The influence of brand credibility and brand loyalty on customer satisfaction and continued use intention in new voice assistance services based on AI
Luis Matosas-López ()
Additional contact information
Luis Matosas-López: Rey Juan Carlos University
Journal of Marketing Analytics, 2025, vol. 13, issue 1, No 13, 180-201
Abstract:
Abstract The use of Voice Assistance Systems based on Artificial Intelligence (VASAI) -such as Siri, Alexa, and many others- is becoming more and more popular; however, studies on this topic are still scarce. One of the topics that has only been tangentially addressed is the impact of brand-related issues (such as brand credibility and brand loyalty) on customer satisfaction and continued use intention of VASAI. The present study addresses this topic by postulating a structural model for its evaluation. The author's structural model also examines the influence of system quality constructs (system stability, system agility, and anthropomorphism), and information quality constructs (information exhaustiveness or information up-to-datedness) as independent variables. The researcher uses a questionnaire, based on previous literature, which is administered to a sample of 651 participants. The proposed structural model is evaluated by applying PLS-SEM analysis. The results show that brand credibility influences the constructs of customer satisfaction (β = 0.289/p-value
Keywords: Brand credibility; Brand loyalty; Customer satisfaction; Use intention; AI; Alexa; Moderating effect (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41270-023-00278-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:jmarka:v:13:y:2025:i:1:d:10.1057_s41270-023-00278-8
Ordering information: This journal article can be ordered from
http://www.springer. ... gement/journal/41270
DOI: 10.1057/s41270-023-00278-8
Access Statistics for this article
Journal of Marketing Analytics is currently edited by Maria Petrescu and Anjala Krishnen
More articles in Journal of Marketing Analytics from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().