Artificial Intelligence for innovative, sustainable and inclusive futures

Human hand touching a transparent screen on one side, with a robotic hand touching the screen on the other. The screen says "AI" in the middle

Description

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

Headshots of (top row) Simon Van Baal, Chee Yew Wong, Hutan Ashrafian, Lynda Song, (bottom row) Xingjie Wei, Krsto Pandza and John Palfreyman

 

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  
  • Li, Z., Stamolampros, P., & Zhao, X. 2025. ESG practices through the lens of employees in hospitality: Insights from employee-generated data. International Journal of Hospitality Management, 124, 103992.

 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 
  • Li, Z., Stamolampros, P., & Zhao, X. (2024). Dynamics in the asymmetric effects of job attributes on employee satisfaction: A mixed-method approach using big data. Tourism Management, 105, 104967.

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

Contact

If you would like to get in touch about any of the above research on Artificial Intelligence, contact research.lubs@leeds.ac.uk.