<b>Unveiling Mexican Perspectives on AI Meets Luxury Marketing in Mexico</b>
This study addresses how Artificial Intelligence (AI) redefines luxury marketing by integrating Means-Ends Chain (MEC) theory with Zaltman Metaphor Elicitation Technique (ZMET)-driven insights. To the best of our knowledge, this study pioneers the identification of specific AI attributes (e.g., Informativeness, Innovation) that drive benefits/means (e.g., Facility, Utility, Safety, Satisfaction, Anxiety) to contribute to the value/ends (e.g., Happiness, Empowerment, Lifestyle). It embeds triangulation to address critiques of ZMET’s interpretive subjectivity by grounding metaphors in MEC’s structured hierarchy. We provide a structured understanding of consumer decision-making pathways regarding AI in luxury marketing by Hierarchical Value Maps (HVMs). Further, our follow-up study aims to examine gender differences in consumer value mechanisms by leveraging ZMET to reveal subconscious cognitive structures.
Authors
- Xin Song (ORCID: https://orcid.org/0009-0009-7284-0571)
- Julieta Mercado González
- Luz Cecilia Revilla
- Nicole Goldberg Dalma
Institutions
- Universidad Anáhuac (MX)
Publication Details
- Journal
- Journal of Applied Business & Behavioral Sciences
- Published
- 2025-05-09
- DOI
- https://doi.org/10.63522/jabbs.101001
- Citations
- 8
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 33.61