Effect of New Quality Productivity Innovation on Green Supply Chain Efficiency in High-Tech Enterprises: Moderating Effects of AI-Driven Digital Transformation

This study investigates the relationship between new quality productivity innovation and green supply chain efficiency in Chinese high-tech enterprises, with particular attention to the moderating role of AI-driven digital transformation. Using structural equation modeling with data collected from 287 high-tech enterprises in China's eastern coastal provinces, we examine how innovative productivity approaches influence environmentally sustainable supply chain operations. Moreover, Results indicate that new quality productivity innovation has a significant positive impact on green supply chain efficiency (β = 0.563, p < 0.001). Furthermore, AI-driven digital transformation positively moderates this relationship (β = 0.417, p < 0.01), enhancing the effectiveness of productivity innovations on environmental performance metrics. These findings contribute to both innovation management theory and sustainable operations literature by highlighting the synergistic potential of technological innovation and digital transformation in advancing corporate environmental goals. The study offers practical implications for managers seeking to leverage emerging technologies to simultaneously improve productivity and environmental performance.