Track Co-Chairs
Ning Zhang
Professor
zhangning@cufe.edu.cn
Central University of Finance and Economics
Wei Xu
Professor
weixu@ruc.edu.cn
Renmin University of China
Pengzhen Yin
Associate Professor
yinpz@hfut.edu.cn
Hefei University of Technology
Gang Wang
Professor
wgedison@hfut.edu.cn
Hefei University of Technology
Brief Introduction
Generative AI is unlocking new value in digital commerce—creative production, conversational shopping, dynamic content, and automation—while raising questions about risk, trust, sustainability, and long-term ecosystem health. Therefore, development and governance should progress hand in hand, translating scalable innovation into trusted and sustainable outcomes.
This track centers on sustainable AIGC innovation: how firms design, deploy, and govern generative systems to achieve durable business impact with responsible resource use and societal outcomes. We invite research on innovative application of AI, responsible AI, AIGC-involved risk management framework, and governance mechanisms that balance innovation and trust.
We welcome theory-building, empirical, experimental, ethnographic, design science, case studies, and cross-country comparisons. Submissions should emphasize actionable governance frameworks, metrics, and tools to advance innovative, responsible, trustworthy, and sustainable AIGC adoption across global e-commerce ecosystems.
Topics
1.Product understanding with multimodal/foundation models
2.Generative personalization & ad creatives
3.Agentic workflows in commerce operations
4.Green AIGC and sustainable governance
5.Data governance: privacy, consent, provenance, and IP in commercial AI
6.Consumer trust by design: disclosure, watermarking, provenance, and transparency UX
7.Risk (eg. default, fraud, and credit risk) behavioral analysis with GenAI
8.Platform governance of UGC/AIGC: fake reviews, deepfakes, brand safety
9.AI hallucination and risk evaluation frameworks in E-commerce applications
10.Role division, responsibilities, and accountability mechanisms in human–AI collaboration
11.GenAI-based risk detection, monitoring, and prevention
12.Decision support in risk management with GenAI
13.New perspective on AIGC-involved risk management strategies
14.AI literacy and governance awareness among E-commerce practitioners and consumers
……
Associate Editors
Jiacheng Zhang
Assistant Professor
jczhang@cufe.edu.cn
Central University of Finance and Economics
Jingling Ma
Lecturer
majingling1626@zufe.edu.cn
Zhejiang University of Finance and Economics