I focus on developing and applying arificial intelligence models to enhance operations and supply chain management. I am currently a Research Fellow at Leeds University Business School. I obtained my PhD degree at Hong Kong Polytechnic University(HKPolyU) and completed AI course and projects at The Hong Kong University of Science and Technology (HKUST). During my master studies at Macau University of Science and Technology, I worked on projects related to supply chain relationship.

I am particularly interested in sustainable operations management, natural language processing (NLP) and machine learning applications, healthcare operations, fashion business and supply chain, supply chain innovation, etc. I work closely with my collaborators Prof Christina Wong at HKPolyU, Prof Chee Yew Wong at LUBS, and Prof Kevin Linderman at Penn State University.

🔥 News

  • 2024.03:  🎉🎉 A methodology paper is accepted at AOM 2024 . Look forward to seeing you all in Chicago!
  • 2024.02:  🎉🎉 A paper is accpeted at EurOMA 2024. Look forward to seeing you all in Barcelona!

📝 Working projects

R&R 2024
sym

Better to Talk More? The Impact of Sustainability Reporting on Productivity and Market Response from Signaling and Stakeholder Perspectives

Mingze Xu, Christina Wong, Chee Yee Wong, Sakun Boon-itt

  • Presented at AOM 2020, EurOMA 2020
  • Revise & Resubmit at International Journal of Operations & Production Management.
  • Methodology Feature: Event study using Secondary data

📝 Published projects

JCB 2021
sym

From corporate environmental responsibility to purchase intention of Chinese buyers: The mediation role of relationship quality

Mingze Xu, Ivan Ka Wai Lai, Huajun Tang

  • Journal of Consumer Behaviour. 2021.
  • Methodology Feature: Survey methodology using primary data.
  • This study explores the mediating effects of relationship quality between supplier CER and BRPI.

Sustainable OM & Fashion SCM

Healthcare OM & SCM

AI-OSCM Methods