Workshop Overview
Hosted by: Zhijun Yan, Beijing Institute of Technology
Location: Beijing, China (Beihang University)
Date: July 17, 2026
Workshop Co-chairs
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Professor Zhijun Yan
School of Management
Beijing Institute of Technology
yanzhijun@bit.edu.cn
Co-chair Bio
Zhijun Yan is a professor in the Department of Management Engineering at the School of Management, Beijing Institute of Technology, and concurrently holds a professor in the Social Science Domain at Beijing Institute of Technology (Zhuhai). He received his Ph.D. from Beijing Institute of Technology. His research interests include online healthcare, health data analytics, and electronic commerce. He has published in MIS Quarterly (MISQ), Production and Operations Management (POMS), Journal of Management Information Systems (JMIS), Information & Management (I&M), among others.
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Associate Professor Liuan Wang
School of Management
Beijing Institute of Technology
wangliuan1973@bit.edu.cn
Co-chair Bio
Liuan Wang is an Associate Professor at the School of Management, Beijing Institute of Technology. Previously, he was a postdoctoral research fellow of the “Zhuoyue” program in Beihang University. He received his PhD in Management Science and Engineering from the Harbin Institute of Technology. His research interests include health and healthcare IT, as well as AI in health and healthcare. His work has been published in premier academic journals, such as Information Systems Research, Journal of Management Information Systems, INFORMS Journal on Computing, Decision Support Systems, Computers in Human Behavior, and others. He also serves as a Senior Editor for Information Technology and People and an Associate Editor for Electronic Commerce Research and Applications.
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Associate Professor Wenlong Liu
College of Economics and Management
Nanjing University of Aeronautics and Astronautics
willenliu@nuaa.edu.cn
Co-chair Bio
Wenlong Liu is an Associate Professor in the Department of Business Administration, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, and a Research Fellow at Wuxi Research Institute of Nanjing University of Aeronautics and Astronautics. He received his Ph.D. from Gyeongsang National University, South Korea. He was a Postdoctoral Fellow at Fudan University and a Visiting Scholar at the University of Bristol, UK. His research interests cover online healthcare, health data analytics, elderly care, and electronic commerce. His publications have appeared in several prominent SSCI/SCI journals, and his work has been listed as ESI Highly Cited Papers and Top Papers for consecutive periods.
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Brief Introduction
AI has profoundly transformed service interactions, value creation, and user decision-making across modern electronic business ecosystems. While AI-driven personalization and recommendation systems effectively boost operational efficiency and user engagement in digital commerce, their rapid and widespread adoption also raises critical concerns regarding user psychological well-being, algorithmic fairness, and digital trust. In electronic commerce contexts, AI applications further shape relational dynamics and user well-being outcomes, highlighting the need for human-centered design considerations. As digital well-being emerges as a core concern in e-commerce research, scholars have called for systematic frameworks to examine the multifaceted impacts of AI on individual users, while unfair algorithmic practices in pricing and recommendations threaten social equity and long-term platform sustainability. Against this dual reality of technological benefits and societal risks, this workshop explores the interplay between AI technologies, user well-being, and social good in electronic business, investigating how responsible design, governance, and innovation can mitigate harms, advance equity, and align AI-driven e-business development with sustainable social value creation.
Topics
- AI personalization and user psychological well-being
- Algorithmic fairness and social equity in AI era
- Trust, transparency and explainable AI for well-being
- Generative AI applications and user well-being in e-services
- Digital inclusion and vulnerable user empowerment via AI
- Ethical AI governance for social good in digital commerce
- User well-being in human-AI interactions
- AI-driven sustainable consumption and social value creation
- Unintended harms of e-commerce AI and mitigation strategies
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