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Explore the Internal Mechanism of the Integration of ChatGPT on Company Performance, Agility and Market Turbulence

Author

Listed:
  • Jiangwei Luo

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

  • Mohd Wira Mohd Shafiei

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

  • Radzi Ismail

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

  • Lixian Chen

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

  • Yingying Duan

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

  • Qinghua Liu

    (Universiti Sains Malaysia, Centre for Global Sustainability Studies)

  • Yao Li

    (Universiti Sains Malaysia, School of Housing, Building and Planning)

Abstract

This study explores the impact of deep Artificial Intelligence (ChatGPT) integration on enterprises and markets, focusing on enterprise systems. Through literature analysis and empirical research, findings reveal that ChatGPT integration effectively regulates enterprise agility (partnering, market, and customer agility) and performance while inducing market turbulence. However, market turbulence does not weaken enterprise performance but enhances it, though it moderates the relationship between ChatGPT infusion and market agility. Additionally, ChatGPT integration actively enhances customer agility, partnering agility mediates the effect of ChatGPT infusion on enterprise performance, and customer agility further drives market agility. This study constructs a new theoretical framework to deepen the understanding of enterprise agility, performance, and market turbulence, offering valuable insights for future research and practical implications for businesses while emphasizing the need for further theoretical refinement and broader industry applications.

Suggested Citation

  • Jiangwei Luo & Mohd Wira Mohd Shafiei & Radzi Ismail & Lixian Chen & Yingying Duan & Qinghua Liu & Yao Li, 2026. "Explore the Internal Mechanism of the Integration of ChatGPT on Company Performance, Agility and Market Turbulence," Computational Economics, Springer;Society for Computational Economics, vol. 67(6), pages 4883-4926, June.
    • Handle: RePEc:kap:compec:v:67:y:2026:i:6:d:10.1007_s10614-025-11035-7
    DOI: 10.1007/s10614-025-11035-7
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