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Leadership diversity and firms' AI engagement: Evidence from female executives in China

  • Lu Zhang
  • , Millicent Chang
  • , Chao Xing*
  • *Corresponding author for this work
  • University of Wollongong
  • Ocean University of China

Research output: Contribution to journalArticlepeer-review

Abstract

This study examines how gender diversity in top management teams influences firms' engagement with artificial intelligence (AI), an area that remains underexplored despite growing interest in corporate AI adoption. Using a panel of Chinese listed firms from 2008 to 2022, we distinguish between two dimensions of AI engagement: AI-related disclosure in annual reports and AI adoption captured through operational investment and patents. We find that firms with greater female representation in top management disclose more AI-related information, particularly when female executives possess greater structural power, academic prestige, or external social networks. Moreover, female executives' functional expertise matters for substantive AI engagement. Manufacturing expertise is associated with deeper AI implementation in operations, while R&D expertise is linked to stronger AI-related innovation. Our main results are robust to alternative measures, propensity score matching, and instrumental variable estimation. Overall, these findings highlight the strategic role of female executives in shaping firms' responses to emerging AI technologies in an emerging-market context and point to avenues for future research on leadership and digital transformation.

Original languageEnglish
Article number105212
JournalInternational Review of Financial Analysis
Volume116
DOIs
StatePublished - Aug 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Keywords

  • AI engagement
  • Artificial intelligence
  • Female leadership
  • Gender diversity

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