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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., Pereira, L., Dias, Á. & Gonçalves, R. (2023). Predicting market acceptance of autonomous vehicles. International Journal of Business Innovation and Research. 31 (1), 1-19
Exportar Referência (IEEE) 
R. J. Costa et al.,  "Predicting market acceptance of autonomous vehicles", in Int. Journal of Business Innovation and Research, vol. 31, no. 1, pp. 1-19, 2023
Exportar BibTeX 
@article{costa2023_1734977976819,
	author = "Lopes da Costa, R. and Pereira, L. and Dias, Á. and Gonçalves, R.",
	title = "Predicting market acceptance of autonomous vehicles",
	journal = "International Journal of Business Innovation and Research",
	year = "2023",
	volume = "31",
	number = "1",
	doi = "10.1504/IJBIR.2023.130863",
	pages = "1-19",
	url = "https://www.inderscienceonline.com/doi/abs/10.1504/IJBIR.2023.130863"
}
Exportar RIS 
TY  - JOUR
TI  - Predicting market acceptance of autonomous vehicles
T2  - International Journal of Business Innovation and Research
VL  - 31
IS  - 1
AU  - Lopes da Costa, R.
AU  - Pereira, L.
AU  - Dias, Á.
AU  - Gonçalves, R.
PY  - 2023
SP  - 1-19
SN  - 1751-0252
DO  - 10.1504/IJBIR.2023.130863
UR  - https://www.inderscienceonline.com/doi/abs/10.1504/IJBIR.2023.130863
AB  - Nowadays we are facing a digital era submerse in technology. Information technology is embracing every industry, causing significant impacts and leading to considerable adaptations. The distribution industry is no exception. This study aims to collect evidence supporting that distribution channels are still not benefiting from information technologies entire potential. This research proposes to understand and analyse the factors that can influence customer mindset towards technology, either positively or negatively, helping to predict technology acceptance and use more accurately, specifically approaching autonomous vehicles, who promise to revolutionise distribution, particularly in terms of mobility. This research analyses autonomous vehicles growth and predict their impact in a global perspective and objectively in the distribution industry. An online survey was conducted, allowing the collection of most up-to-date information about distribution channels, in terms of efficiency and potentialities and concerns influencing the acceptance and use of this innovative technology. 
ER  -