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AI-Generated Influencer Advertising on Social Media and Consumer Engagement and Buying Behavior
Jönköping University, Jönköping International Business School.
Jönköping University, Jönköping International Business School.
2026 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The fast integration of artificial intelligence into social media marketing has triggered the emergence of AI-generated influencers. Despite the growing commercial acceptance of this advertising modality, empirical understanding of how consumers react when the artificial nature of such influencers is explicitly disclosed remains limited, particularly in emerging market contexts. This qualitative study addresses that gap by exploring how young Ghanaian consumers form trust in disclosed AI-generated influencer advertising on social media, and the implications of such advertising for consumer attitudes and purchase intentions. Anchored in an interpretivist paradigm, the study employed semi-structured, in-depth interviews with a purposive sample of 20 young social media users in Ghana.

Findings reveal that trust formation in disclosed AI influencer advertising is governed by a hierarchy of conditions: content quality and informational relevance, upfront transparency of AI status, AI literacy as a non-linear moderating variable, and prior brand relationship as the strongest structural anchor. A theoretically significant attitude–purchase intention paradox was documented, wherein negative general attitudes toward AI advertising coexisted with conditional purchase willingness when prior product interest was high—directly challenging the linear pathway assumed by the Theory of Planned Behaviour (Ajzen, 1991). Ghanaian cultural dynamics functioned as constitutive boundary conditions that amplified trust penalties beyond levels predicted by Western frameworks. The study contributes contextually grounded theoretical extensions to Parasocial Interaction (PSI) Theory, the Source Credibility Model, and the Technology Acceptance Model, while offering actionable guidance for marketing practitioners, regulators, and future researchers operating in Sub-Saharan African digital markets.

Place, publisher, year, edition, pages
2026.
Keywords [en]
AI-Generated Influencer Advertising, Trust Formation, Social Media Marketing, Consumer Attitudes, Purchase Intentions, Parasocial Interaction, Source Credibility, Technology Acceptance Model (TAM), Ghana, Digital Business
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-73101OAI: oai:DiVA.org:hj-73101DiVA, id: diva2:2080638
Subject / course
JIBS, Business Administration
Supervisors
Examiners
Available from: 2026-06-29 Created: 2026-06-26 Last updated: 2026-06-29Bibliographically approved

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Shafin & Tetteh (final)(835 kB)99 downloads
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eef286ff85fd10dfe13636a701217e1cf7f0f41a2b9150170a106e03beb3c9e513a331590991e0fecefee199d520521e8ba1af1adfe87b08be3ce95b3bdd6872
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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