EconPapers    
Economics at your fingertips  
 

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

Kai Wang, Lin Lu, Junyi Fang, Yiwei Xing, Zelin Tong and Lei Wang

Managerial and Decision Economics, 2023, vol. 44, issue 6, 3346-3353

Abstract: Extant 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.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/mde.3882

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3346-3353

Access Statistics for this article

Managerial and Decision Economics is currently edited by Antony Dnes

More articles in Managerial and Decision Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-04-26
Handle: RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3346-3353