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Purpose

This study investigates how image source (artificial intelligence [AI] versus real image) and creativity levels affect consumers' purchase intentions toward eco-products (ecological products), and explores the underlying mechanisms through which these effects operate.

Design/methodology/approach

Drawing on the Elaboration Likelihood Model (ELM), this study conducted three controlled experiments using professionally designed visual stimuli for eco-products. Study 1 tested the main effect of the image source and the mediating role of perceived naturalness. Study 2 examined the effect of high creativity on the relationship between image type and eco-purchase intentions and the mediating role of perceived novelty. Study 3 replicated the findings using a different eco-product category to verify the robustness and generalizability of the results.

Findings

The results indicate that the effect of image type on eco-purchase intentions varies depending on creativity levels. Real images elicited higher purchase intentions than AI-generated images under low-creativity conditions; however, this preference is not significant in high-creativity conditions. Furthermore, the mediation analysis confirms that perceived naturalness and novelty play distinct roles depending on the creative context.

Practical implications

The findings reveal a “creativity compensation” mechanism. Although AI-generated advertisements have inherent disadvantages regarding the perceived naturalness of environmental marketing, they can effectively promote eco-products when the creative quality and visual novelty of the AI-generated images are high.

Originality/value

This study contributes to the emerging discourse on AI in sustainable consumption by clarifying when and why AI-generated images can be effective in eco-product advertising. It identifies creativity level as a key boundary condition and advances the ELM-based explanation of how consumers respond to AI-generated versus real images across different creative contexts. These findings offer strategic guidance for brands seeking to leverage generative AI more effectively and responsibly in green marketing.

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