Journal
PSYCHOLOGY & MARKETING
Volume 40, Issue 2, Pages 328-346Publisher
WILEY
DOI: 10.1002/mar.21765
Keywords
artificial intelligence; consumer behavior; e-WOM; online consumer review; recommendations; virtual assistant; voice assistant
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The present study compares the influence of text-based recommendations, traditionally known as online consumer reviews, and voice-based recommendations provided by voice-driven virtual assistants on consumer behaviors. The research model investigates the impact of voice versus text modality on consumers' perception of credibility and usefulness, as well as their behavioral intentions and actual behaviors, based on media richness theory. Two studies using experimental designs and statistical analysis were conducted, and the core finding suggests that voice-based recommendations are more effective in altering consumer behaviors compared to online consumer reviews.
The present study compares the influence of text-based recommendations; traditionally known as online consumer reviews, and the influence of voice-based recommendations provided by voice-driven virtual assistants on consumer behaviors. Based on media richness theory, the research model investigates how voice versus text modality influences consumers' perceptions of credibility and usefulness, as well as their behavioral intentions and actual behaviors. In addition, the study analyses if these relationships vary based on the type of product and compares the influence of masculine and feminine voices. Two studies were conducted using between-subjects experimental designs, partial least squares-structural equation modeling, and logistic regression. The core finding is that voice-based recommendations are more effective than online consumer reviews in altering consumer behaviors. In addition, the first study showed that the influence of recommendations on behavioral intentions is mediated by consumers' perceptions of their credibility and usefulness. The second study confirmed, in a realistic setting, that voice-based recommendations affect consumer choices to a greater extent. Recommendations for search products and provided by males are also found to be more effective. These results contribute to the voice assistant and e-WOM literature by highlighting the effectiveness of voice-based recommendations in predicting consumer behaviors, confirming that credibility and usefulness are key factors that determine the influence of recommendations, and showing that recommendations are more effective when they focus on search products.
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