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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) 
Belanche, D., Casaló, L. V., Flavián, M. & Loureiro, S. M. C. (N/A). Benefit versus risk: A behavioral model for using robo-advisors. Service Industries Journal. N/A
Exportar Referência (IEEE) 
D. Belanche et al.,  "Benefit versus risk: A behavioral model for using robo-advisors", in Service Industries Journal, vol. N/A, N/A
Exportar BibTeX 
@article{belancheN/A_1716148356597,
	author = "Belanche, D. and Casaló, L. V. and Flavián, M. and Loureiro, S. M. C.",
	title = "Benefit versus risk: A behavioral model for using robo-advisors",
	journal = "Service Industries Journal",
	year = "N/A",
	volume = "N/A",
	number = "",
	doi = "10.1080/02642069.2023.2176485",
	url = "https://www.tandfonline.com/doi/full/10.1080/02642069.2023.2176485"
}
Exportar RIS 
TY  - JOUR
TI  - Benefit versus risk: A behavioral model for using robo-advisors
T2  - Service Industries Journal
VL  - N/A
AU  - Belanche, D.
AU  - Casaló, L. V.
AU  - Flavián, M.
AU  - Loureiro, S. M. C.
PY  - N/A
SN  - 0264-2069
DO  - 10.1080/02642069.2023.2176485
UR  - https://www.tandfonline.com/doi/full/10.1080/02642069.2023.2176485
AB  - This research aims to propose and analyze a novel behavioral model for using robo-advisors grounded on stimulus–organism–response and decision theory. Data (n = 596) were collected from a panel of US participants. The findings contribute to the financial services arena by demonstrating the relevance of customers’ perceptions of robo-advisors’ benefits and risks, particularly fear of losing money and wasting time. Greater or lesser ease in learning to use the robo-advisor and the perception of safety are the stimuli for customers to cognitively assess the balance between the risks and benefits of using the robo-advisor. Younger customers are more likely than older customers to recommend the robo-advisor to others, and male users tend to have more confidence than female users in their use of the service. Thus, robo-advisors need to learn how to adapt to different customer profiles to customize the service and to increase the perception of security and ease of use. 
ER  -