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Special Track6:AI-Driven Sustainable E-Commerce and Green Consumption Innovations

Track Co-chairs


Rui Wang

Rui Wang

[email protected]
China University of Petroleum (Beijing)


Ruizhi Wang

Ruizhi Wang

[email protected]
Beijing University of Chinese Medicine


Yao Wang

Yao Wang

[email protected]
China University of Geosciences (Beijing)


Ying Bao

Ying Bao

[email protected]
China University of Petroleum (Beijing)


Li Wan

Li Wan

[email protected]
Beijing Institute of Mathematical Sciences and Applications


Kaidi Wan

Kaidi Wan

[email protected]
China University of Mining and Technology


Brief Introduction

Greening and low-carbon development are essential pathways to achieving high-quality growth. As a critical domain where digital and real economies converge, e-commerce not only drives consumption upgrades and facilitates the smooth functioning of domestic and international economic circuits, but also serves as an effective vehicle for advancing the green transition in production and lifestyle practices and for fulfilling the strategic goals of carbon peak and carbon neutrality. At present, China’s e-commerce sector is shifting from a phase of rapid expansion to one of high-quality development, wherein green and sustainable transformation has emerged as a core determinant of long-term competitiveness. Against the backdrop of rapid advancements in artificial intelligence, several pivotal questions arise: How can intelligent technologies help alleviate the resource and environmental constraints confronting e-commerce development? How can digital innovation guide and cultivate green consumption habits among the public? And how can a sustainable e-commerce ecosystem be established that harmonizes business efficiency, environmental integrity, and social responsibility? Addressing these questions holds substantial theoretical and practical significance for charting a green development path for the digital economy within the context of Chinese modernization and for shaping new international competitive advantages. This track aims to explore cutting-edge developments in AI-enabled sustainable e-commerce, bringing together academic and industry insights to examine how technological, modal, and governance innovations can collaboratively drive the construction of a green e-commerce system. The objective is to provide actionable insights for policy formulation, business practice optimization, and future academic inquiry.


Topics

  1. AI-enabled green consumer behavior
  2. Intelligent service systems and user experience design in sustainable e-commerce platforms
  3. AI-driven green branding and intelligent marketing communication
  4. Smart governance and policy coordination mechanisms for green e-commerce
  5. Intelligent implementation pathways of circular economy principles in e-commerce contexts
  6. Psychological mechanisms underlying green consumption of experience goods
  7. Policy incentives and market responses to green experiential consumption
  8. Intelligent identification and prediction of consumer green preferences


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