Аннотация
With the rapid integration of artificial intelligence (AI) into organizational decision-making, leadership models in digital organizations are undergoing a profound transformation. This paper develops an AI-supported leadership decision system (AI-LDS) framework that integrates data-driven analytics, cognitive computing, and emotional intelligence modeling to support adaptive management decisions. A quantitative study was conducted using survey data from 286 digital firms across China's technology, e-commerce, and manufacturing sectors. Structural Equation Modeling (SEM) was applied to test the relationships among AI integration level (AI), data-driven decision capability (DDC), leadership adaptability (LA), and organizational performance (OP). Results show that AI significantly enhances DDC (β = 0.68, p < 0.001) and LA (β = 0.55, p < 0.001), which subsequently improve OP (β = 0.47, p < 0.01). The study provides empirical evidence for the transformative impact of AI systems on leadership effectiveness and digital organizational agility.