Track Co-Chairs
Yaobin Lu
Distinguished Professor
luyb@mail.hust.edu.cn
Huazhong University of Science and Technology
Zhao Pan
Associate Professor
panz@hust.edu.cn
Huazhong University of Science and Technology
Chenwei Li
Assistant Professor
chenwei.li@xjtlu.edu.cn
Xi’an Jiao-tong Liverpool University
Brief Introduction
This track addresses the profound paradigm shift in marketing—from traditional digital strategies to intelligent marketing driven by Artificial Intelligence (AI), advanced data analytics, and rigorous experimental methods. It aims to provide a dedicated forum for cutting-edge research that leverages technology to understand and engage with consumers in unprecedented ways. The core focus of this track is twofold: 1) The application of intelligent technologies (such as Generative AI, machine learning, chatbots, and virtual influencers) in marketing, and 2) The in-depth analysis of consumer dynamics (including behaviors, insights, decision-making, and social interactions) using computational and data-driven approaches.
We are particularly interested in research that moves beyond simple platform descriptions, offering deep insights into how data and AI can be used to acquire, retain, and build relationships with consumers. We welcome studies that utilize quantitative modeling, data mining, social media analytics, and experimental designs (both field and online) to address critical marketing challenges and opportunities. This track attracts high-quality submissions exploring the intersection of AI, data science, consumer behavior, and marketing strategy.
Topics
Recommended Topics (Includes, but is not limited to):
AI-powered marketing interventions (e.g., Generative AI, chatbots, virtual influencers) and their impact
Data-driven analysis of consumer behavior, segmentation, and dynamics
Experimental methods (e.g., A/B testing, field/online experiments) for marketing strategy optimization
Mining consumer insights from unstructured data (e.g., social media text, images, reviews)
Personalization, recommendation systems, and consumer response models
The impact of AI and intelligent agents on the customer journey and experience
Social media marketing, online community engagement, and user-generated content analysis
Computational advertising and marketing analytics
Ethical, societal, and policy implications of intelligent marketing and data usage
Associate Editors
Zhengzhi Guan
Assistant Professor
zhengzhiguan@bnbu.edu.cn
Beijing Normal-Hong Kong Baptist University
Xiaofei Song
Assistant Professor
xiaofei.song@xjtlu.edu.cn
Xi’an Jiao-tong Liverpool University
Shixuan Fu
Associate Professor
fushixuan@ustb.edu.cn
University of Science and Technology Beijing