Research project
Artificial Intelligence for innovative, sustainable and inclusive futures
Description
Research on Artificial Intelligence (AI) at Leeds University Business School explores how emerging technologies can shape business innovation and societal outcomes.
Our work tackles complex challenges across sectors and society, with projects that advance environmental and social risk assessment, responsible digital consumption, and the use of AI in identifying financial vulnerability and inequality.
In the business domain, our research supports corporate innovation through machine learning applications in strategy, supply chain resilience, and operational efficiency. Collaborations with industry partners help translate data-driven insights into real-world impact.
Researchers
- Dr Hutan Ashrafian – Visiting Professor of Research Impact
- Dr Aritad (Alan) Choicharoon – Lecturer in Business Analytics
- Dr Youngbin Joo - Lecturer in Strategic Management
- Professor Krsto Pandza – Professor of Strategy and Innovation
- Dr Serena Pugliese - Lecturer in Marketing
- Dr Simon van Baal – Lecturer in Behavioural Decision Making
- Professor Chee Yew Wong – Professor of Supply Chain Management
- Dr Xingjie Wei – Associate Professor in Business Analytics & Machine Learning
Research projects
Sustainability, inequalities, and societal understanding
- AI-powered sourcing tool for fashion and textile companies to assess environmental and social risks
- An Artificial Intelligence approach to financial vulnerability
- Climate change, social inequality & psychosocial wellbeing with emerging digital data – a multidisciplinary network between UK and South Korea
- Predicting inequality from digital textual data
- Promoting sustainable digital consumption in the era of AI-driven social media marketing
- Understanding the COVID 19 misinformation flow using artificial Intelligence (AI) based tools and citizen panels
Corporate innovation and digital transformation
- Establishing the feasibility of using machine learning to investigate UK company strategy and performance
- Framing the future: how AI medical device companies develop innovation capabilities and shape market narratives
- Knowledge Transfer Partnership with SR Mailing
- Knowledge Transfer Partnership with Katchr
- Knowledge Transfer Partnership with Johnson and Johnson Medical Limited: improving demand planning and forecast accuracy through digital sophistication and use of data
Journal articles
2025
- Mahmoud AB, V Kumar, Spyropoulou S. 2025. Identifying the Public's Beliefs About Generative Artificial Intelligence: A Big Data Approach, IEEE Transactions on Engineering Management.
- Bhatia S, Van Baal ST, Wang, F, Walasek, L. 2025. Computational Analysis of 100K Choice Dilemmas. Proceedings of the National Academy of Science. https://doi.org/10.1073/pnas.2406489122; https://doi.org/10.31234/osf.io/hzv7c.
- Jiang W, Feng T, Wong CY. 2025. How big data analytics capabilities drive supply chain resilience: The mediating roles of supply chain visibility and flexibility. International Journal of Physical Distribution and Logistics Management. https://doi.org/10.1108/IJPDLM-07-2024-0252
2024
- Choicharoon, A., Hodgett, R., Summers, B. and Siraj, S., 2024. Hit or miss: A decision support system framework for signing new musical talent. European Journal of Operational Research, 312(1), pp.324-337.
- Zhang, H., Joo, Y. and Pandza, K. (2024). Navigating regulatory waters: Aligning identity and technological capabilities in AI medical startups. Academy of Management Proceedings.
- Giannetti, V., Chen, J. and Wei, X. ,2024, "Actors' facial similarity and its impact on US movies' box-office performance in East and South-East Asia", International Marketing Review
2023 and earlier
- Huang, W., Vismara, S., Wei, X., 2022, Confidence and capital raising, Journal of Corporate Finance
- Yu W, Wong CY, Chavez R, Jacobs MA. 2021. Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture. International Journal of Production Economics. 236 https://doi.org/10.1016/j.ijpe.2021.108135
Other outputs
- “The hidden harms of gambling – and how to prevent them”, Dr Simon van Baal, Research and Innovation Blog, March 2025
- “AI meets healthcare: why management matters more than technology”, Professors Krsto Pandza and Hutan Ashrafian, Research and Innovation Blog, February 2025
- “DeepSeek: what you need to know about the Chinese firm disrupting the AI landscape”, The Conversation, January 2025
- Revolutionising financial decision-making with emerging technologies and interdisciplinary approaches, Dr Xingjie Wei, Research and Innovation Blog, January 2025
- “Using AI as a force for management innovation”, Professor Chee Yew Wong, Dr Josh Morton, Dr Nabi Omidvar, Professor Aristeidis Theotokis and Professor Krsto Pandza, Research and Innovation Blog, November 2024
- “The limitations and potential of AI - and the role humans have to play in its success”, Professor Aristeidis Theotokis and Rashik Parmar, Research and Innovation Podcast, November 2024
- “How close are we to an accurate AI fake news detector?”, Professor Magda Osman, The Conversation, November 2024
- “In future, we’ll see fewer generic AI chatbots like ChatGPT and more specialised ones that are tailored to our needs”, Dr Stuart Mills, The Conversation, September 2023
Contact
If you would like to get in touch about any of the above research on Artificial Intelligence, contact research.lubs@leeds.ac.uk.