Quang (James) Huy Duong BA, MSc, MPhil, PgDip

Lecturer in Business Operations

Key details

Quang Duong

Quang (James) Huy Duong

Lecturer in Business Operations


Quang (James) Huy Duong  is an expert on Big Data Analytics, Machine Learning/Deep Learning, Text Mining in the context of Operations and Supply Chain management in the Business, Operations and Strategy School, Faculty of Business, University of Greenwich.

James has recently completed his PhD from the University of Greenwich in 2022 and was supported by a Vice-Chancellor's Scholarship for the PhD. His topic is “Understanding and Predicting Online Customer Return Intention using Data Mining approach”. He was previously completed his MSc Management and Global Supply Chain Management with Distinction at Nottingham Trent University (2019) and Level 7 Diploma in Strategic Management and Leadership at Chartered Management Institute. He also was completed his BA Industrial Management at Ho Chi Minh University of Technology (Vietnam) in 2018. James started teaching at the University from September 2020 and started his full-time teaching role in May 2022.

Responsibilities within the university

Teaching

James leads and teaches one postgraduate module – “Logistics Technologies”

He also teaches and tutors three other undergraduate modules – "Operations Management” and "Purchasing and Distribution".

MA Supervision:

Apart from teaching, James is also supervising MA students in Logistics and Supply Chain Management with some topics about digital technologies and data analytics.

Research

James is a member of Connected Cities Research Group (CCRG) and Networks Urban Systems Centre (NUSC).

Awards

Mapping circular economy in London Borough of Hounslow (March – June, 2022)

Dr. Quang Huy Duong (James) (Co-PI), Professor Li Zhou (PI), Professor Petros Ieromonachou (Co-PI), Duy Tiep Nguyen (Key researcher), Le Thuy An Dang (Key researcher),Funded by Hounslow council.


Development of green business database in London Borough of Hounslow (March – June, 2022)

Dr. Quang Huy Duong (James) (Co-PI), Professor Li Zhou (PI), Professor Petros Ieromonachou (Co-PI), Duy Tiep Nguyen (Key researcher), Le Thuy An Dang (Key researcher),Funded by Hounslow council.

Research / Scholarly interests

  • Operations and supply chain management, especially in the context of closed-loop supply chain and reverse logistics.
  • Customer and product behaviours
  • Product returns management
  • Big data analytics and machine learning/deep learning, information system and advanced technologies.
  • Programming languages such as Python, R and SQL
  • Text mining such as Natural Language Processing
  • Predictive modelling
  • Automation Program Development

Recent publications

  • Duong, Quang Huy, Zhou, L., Nguyen, T. Van, Meng, M., “Understanding and Predicting Online Product Return Intention Across Different Categories: A Data Mining Approach”, working paper.
  • Nguyen, Tiep, Duong, Quang Huy, Nguyen, Truong Van, Zhu, You, Zhou, Li (2022), Knowledge mapping of digital twin and physical internet in supply chain management: a systematic literature review. International Journal of Production Economics, 244: 108381 ISSN: 0925-5273 (Print), 0925-5273 (Online) (doi: https://doi.org/10.1016/j.ijpe.2021.108381) NB Item availability restricted.
  • Duong, Quang Huy, Zhou, Li, Meng, Meng, Nguyen, Truong Van, Ieromonachou, Petros, Nguyen, Duy Tiep (2021), Understanding product returns: a systematic literature review using machine learning and bibliometric analysis. International Journal of Production Economics, 243: 108340 ISSN: 0925-5273 (Print), 0925-5273 (Online) (doi: https://doi.org/10.1016/j.ijpe.2021.108340) NB Item availability restricted.
  • Duong, Quang Huy, Zhou, L., Meng, M., “Exploring Online Return Behaviours Using Data Mining Approaches”, proceedings of 2021 Logistics Research Network Conference, 8-10 September 2021, Cardiff, UK.
  • Nguyen, Tiep, Nguyen, Truong Van, Zhou, L., Duong, Q.H., EU government policies for packaging recycle capacity building in response to China waste ban: A system dynamics approach, submitted to International Journal of Technology Management on 31/03/2021. 2nd round revision submitted on 15/10/2021.