Abstract
Purpose
Voice assistant technology represents one of the most radical artificial intelligence innovations. Drawing on the processing fluency theory and consumer learning literature, this study aims to explore how consumer acceptance of new products is influenced by voice assistant function (VAF), along with the impacts of role clarity and learning modality.
Design/methodology/approach
Four between-subjects experimental studies were conducted. Study 1 tested the main effect of VAF on consumer acceptance. Study 2 included role clarity as a mediator between VAF and consumer acceptance. Study 3 examined the moderation effect of learning modality and contrasted the effectiveness of experiential and verbal learning in helping increase consumer acceptance. Study 4, as a post hoc study, tested serial mediations to validate whether processing fluency was indeed the mechanism explaining the indirect relationship between VAF and consumer acceptance via role clarity.
Findings
The negative impact of VAF on consumer acceptance was demonstrated in all four studies. Studies 2 and 3 showed VAF decreased role clarity which further influenced consumer acceptance. Moreover, Study 3 evidenced that experiential learning was more effective than verbal learning in increasing consumer acceptance of voice-assisted products via role clarity. Study 4 demonstrated that VAF decreased role clarity, which in turn decreased processing fluency, leading to lower consumer acceptance.
Originality/value
This research views the usage of voice-assisted products as a coproduction process between consumers and the VAF. Accordingly, findings provide novel insights into processing fluency of tasks assisted by VAF through the lens of role clarity and learning modality, which enriches the understanding of potential barriers and opportunities for consumers to accept voice-assisted products.
Subject
Management of Technology and Innovation,Marketing
Reference84 articles.
1. Hey, Alexa! What attributes of skills affect firm value?;Journal of the Academy of Marketing Science,2022
2. Enablers and inhibitors of AI-powered voice assistants: a dual-factor approach by integrating the status quo bias and technology acceptance model;Information Systems Frontiers,2021
3. Bastard, Y. (2020), “All the smart home products you need”, available at: www.nytimes.com/2020/09/18/smarter-living/all-the-smart-home-products-you-need.html (accessed 27 March 2023).
4. Preference theory: an affect-based approach to recurrent decision making,2014
5. The effects of routine strength on adaptation and information search in recurrent decision making;Organizational Behavior and Human Decision Processes,2001
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