abstract: | 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. |
Peerreviewed: | yes |
Access type: | Embargoed Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Size | Format | |
---|---|---|---|
article_92909.pdf Restricted Access | 515,98 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.