Quang (James) Huy Duong BA, MSc, MPhil, PgDip, PGCert, FHEA, PhD

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 domain of Operations and Supply Chain management in the Business, Operations and Strategy School, Faculty of Business, University of Greenwich

James 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.

Business and management

Responsibilities within the university

Teaching

James leads/teaches many modules – “Purchasing and Distribution – L5”, "Operations Management – L5” “International Logistics and Supply Chain Management – L6”, “Logistics Technologies – L7”.

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.

PhD Supervision

James is currently supervising two PhD candidates as a second supervisor in building supply chain resilience and developing user innovation platform

Research

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

Awards

Star of the Future Award (2022) – Greenwich Business School

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

Key funded projects

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.

Recent publications
  • Nguyen, Tiep, Nguyen, Truong Van, Zhou, L., Duong, Q.H., Ieromonachou, P., EU government policies for packaging recycle capacity building in response to China waste ban: A system dynamics approach, submitted to Annals of Operations Research on 30/12/2023
  • Duong, Q.H., Zhou, L., Nguyen, T. Van, Meng, M., (2023) “Understanding and Predicting Online Product Return Intention Across Different Categories: A Data Mining Approach”, working paper.
  • Duong, Q.H., Zhou, L., Meng, M., Nguyen, T. Van, (2023) “Unlocking (Un)Confirmed Product Return Behaviour: The Role of Perceived Product Quality Attributes from Online Customer Reviews”, 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.

Presentations
  • 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.
  • Duong, Quang Huy, Zhou, L., Tiep, N., Meng, M., “How Does E-retailers’ Return Policy Leniency Influence Customer Satisfaction? Evidence from Walmart marketplace”, proceedings of 2023 33rd Annual Production and Operations Management Society Conference, 21st-25th May 2023, Orlando, USA.
  • Tiep, N., Zhou, L., Duong, Quang Huy, “How to improve car resale value? Evidence from CarGurus.com”, proceedings of 2023 33rd Annual Production and Operations Management Society Conference, 21st-25th May 2023, Orlando, USA.
  • Duong, Quang Huy, Zhou, L., Nguyen, T., Meng, M., “Predicting Online Product Return Intention Across Different Categories: An Interpretable Machine Learning Approach”, proceedings of 23rd International Working Seminar on Production Economics, 14th-28th Feb 2024, Innsbruck, Austria.