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Article
The adaptation of anthropomorphism and archetypes for marketing artificial intelligence
Journal of Consumer Marketing
  • Gulnara Z. Karimova, American University in the Emirates
  • Valerie Priscilla Goby, Zayed University
Document Type
Article
Publication Date
1-1-2020
Abstract

© 2020, Emerald Publishing Limited. Purpose: This paper aims to present an exploration of possible associations between the Jungian archetypes frequently used in marketing and three well-known products based on artificial intelligence (AI), namely, Sophia, Alexa and Articoolo. Design/methodology/approach: The study conducted emotionalist interviews to gather thick data from 11 participants on how they conceptualize these AI-based products. In the absence of any existing relevant hypotheses, this paper attempts to build theory using a case study approach and qualitative analysis of interview narratives. Findings: Despite the human attributes ascribed to these products, participants were principally concerned with their purpose, efficiency and the degree of trust which they felt could be accorded to the product. Anthropomorphism emerged as significant with participants making some associations with common archetypes traditionally exploited in marketing and this suggests a possible means of enhancing consumer trust in AI products. Originality/value: Little research has been conducted on the marketing of AI and this study presents a timely identification of some potentially significant issues. As AI is intended to mimic some aspects of human intelligence, the role of the archetype in creating a personality to enhance trust may prove crucial in securing consumer confidence.

Publisher
Emerald
Keywords
  • Anthropomorphism,
  • Archetype,
  • Artificial intelligence (AI),
  • Marketing,
  • Promotion,
  • The AI archetype
Scopus ID
85097302406
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1108/jcm-04-2020-3785
Citation Information
Gulnara Z. Karimova and Valerie Priscilla Goby. "The adaptation of anthropomorphism and archetypes for marketing artificial intelligence" Journal of Consumer Marketing (2020) ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0736-3761" target="_blank">0736-3761</a>
Available at: http://works.bepress.com/valeriepriscilla-goby/26/