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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. (2025). Benefit versus risk: A behavioral model for using robo-advisors. Service Industries Journal. 45 (1), 132-159
Exportar Referência (IEEE) 
D. Belanche et al.,  "Benefit versus risk: A behavioral model for using robo-advisors", in Service Industries Journal, vol. 45, no. 1, pp. 132-159, 2025
Exportar BibTeX 
@article{belanche2025_1764936841322,
	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 = "2025",
	volume = "45",
	number = "1",
	doi = "10.1080/02642069.2023.2176485",
	pages = "132-159",
	url = "https://www.tandfonline.com/journals/fsij20"
}
Exportar RIS 
TY  - JOUR
TI  - Benefit versus risk: A behavioral model for using robo-advisors
T2  - Service Industries Journal
VL  - 45
IS  - 1
AU  - Belanche, D.
AU  - Casaló, L. V.
AU  - Flavián, M.
AU  - Loureiro, S. M. C.
PY  - 2025
SP  - 132-159
SN  - 0264-2069
DO  - 10.1080/02642069.2023.2176485
UR  - https://www.tandfonline.com/journals/fsij20
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  -