Dual G.R.E.E.N circle: a mechanism and practical framework for promoting green consumption embedding generative AI

Abstract Green consumption can promote the rational utilization and protection of resources, serving as a critical measure in addressing global environmental issues. However, there remains an ‘attitude-behavior’ gap. While existing studies have begun to focus on integrating artificial intelligence technology into the promotion of green consumption, no guiding framework utilizing generative AI has been proposed yet. Adopting a conceptual approach, this paper draws insights from a broad range of literature in marketing management, consumer behavior, human-computer interaction, and behavioral economics. It introduces a framework named the ‘Dual G.R.E.E.N Circle,’ which delineates the mechanisms and practical frameworks for embedding generative AI to facilitate green consumption. The inner circle describes the intrinsic mechanism framework for leveraging generative AI to promote green consumption behaviors—including Guiding Awareness, Rewarding Behavior, Empowering Accessibility, Enhancing Experience, Nudging Strategy; Whereas the outer circle delineates a practical framework for embedding generative AI technologies in practices that encourage green consumption—including Generational Influence, Result Visualization, Enabling Creativity, Entertaining Educational, Narrative Construction. This framework fills the theoretical gap in this field, providing practical guidance for policymakers and marketing practitioners.

Authors

Institutions

Publication Details

Journal
Environmental Research Communications
Published
2025-09-01
DOI
https://doi.org/10.1088/2515-7620/ae0382
Citations
1
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
2.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual G.R.E.E.N circle: a mechanism and practical framework for promoting green consumption embedding generative AI

Wei Xu, Mengjiao Yin, Yueqi Wang
1 citations
Environmental Research Communications
Environmental Sustainability in Business
2.07
article

Dual G.R.E.E.N circle: a mechanism and practical framework for promoting green consumption embedding generative AI

Wei Xu, Mengjiao Yin, Yueqi Wang
article en
1 citations

Abstract

Abstract Green consumption can promote the rational utilization and protection of resources, serving as a critical measure in addressing global environmental issues. However, there remains an ‘attitude-behavior’ gap. While existing studies have begun to focus on integrating artificial intelligence technology into the promotion of green consumption, no guiding framework utilizing generative AI has been proposed yet. Adopting a conceptual approach, this paper draws insights from a broad range of literature in marketing management, consumer behavior, human-computer interaction, and behavioral economics. It introduces a framework named the ‘Dual G.R.E.E.N Circle,’ which delineates the mechanisms and practical frameworks for embedding generative AI to facilitate green consumption. The inner circle describes the intrinsic mechanism framework for leveraging generative AI to promote green consumption behaviors—including Guiding Awareness, Rewarding Behavior, Empowering Accessibility, Enhancing Experience, Nudging Strategy; Whereas the outer circle delineates a practical framework for embedding generative AI technologies in practices that encourage green consumption—including Generational Influence, Result Visualization, Enabling Creativity, Entertaining Educational, Narrative Construction. This framework fills the theoretical gap in this field, providing practical guidance for policymakers and marketing practitioners.

Environmental Research CommunicationsVol. 7(9)
Wuxi Taihu Hospital (CN)
Government of Jiangsu Province, Qinglan Project of Jiangsu Province of China
Openalex Percentile: Top 10%
Environmental Sustainability in Business
2.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.