Impact of AI strategies on climate-change performance: Responsible AI and crisis management perspectives
研究基于美加235家企业数据，发现AI策略通过气候风险识别与评估间接提升气候变化绩效，且负责任AI嵌入度越高效果越强，但危机响应处理不受此调节。
Addressing the Sustainable Development Goal related to climate change through artificial intelligence (AI) is an important area of interest for scholars, practitioners, and policymakers. This study examines how AI based strategies, hereafter AI strategies – including AI data management and quality, AI analytics, and AI-driven insights employed by the firms – impacting the climate change performance. It emphasizes the mediating role of climate crisis management (risk identification, risk assessment, and crisis response monitoring and treatment) and the moderating role of responsible AI. Using survey data from 235 managers of firms in the USA and Canada, findings reveal that climate risk identification and assessment significantly mediate the positive effects of AI strategies on climate change performance. These indirect effects are stronger under conditions of high responsible AI embeddedness. While crisis response monitoring and treatment also show a positive indirect relationship with climate change performance, this effect does not significantly differ based on the level of responsible AI. The research contributes to crisis management literature by highlighting the critical role of embedding responsible AI strategies for effective climate crisis management, especially in accurately identifying crisis types and assessing their severity. Additionally, we provide a structured 3x3 matrix that offers managerial guidelines drawing insights from data-derived findings and present critical research avenues for future exploration. Practically, these findings assist managers in effectively integrating responsible AI practices into crisis management processes to enhance firms’ climate performance and resilience. • Integrates AI strategy with a climate crisis management framework to assess climate performance. • Responsible AI enhances risk identification but not crisis response effectiveness. • AI's strongest impact lies in proactive risk management rather than real-time crisis handling. • Offers a framework aligning organizational AI strategy in addressing SDG 13. • Offers 3X3 matrix based managerial guidelines.