生成式人工智能与环境可持续性:行为中介与碳足迹挑战

Generative AI and Environmental Sustainability: Behavioral Mediation and Carbon Footprint Challenges

BUSINESS STRATEGY AND THE ENVIRONMENT · 2026
被引 0
人大 A-ABS 3

中文导读

研究通过调查474名参与者,发现生成式AI使用强度不直接预测环保行为,而是通过环境态度、感知环境影响、气候变化焦虑和环境意识完全中介,且应对气候变化意图显著增强这些间接效应。

Abstract

ABSTRACT This study aims to elucidate the underlying psychological mechanisms by which generative artificial intelligence (GenAI) usage influences eco‐conscious behavior. Specifically, it investigates the mediating roles of environmental attitudes, perceived environmental impact, climate change anxiety (CCA), and environmental awareness, while examining the moderating effect of climate change intentions. Through this comprehensive framework, the research advances understanding of how cognitive, emotional, and motivational processes interact to shape sustainable behavior in digital contexts. This research utilized a quantitative methodology, surveying 474 participants, including Moroccan nationals and international visitors present in Morocco through online and offline methods. Partial least squares structural equation modeling (PLS‐SEM) was employed to rigorously test mediation and moderation relationships between GenAI usage intensity and eco‐conscious behavior across multiple psychological constructs. The findings reveal that GenAI usage intensity does not directly predict eco‐conscious behavior. Instead, environmental attitudes, perceived environmental impact, CCA, and environmental awareness fully mediate this relationship. Crucially, intentions to tackle climate change significantly amplify these indirect effects, emphasizing motivation as a key driver in converting AI engagement into sustainable behavioral change within the digital environmental context. The present paper highlights how companies can embed sustainability in GenAI by integrating real‐time carbon footprint feedback and motivational cues into AI systems, driving eco‐conscious user behavior. Coupled with strong governance and regulatory compliance, this approach mitigates AI's environmental impact while fostering responsible innovation. Aligning AI development with sustainability not only reduces emissions but also enhances competitive advantage and brand reputation, enabling firms to lead in sustainable digital transformation and support global climate goals.

环境心理学可持续行为人工智能治理气候变化