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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.

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