业务
企业可持续发展
动作(物理)
样品(材料)
持续性
透视图(图形)
产业组织
方向(向量空间)
依赖关系(UML)
气候变化
面子(社会学概念)
营销
计算机科学
生态学
社会科学
化学
物理
几何学
数学
软件工程
色谱法
量子力学
人工智能
社会学
生物
作者
Fue Zeng,Guo Yihong,Qing-Ji Fan,Cheng Lu Wang
标识
DOI:10.1016/j.indmarman.2023.12.018
摘要
As climate change risks increasingly threaten corporate economic activities, an increasing number of firms become aware of need to take actions and develop strategies for addressing climate change or sustainability. However, B2B companies may face challenges in implementing green strategies because of their close relationships with other partners in the supply chain. Hence, from a strategic orientation perspective, this study explores the impact of AI orientation on corporate climate actions based on the dynamic capabilities view. Using a sample of 4050 China's listed companies from 2018 to 2021, the study employs instrumental variables to examine the impact of AI orientation on corporate climate actions, while also considering the moderating effects of dependent structure and innovation capability. The findings suggest that AI orientation promotes corporate climate actions, and that higher innovation capability reinforces this effect. However, the stronger the external dependency is, the weaker the positive effect of AI orientation on corporate climate action will be. The research outcomes provide theoretical and empirical evidence for B2B firms to reasonably apply AI to achieve goals of environmental protection and emission reduction.
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