Key details
Mao (Maggie) Xu
Lecturer in Business Operations and Supply Chain Management
Mao (Maggie) is a researcher specialising in secondary data analysis with a focus on operations and supply chain management. Her research interests also encompass sustainability fraud, business crises, and social media data analytics. Prior to joining the University of Greenwich (UoG), Maggie obtained her doctoral degree in Logistics and Operations Management from Cardiff Business School. Her PhD research is titled “Exploring the Response and Performance of the Aviation Supply Chain and Ecosystem in Times of Crisis”. Maggie also holds a master’s degree in Management with Business Finance (Distinction) from the University of York.
Responsibilities within the university
Teaching
Maggie leads the module MARK1189 – Procurement and Supply Management and BUSI1745 E-business and International Supply Chain Management.
Research
Maggie is a co-organiser of the special interest group of Business Analytics and a member of Early Career Networks (ECR) and Networks Urban Systems Centre (NUSC).
Supervision
Maggie supervises PhD students in the areas of retired battery sustainability and urban air mobility, and also supervises MA students on logistics & supply chain management and international business projects.
Research / Scholarly interests
- Business Crisis and Operation
- Operations Management
- Supply Chain Tracking and Management
Key funded projects
Circular Economy Innovations for Resilient, Competitive and Sustainable Battery Technologies (CIRCUBATT) (January 2025 – December 2027), Funded by Horizon Europe, €5M (UoG €1.3M), Grant No. 101192383.
Professor Li Zhou (PI), Dr. Hetty Wenxian Sun (Co-I, Operational Lead and Researcher), Dr. James Quang Huy Duong (Co-I, Researcher), Dr. Maggie Mao Xu (Co-I, Researcher), Dr. Carlos F.D.A. Arranz (Co-I, Researcher), Professor Petros Ieromonachou (Core Advisor).
Recent publications
Article
Xu, Mao , Duong, Quang Huy, Arranz, Carlos Fernandez De Arroyabe, Sun, Wenxian , Zhou, Li (2026), Developing a holistic circular business model framework for the EV battery closed-loop supply chain: a data-driven approach. Elsevier. In: , , , . Elsevier, Technovation, 152: 103487 ISSN: 0166-4972 (Print), 1879-2383 (Online) (doi: https://doi.org/10.1016/j.technovation.2026.103487).
Duong, Quang Huy , Arranz, Carlos F.A, Xu, Mao, Zhou, Li , Sun, Wenxian (2025), Towards Web3- and metaverse-enabled decentralisation of electric vehicle battery closed-loop supply chains: insights from advanced text mining techniques. Elsevier. In: , , , . Elsevier, Transportation Research Part E: Logistics and Transportation Review, 206: 104583 ISSN: 1366-5545 (Print), 1878-5794 (Online) (doi: https://doi.org/10.1016/j.tre.2025.104583).
Xu, Mao , Tse, Ying Kei, Geng, Ruoqi, Liu, Zhenyuan , Potter, Andrew (2025), Greenwashing and market value of firms: an empirical study. Elsevier. In: , , , . Elsevier, International Journal of Production Economics, 284: 109606 ISSN: 1873-7579 (Print), 0925-5273 (Online) (doi: https://doi.org/10.1016/j.ijpe.2025.109606).
Ding, Juling , Xu, Mao (Maggie), Tse, Ying Kei, Lin, Kuo-Yi , Zhang, Minhao (2023), Customer opinions mining through social media: insights from sustainability fraud crisis - Volkswagen emissions scandal. Taylor and Francis Group - Taylor and Francis. In: , , , . Taylor and Francis Group - Taylor and Francis, Enterprise Information Systems, 17: 2130012 (8) ISSN: 1751-7575 (Print), 1751-7583 (Online) (doi: https://doi.org/10.1080/17517575.2022.2130012).
Li, Xinwei , Zeng, Wenjuan, Xu, Mao (Maggie) (2022), The moderating role of IT capability on Green Innovation and ambidexterity: towards a corporate sustainable development. MDPI. In: , , , . MDPI, Sustainability, 14: 16767 (24) . pp. 1-20 2071-1050 (Online) (doi: https://doi.org/10.3390/su142416767).
Li, Xinwei , Xu, Mao (Maggie), Zeng, Wenjuan, Tse, Ying Kei , Chan, Hing Kai (2022), Exploring customer concerns on service quality under the COVID-19 crisis: a social media analytics study from the retail industry. Elsevier. In: , , , . Elsevier, Journal of Retailing and Consumer Services, 70: 103157 . pp. 1-15 ISSN: 0969-6989 (Print), 1873-1384 (Online) (doi: https://doi.org/10.1016/j.jretconser.2022.103157).