调解
人工智能
投资(军事)
人工智能应用
中国
点(几何)
业务
深度学习
焦点
关系(数据库)
知识管理
商业智能
计算机科学
经济
人工神经网络
产业组织
大数据
数据集成
深度整合
投资决策
机器学习
数据科学
营销
灵敏度(控制系统)
作者
Hong Chen,Mengyun Zhang,Jun Zeng,Wenhua Wang
标识
DOI:10.1016/j.cjar.2024.100372
摘要
The deep integration of artificial intelligence (AI) into enterprises presents both opportunities and challenges, making it a focal point of current research. This study explores the impact of AI on corporate risk-taking, using data spanning 2010–2019 from A-share listed companies in China. Our findings suggest that AI significantly heightens companies’ level of risk-taking. Furthermore, financing constraints can amplify the relationship between AI and risk-taking, enhancing their sensitivity correlation. AI also significantly improves firms’ investment efficiency and mitigates their underinvestment issues. Finally, mediation tests indicate that AI enhances risk-taking by diminishing firms’ risk perception. Overall, we offer valuable insights into and references for accelerating the deep integration of AI into enterprises.
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