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Dr George Mingze Xu

Dr George Mingze Xu

  • Position: Research Fellow
  • Areas of expertise: Operations & Supply Chain Management; Empirical Research; Quantitative Methods; Natural Language Processing; Machine Learning Applications
  • Email: M.Xu1@leeds.ac.uk
  • Website: | LinkedIn

Profile

Mingze Xu (George) is a Leeds University Business School research fellow. He is currently working on research projects regarding the use of digital technologies (e.g., blockchain, artificial intelligence) aim to improve transparency and traceability and to understand how the use of different technologies can drive ESG (Environmental, Social and Governance) and financial performance of firms and their supply chain partners.

George obtained his PhD from the Hong Kong Polytechnic University (PolyU) in 2023. During his PhD, he explored the topic of event study analytics and operations management. Specifically, he researched whether and how sustainability reporting affects manufacturing firms’ operations. Beyond this, a new approach, EventMining, has been developed for gaining insights into multiple events and advancing event studies, using natural language processing and machine learning techniques. A system of data-driven event analytics has been developed to more effectively understand the impact of events and reduce human intervention. While studying at PolyU, he was granted the HKSAR Government Scholarship Fund - Reaching Out Award. He was also selected as a hall tutor to collaborate with the student affairs office to provide mentoring for students with various cultures and backgrounds.

Research interests

His research interests cross multiple disciplines, e.g., sustainable supply chain management, machine learning & natural language processing applications and healthcare operations management. His works appear at academic journals and conferences, such as the Journal of Consumer Behaviour (JCB, ABDC-A) and Academy of Management (AOM), the European Operations Management Association Conference (EurOMA) and the Production and Operations Management Society Conference (POMs). He is currently developing a strong pipeline of manuscripts for reputable journals.

He has been a reviewer for academic journals and conferences, such as the Academy of Management Review, Academy of Management Proceedings, European Operations Management Association, Information Sciences, IEEE Transactions on Engineering Management, IEEE Transactions on Systems, Man and Cybernetics: Systems, International Journal of Production Research, International Journal of Shipping and Transport Logistics, Transportation Research Part E: Logistics and Transportation, etc.

Qualifications

  • PhD. The Hong Kong Polytechnic University.

Professional memberships

  • Academy of Management (AOM)
  • European Operations Management Association (EurOMA)
  • Production and Operations Management Society (POMs)

Student education

George is trained in management theory and artificial intelligence methods. He has taught a course at the Hong Kong Polytechnic University to facilitate business students on how to use Python to solve management problems.

Research groups and institutes

  • Centre for Operations and Supply Chain Research