πŸ“–
Investigating the impact AI on Corporate financial and operating flexibility of Retail Enterprises in China
Chi Li, Yingda Tang, Kaixian Xu

Investigating the impact AI on Corporate financial and operating flexibility of Retail Enterprises in China

Author / Organization:
Science & Mathematics Published 2025 Verification Pending

Overview & Synopsis

Using panel data of 373 retail firms listed on Shenzhen and Shanghai Stock Exchange from 2011 to 2022, this study examines the transformative impact of artificial intelligence on the operating and financial flexibility of retail enterprises of China. We employ two-way fixed effects regression model to demonstrate how AI influences corporate operating and financial flexibility. The findings of this study show that AI positively influence corporate operating and financial flexibility, however, the influence is more pronounced and greater on operating flexibility of retail firms. The heterogeneity analysis results show that retail firms with high innovation capabilities and those in developed regions benefit most from AI adoption, optimizing their adaptability and stability via improving operating and financial flexibility. Moreover, AI fosters operating flexibility of small-sized retail enterprises while enhances financial flexibility of largesized retail enterprises. These findings highlight the crucial role of AI to navigate uncertainties and driver resilience in the evolving economic landscape. Policymakers are suggested to foster AI infrastructure, make innovation-driven policies, and promote digital inclusion to ensure sustainable growth and equitable benefits for China's retail industry.

Advertisement
SPONSOR CONTENT
Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Investigating the impact AI on Corporate financial and operating flexibility of Retail Enterprises in China
Author / Organization Chi Li, Yingda Tang, Kaixian Xu
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2025
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-84881
Original Source Link Visit Source Page on hal.science »