AI Management Lab (AIM Lab)
AI Management Lab brings together multidisciplinary academics, technologists and managers to harness the power of AI.
AIM Lab will serve as a hub for cutting-edge interdisciplinary research, student engagement, and industry collaboration in the field of AI use and innovation with the following primary objectives:
- Facilitate discussion and development of research ideas across business management subject areas. It will contribute to an inclusive research culture, integrating contributions from faculty and research students.
- Provide an open interface for external engagement, as a collaborative space for external partnerships, including consultancy and co-created projects with industry, public sector organisations, and AI think tanks.
- Build a community of practice in AI-led business transformation, enhancing research visibility and societal relevance.
Research
Entrepreneurship and Innovation
Entrepreneurship and Innovation
Led by Endrit Kromidha and Eric Shiu
This theme looks at identifying and exploiting opportunities by applying AI.
With emerging approaches to developing products, services, and business models, both research and practice should critically examine how AI influences scalable and transformative changes within entrepreneurial ecosystems. Despite positive evidence, the darker aspects of knowledge environments may hinder innovation performance. Our work contributes to understanding the seemingly obvious yet inherently complex relationship between AI and its associated tools on one hand, and entrepreneurship and innovation performance on the other.
Work and Workplaces
Work and Workplaces
Led by Dan Wheatley and Dan Wintersberger
The AI in work and workplaces theme examines the implications of AI for work, employment and workforce skills.
The aim is to identify the extent to which workers, their representatives, and other institutional actors can shape a human-centered approach to AI—one in which the development and application of AI augment existing workforce knowledge and skills, facilitating work inclusivity and ensuring a 'just transition' toward more enriching, meaningful, and productive work.
Operations and Supply Chain Management
Operations and Supply Chain Management
Led by Yong Lin, Xiaojun Wang, and Ali Esfhabodi
The operations and supply chain management theme investigates AI’s role in advancing digital operations and building resilient supply chains.
We explore research questions around intelligent planning, disruption prediction, adaptive logistics, and responsible AI adoption, emphasising how AI reshapes processes, structures, and workforce dynamics in increasingly complex and uncertain global supply networks.
Healthcare and Medical Decision-Making
Healthcare and Medical Decision-Making
Led by Elvan Gokalp and Haoyu Liu
The healthcare and medical decision-making theme focuses on advancing analytical and evidence-based approaches that support clinical, operational and policy decision-making.
Core questions examine how data, AI and behavioural insights can enhance patient outcomes, optimise service delivery and strengthen resilience across diverse healthcare systems.
Leadership
Leadership
Led by Joachim Timlon
The AI leadership theme recognises a distance between digital and AI leaders and other industry players that is increasing. We seek to better understand how organizations can harness digital and AI to generate a value premium and the role of the CEO to deliver a responsible AI system.
Strategy and Governance
Strategy and Governance
Led by Xishu Li
The AI strategy and governance theme examines how organisations design AI strategies and governance structures that balance innovation with accountability.
Key questions include when firms should lead or follow AI in decision-making, how governance mechanisms shape dynamic capabilities, and how ethical, regulatory and organisational factors constrain or enable AI-driven transformation.
Climate Change, Food and Sustainability
Climate Change, Food and Sustainability
Led by Bowen Liu, Nana O Bonsu and Pang Gu
This theme investigates how climate, environmental and digital governance shape food-system safety, resilience and decarbonisation. It addresses policy effectiveness for controlling contamination, food fraud and waste, AI for clean air strategies, strengthening supply-chain transparency, and integrating air-quality, health and food policies for sustainable, climate-resilient transitions.
Human-AI interaction
Human-AI interaction
Led by Yuanzhu Zhan
The Human–AI Interaction theme explores how organizations can design workflows and governance mechanisms that combine human judgment with AI capabilities to create value. It addresses how complementary strengths can be achieved to transform decision-making, enhance performance, and redefine operations process in AI-enabled environments.
Join AIM LAB
AIM Lab functions through volunteer contributions of enthusiasts with steering from the Departmental Research & Knowledge Transfer committee. The extended AIM Lab community includes a growing global network of members and supporters.
To join AIM Lab is to become a member of a group of enthusiasts from a wide range of disciplines and application areas. You will have access to state-of-the-art research and collaboration opportunities. Through working together with these extraordinary individuals to harness the power of AI, we will generate great ideas to make important things happen!