Papers
1
Total Citations
61
H-Index
1
About
Xinhui Sun is a leading researcher at the intersection of artificial intelligence and corporate sustainability. Their work focuses on how AI technologies can drive green transformation, particularly through the lens of green innovation. Sun’s most-cited paper, “Does artificial intelligence technology enhance green transformation of enterprises: based on green innovation perspective” (2023), has garnered 61 citations, establishing a foundational framework for understanding how digital tools can catalyze environmentally responsible business practices. This study explores the mechanisms through which AI adoption influences firms’ green innovation outputs, offering critical insights for policymakers and corporate strategists seeking to align technological progress with ecological goals. Sun’s contributions are especially notable for bridging the gap between emerging AI capabilities and tangible sustainability outcomes, a pressing concern in the era of climate change. By quantifying the impact of AI on green transformation, Sun provides empirical evidence that technology can be a powerful lever for environmental progress. Their work is essential reading for scholars and practitioners in innovation management, environmental economics, and technology policy, and it continues to shape debates on how enterprises can leverage digitalization for a greener future.
Research Focus
Key Achievements
Top Papers
- 1