organizations-research-labs

Research Labs – CAMO

Lab Directors

Prof. Matthias Fahn

Prof. Matthias Fahn

Associate Professor, Management and Strategy

Prof. Jie Gong

Prof. Jie Gong

Associate Professor, Economics and Management and Strategy

About the Lab

The success of organizations depends on its ability to attract the right people, motivate effective action, and coordinate efforts. Artificial intelligence is transforming all three of these areas, requiring organizations to adapt their structures for the new challenges and opportunities.

Our lab focuses on guiding this essential transformation. Our work identifies effective organizational response and examine their interaction with markets, norms, and institutions. Through research and collaboration with industry practitioners, we assess the current state of AI adoption in firms, identify common pitfalls, and develop frameworks that help leaders structure and address these critical challenges.

Lab Directors

Prof. Ye Luo

Prof. Ye Luo

Associate Director, Institute of Digital Economy and Innovation

Associate Professor, Economics and Finance

Prof. Xin Tong

Prof. Xin Tong

Professor, Economics and Innovation and Information Management

About the Lab

Our mission is to pioneer AI-driven solutions for business challenges by developing multi-agent systems and domain-specific AI architectures, while guiding organizations through ethical, scalable, and transformative AI adoption. We focus on developing platforms for AI agents and multi-agent architecture for business and management, designing AI agents for specific business applications with deep domain knowledge, and studying the economic impact of AI transformation on human behavior, business and organizations.

Lab Directors

Prof. Will Peichun Wang

Prof. Will Peichun Wang

Associate Professor, Management and Strategy

About the Lab

The AI Implementation (AI2) Lab is dedicated to turning AI and business research into real-world AI adoption. We collaborate with organizations to identify frictions, develop deployment strategies, and measure impact of AI implementation. Our work focuses on helping firms adopt and scale AI, designing business models for the AI era, and incubating AI-related innovations through experimentation and prototyping.

Lab Director

Prof. Yanhui Wu

Prof. Yanhui Wu

Professor, Economics and Management and Strategy

About the Lab

Our mission is to advance understanding of how generative AI is transforming labor markets, leisure, and overall wellbeing, with a particular focus on China. We are committed to conducting rigorous, data-driven, and causally robust research to generate actionable insights. Distinctively, our people-centered approach places human wellbeing at the core of our analysis, going beyond productivity and profitability to explore how technological change can foster better jobs and lives.