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Experiments with 1,114 people find substitute AI is a weaker pitch for green-framed goods
Study title: Are AI Recommendations Less Green? The Effects of AI Recommendation Sources and Green Product Attribute Framing on Consumer Responses
- Evidence type
- Controlled or validated comparison
- Sample
- n = 1,114
- Sources
- 1 sourcePeer-reviewed
- Published
- 1 min read
- Truvace record
- TRV-2026-2646cite or check it
Study title: Are AI Recommendations Less Green? The Effects of AI Recommendation Sources and Green Product Attribute Framing on Consumer Responses
Researchers ran four scenario-based online experiments with 1,114 participants in total to test when AI recommendations help promote green products. They compared substitute AI with augmented AI and utility-based with sustainability-based product framing.
Read the study abstract
ABSTRACT Extant research has reported mixed evidence regarding the effectiveness of artificial intelligence (AI) recommendations in promoting green products, leaving it unclear under which conditions such recommendations are more (or less) effective. Drawing on Self‐Determination Theory (SDT), this research addresses this ambiguity by proposing a congruence effect between AI recommendation sources (substitute versus augmented AI) and green product attribute framing (utility‐based versus sustainability‐based). Us…
The problem
In four online experiments with 1,114 participants, substitute AI recommendations were less effective than augmented AI recommendations for sustainability-framed green products, and more effective only for utility-framed ones.
In brief
The recommendation source and the framing worked as a match. Substitute AI recommendations worked better for utility-framed green products, and augmented AI recommendations worked better for sustainability-framed ones.
Consumers' sense of control helped explain the pattern. Attribute-based explanations after the recommendation removed substitute AI's disadvantage under sustainability framing, which the authors say businesses could use to raise the market share of green products.
Main points
- The research used four scenario-based online experiments with 1,114 participants in total.
- The experiments included one product choice task, one preference evaluation, and two studies measuring purchase intention and willingness to pay.
- Substitute AI recommendations were more effective for utility-framed green products.
- Augmented AI recommendations were more effective for sustainability-framed green products.
- Consumers' sense of control mediated the match between AI source and framing.
- Attribute-based post hoc explanations eliminated substitute AI's disadvantage under sustainability framing.
The full story
Earlier research gave mixed evidence on whether AI recommendations promote green products. This study, drawing on Self-Determination Theory, tested whether the answer depends on the AI's role and on how the green product is framed.
Participants completed a product choice task, a preference evaluation, and two studies measuring purchase intention and willingness to pay. Together these covered 1,114 people. Substitute and augmented AI recommendations were compared across utility-based and sustainability-based framings.
The effect ran through consumers' sense of control. Giving attribute-based explanations after the recommendation shifted responses toward sustainability-framed green products when substitute AI made the recommendation.
Sources
1 on file- Journal of Consumer Behaviourdoi:10.1002/cb.70253
Talk it over
Who carries this cost, and what would have to change to prevent it?
Experiments with 1,114 people find substitute AI is a weaker pitch for green-framed goodshttps://truvace.com/item/are-ai-recommendations-less-green-the-effects-of-ai-recommendation-sources-and-g
Who carries this cost, and what would have to change to prevent it?
The problem In four online experiments with 1,114 participants, substitute AI recommendations were less effective than augmented AI recommendations for sustainability-framed green products, and more effective only for utility-framed ones.
Answer in the threadHow do we know? What can this kind of evidence show, and what can’t it?
The evidence This rests on a controlled comparison with a sample of 1,114, from Journal of Consumer Behaviour.
Answer in the threadWhat does it leave open? What else would you want to know before acting on it?
The record’s own caveat The findings come from scenario-based online experiments rather than observed purchases in real shopping settings.
Answer in the threadHave you seen AI used this way where you study, work or live? Did it go the same way?
Answer in the thread
The questions are the same on every record. The details under them are taken from this record as written.
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