Abstract: Purpose: This study investigates how the substitution of human advertising models with AI-generated imagery affects consumer schema incongruence, source credibility perceptions, and purchase intention across luxury and fast fashion advertising contexts, and quantifies the economic cost of that substitution in willingness-to-pay terms.
Design/Methodology/Approach: Three studies were conducted. Study 1 used a 2 (model type: Human vs. AI-Generated) × 2 (fashion...
Keywords: AI-generated advertising models; schema incongruence; willingness to pay; consumer AI skepticism; uncanny valley; source credibility; conjoint analysis; support vector machine
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