Bridging Information Systems and Marketing for Innovation: AI-Driven Human–AI Interaction and Marketing Decision-Making

This forum invites high-quality theoretical, empirical, and methodological research at the intersection of information systems and marketing, with a particular focus on how AI-driven human–AI interaction shapes consumer decision-making and firms’ marketing decisions. With the widespread adoption of generative AI, intelligent agents, algorithmic recommendation systems, and interactive interfaces, marketing activities are increasingly embedded in complex information systems. As a result, decision processes for both consumers and firms are shifting from one-way information acquisition to ongoing, human–AI collaborative interaction.

This forum aims to foster interdisciplinary dialogue among information systems and marketing scholars around the AI–human–AI interaction–decision mechanism nexus, and to examine how intelligent systems shape consumer judgment, managerial decision-making, and market behavior across different marketing contexts. We welcome multi-level perspectives spanning individuals, organizations, and platforms. Submissions may include experiments, surveys, and field studies, as well as methodological innovations such as log data and large-scale secondary data analysis, text and multimodal data mining, machine learning, and causal inference. We also encourage extensions and re-examinations of classic theories in AI-enabled contexts, as well as the conceptualization and theoretical modeling of emerging marketing phenomena.

Key topics include, but are not limited to:

· AI-driven human–AI interaction and marketing decision-making

· Generative AI, intelligent agents, and marketing applications

· Algorithmic recommendation systems, and consumer judgment and choice

· Interactive interface design, explainability, and trust

· Data-driven personalization and customer relationship management

· Human–AI collaboration and value co-creation in platform environments

· Information systems capabilities, digital transformation, and marketing performance

· Digital privacy, algorithmic fairness, and ethical issues

Important Dates

Paper Submission Deadline: January 1 – March 31, 2026

Notification of Acceptance: April 15, 2026

Submission Guidelines

When submitting your paper, please follow the steps below to ensure it is directed to the correct mini track:

· Select [D (Thematic Cluster Submissions)] as the submission category.

· Enter “IS+Marketing” as the Chair of the Group Submission.

· Enter “IS+Marketing” as the Topic of the Group Submission.

All submissions will undergo a peer-review process. Accepted papers will be included in the conference proceedings, and at least one author is required to register and present the paper at the conference.

Chairs:

Prof. Cheng YI

Cheng Yi is an Associate Professor at the School of Economics and Management, Tsinghua University, China. She received her Ph.D. in Information Systems from National University of Singapore. Her research interests include human computer interaction, electronic commerce, online consumer behavior and digital learning. Her work has appeared in journals such as Information Systems Research, Management Science, MIS Quarterly, Production and Operations Management, and Journal of Management Information Systems. Her editorial service includes Associate Editor roles at MIS Quarterly and Decision Sciences, and Editorial Review Board memberships for Information Systems Research and the Journal of the Association for Information Systems.

Prof. Jun PANG

Jun Pang is a Professor at the Business School of Sun Yat-Sen University. Before joining Sun Yat-Sen University, she was an Associate Professor of Marketing at the School of Business, Renmin University of China. She received her Ph.D. in Management from the Guanghua School of Management, Peking University. Professor Pang’s research explores how new technologies and social factors shape consumer behavior. Her work has appeared in leading marketing and information systems journals, including Journal of Marketing, MIS Quarterly, Journal of the Academy of Marketing Science, Journal of Consumer Psychology, Journal of Retailing, and International Journal of Research in Marketing.