Why would consumers risk taking purchase recommendations from voice assistants?
研究识别了影响消费者接受语音助手购买推荐的不同风险类型，发现财务、心理、社会、性能、时间损失和整体感知风险通过信任和感知价值显著影响接受意愿，对营销管理者有参考价值。
Purpose This study aims to identify and explore different risk typologies associated with consumer acceptance of purchase recommendations from voice assistants (VAs). Design/methodology/approach Drawing on components of perceived risk, consumer trust theory, and consumption value theory, a research model was proposed and tested using structural equation modeling (SEM) with data from 482 voice shoppers. Findings The results reveal that, unlike risks associated with physical harm, privacy breaches, and security threats, a variety of other concerns—including financial, psychological, social, performance-related risks, time loss, and the overall perceived risks—significantly influence consumers' willingness to accept VAs purchase recommendations. The effect is mediated by trust in VA purchase recommendations and their perceived value. Different types of risk affect various consumption values, with functional value being the most influential. The model explains 58.6% of the variance in purchase recommendation acceptance and significantly elucidates the variance in all consumption values. Originality/value This study contributes crucial knowledge to understanding consumer decision-making processes as they increasingly leverage AI-powered voice-based dialogue platforms for online purchasing. It emphasizes recognizing diverse risk typologies associated with VA purchase recommendations and their impact on consumer purchase behavior. The findings offer insights for marketing managers seeking to navigate the challenges posed by consumers' perceived risks while leveraging VAs as an integral component of modern shopping environments.