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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Managerial and Decis...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Managerial and Decision Economics
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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The downside of artificial intelligence (AI) in green choices: How AI recommender systems decrease green consumption

Authors: Kai Wang; Lin Lu; Junyi Fang; Yiwei Xing; Zelin Tong; Lei Wang;

The downside of artificial intelligence (AI) in green choices: How AI recommender systems decrease green consumption

Abstract

AbstractExtant research shows that marketers are increasingly utilizing artificial intelligence (AI) recommender systems to aid consumers in purchasing decisions across various products, but little research has examined the potential negative impact of AI recommenders on consumers' green consumption intentions compared with human recommender. To address this gap, three studies reveal that AI (vs. human) recommenders reduce consumers' motivation for impression management in green consumption contexts, resulting in decreased intention to purchase green products. This negative effect of AI recommenders on green consumption can be mitigated by priming consumer's environmental identity. This research contributes to the literature of green consumption and AI usage, while also providing practical implications for marketers to manage consumer's reduced green consumption intentions resulting from AI recommenders.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
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