Research on the Relationship Between Female Executives, AI, and Corporate Breakthrough Innovation Based on Python Text Analysis

Abstract

Exploring the factors influencing breakthrough innovation and finding ways to drive it is a problem that enterprises need to solve. This study constructs an AI lexicon using machine learning techniques, conducts text mining on the 2014–2023 annual reports of Chinese listed companies through Python-based text analysis, and builds regression models using Stata. It empirically examines the negative impact of female executives on corporate breakthrough innovation and the moderating role of AI technology in this relationship. By introducing machine learning-based text analysis into the research field of executive gender and corporate innovation for the first time, this study not only provides micro-level empirical evidence for AI technology enabling strategic decision-making in enterprises but also offers new managerial implications for optimizing executive team structures and promoting breakthrough innovation.