Di Sun
Papers
1
Total Citations
27
H-Index
1
About
Di Sun is a pioneering researcher at the intersection of artificial intelligence, supply chain management, and auditing. Her work explores how AI applications diffuse through supply chains, with a particular focus on their impact on audit pricing—a critical yet underexamined area in modern finance. In her highly cited 2024 paper, "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," Sun introduces novel frameworks that reveal how AI adoption cascades across supplier networks, fundamentally reshaping cost structures and risk assessments in auditing. This work has quickly garnered 27 citations, signaling its influence among scholars and practitioners alike. Sun’s research not only advances theoretical understanding of technology diffusion but also offers actionable insights for auditors and regulators navigating the AI-driven transformation of financial oversight. Her contributions are vital for students and researchers interested in the practical implications of AI in business ecosystems, making her a rising voice in the field of accounting and information systems.
Research Focus
Key Achievements
Top Papers
- 1