Measurement of Integrity Genes in Family Businesses Based on Artificial Intelligence

The unique governance model and integrity crisis of family businesses have been deeply analyzed. The concept of the “integrity gene” of family businesses has been systematically proposed and quantified. According to the enterprise gene theory and the development characteristics of family businesses, a measurement index system of the integrity gene of family businesses has been constructed, which includes two dimensions: the integrity ability gene and the integrity behavior gene. Considering the complex problems that occur in the measurement process, artificial intelligence technologies (GA-BP neural network and entropy method) are introduced to conduct an empirical analysis of 134 listed family businesses. The research finds that integrity genes can be divided into four types: HH, HL, LH, and LL, and the AI model significantly improves the measurement accuracy and efficiency. By further combining deep learning and natural language processing technologies, a monitoring framework for integrity genes with dynamic and multi-source data integration is proposed, providing theoretical and technical support for the risk management and high-quality development of family businesses.