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Exploring the determinants of continued use of virtual voice assistants: a UTAUT2 and privacy calculus approach

Francisco Liébana‐Cabanillas et al.

Academia Revista Latinoamericana de Administracion2025https://doi.org/10.1108/arla-05-2024-0090article
AJG 1
Weight
0.48

What the paper says

Purpose This study aims to understand the factors influencing the intention to use virtual voice assistants (VVAs) by proposing a theoretical framework based on a modified UTAUT2 model and the theory of privacy calculus. Design/methodology/approach An online questionnaire was administered to 232 participants to achieve the study objectives. Findings The results indicate that hedonic motivation is a stronger predictor of continued use intention compared to price value. Additionally, the moderating effects of perceived privacy risk are validated. Originality/value This research contributes to a comprehensive understanding of VVA adoption and presents new business opportunities for companies leveraging this technology. This study contributes to a more holistic understanding of the adoption of VVAs and provides new business opportunities that companies can exploit using this technology.

5 citations

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https://doi.org/https://doi.org/10.1108/arla-05-2024-0090

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@article{francisco2025,
  title        = {{Exploring the determinants of continued use of virtual voice assistants: a UTAUT2 and privacy calculus approach}},
  author       = {Francisco Liébana‐Cabanillas et al.},
  journal      = {Academia Revista Latinoamericana de Administracion},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/arla-05-2024-0090},
}

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Evidence weight

0.48

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.