The Second Annual Conference on AI Economy & Management
Peking University HSBC Business School
Conference Date: June 24, 2026
Location: PHBS Main Campus, Shenzhen, China
Submission Deadline: June 13, 2026, 23:59, CST
The conference will convene scholars and industry leaders to discuss how artificial intelligence is reshaping economic activity, organizational design, and management practice. The program welcomes interdisciplinary research across operations, information systems, marketing, organizational behavior, strategy, and related fields.
Confirmed keynote speakers and track leaders include:
- Teo Chung Piaw, National University of Singapore, operations research, optimization, and AI-driven decision systems
- Ming Hu, Rotman School of Management, University of Toronto, economics of operations, platform marketplaces, and the intersection of AI and operations management
- Zhengrui Jiang, SFI Chair Professor, CUHK Shenzhen, information systems and digital markets
- Dong Liu, Thomas R. Williams Chair, Scheller College of Business, Georgia Tech, organizational behavior, leadership, and the future of work
- Jason Thatcher, University of Colorado, generative AI and the responsible use of AI in scientific discovery
Conference themes and tracks include:
Featured Theme Track: AI Economy & Platform Strategy
This track anchors the conference theme and examines how autonomous and generative AI systems are transforming platform strategy, enterprise architectures, and value creation logics across industries. Topics include agentic AI and multi-agent decision systems, deep reinforcement learning for algorithmic strategies and platform pricing, generative AI for products, services, and business model innovation, edge AI and enterprise information systems, digital twins, Industry 4.0/5.0, platform economics in the age of autonomous intelligence, and human–AI collaboration, governance, trust, and responsible deployment.
Track A: AI-Driven Operations Management
This track focuses on methodological and applied advances of AI, machine learning, and data science in operations, supply chains, and decision-making. Topics include ML and data analytics in operations management, AI-enabled supply chain optimization and intelligent logistics, inventory, demand forecasting, revenue management with AI, data-driven pricing, scheduling, operational decisions, closed-loop supply chains, sustainability, resilience, and IoT, blockchain, and cloud/edge computing for smart operations.
Track B: AI-Driven Market Analysis
This track focuses on consumer behavior, two-sided markets, and AI-enabled marketing under the transition from the platform economy to the AI economy. Topics include AI-driven consumer behavior modeling and demand forecasting, platform economy and two-sided markets, generative AI and marketing content optimization, and social media analytics.
Track C: Organizational Behavior & Workforce Dynamics
This track focuses on people, leadership, and culture in AI-augmented organizations and the future of work. We especially encourage OB scholars to submit work related to employee trust and acceptance of AI systems, leadership and organizational culture in AI environments, mental health and resilience under algorithmic management, team dynamics in human–AI collaboration, and workforce upskilling and career development.
Track D: Generative AI & Research Innovation
This track focuses on human–AI collaboration in scientific discovery, theory development, and responsible AI in research. Topics include AI-assisted theory development and hypothesis generation, how AI reshapes research productivity and creativity, agentic systems for literature synthesis and knowledge discovery, AI for computational social science, and responsible and ethical AI use in research.
Submissions should be extended abstracts of 300–450 words and will be considered for oral presentations or poster sessions. Abstracts should include the title, author names and affiliations, presenter indication, 3–5 keywords, and a concise summary of the background, methodology, findings, and contributions. Submissions should be sent as a PDF to aimc@phbs.pku.edu.cn with the subject line: AIEM2026 Submission – [First Author's Name]
Participation without paper submission is also welcome. Scholars, researchers, doctoral students, postdoctoral fellows, faculty members, and industry practitioners are invited to attend as registered participants. To register, please email aimc@phbs.pku.edu.cn with the subject line: AIEM2026 Participants
Please include each attendee's full name, institutional affiliation, and career stage.
The conference will include keynote addresses, parallel paper sessions, panel discussions, networking opportunities, and best paper awards.
For questions, please contact the Organizing Committee at aimc@phbs.pku.edu.cn.
Best regards,
Ying Wu
yingwu@phbs.pku.edu.cn
Incoming Assistant Professor
Peking University HSBC Business School
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Ying Wu
yingwu@phbs.pku.edu.cnIncoming Assistant Professor
Peking University HSBC Business School
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