• Medientyp: E-Artikel
  • Titel: Artificial intelligence and corporate risk-taking : evidence from China
  • Beteiligte: Chen, Hong [Verfasser:in]; Zhang, Mengyun [Verfasser:in]; Zeng, Jun [Verfasser:in]; Wang, Wenhua [Verfasser:in]
  • Erschienen: 2024
  • Erschienen in: China journal of accounting research ; 17(2024), 3 vom: Sept., Artikel-ID 100372, Seite 1-22
  • Sprache: Englisch
  • DOI: 10.1016/j.cjar.2024.100372
  • Identifikator:
  • Schlagwörter: Artificial intelligence ; Financing constraints ; Risk-taking ; Aufsatz in Zeitschrift
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Nicht-kommerziell - Keine Bearbeitung (CC BY-NC-ND)