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Artificial intelligence and corporate risk-taking: Evidence from China
被引:0
|作者:
Chen, Hong
[1
,2
]
Zhang, Mengyun
[1
]
Zeng, Jun
[1
]
Wang, Wenhua
[1
,3
]
机构:
[1] Yunnan Univ Finance & Econ, Sch Accountancy, Kunming 650221, Peoples R China
[2] Zhaotong Univ, Sch Management, Zhaotong 657000, Peoples R China
[3] Univ Int Business & Econ, Business Sch, Beijing 100029, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Artificial intelligence;
Risk-taking;
Financing constraints;
SUPPLY CHAIN MANAGEMENT;
DECISION-MAKING;
ROBOTS;
INVESTMENT;
D O I:
10.1016/j.cjar.2024.100372
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
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. (c) 2024 Sun Yat-sen University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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