Staff Profile

Xiaotian joined Newcastle University Business School in August 2024 as a Lecturer in Operations and Supply Chain Management. His research primarily revolves around the digital transformation of supply chains, with a focus on how advanced digital technologies create new competitive advantages and dynamic capabilities for organizations. He is particularly interested in addressing the challenges of the current industrial revolution, with a specific emphasis on ethical, human-centric development of digital and industrial technologies, as well as preparing supply chains for the transition from Industry 4.0 to Industry 5.0.

An active researcher, Dr Xiaotian Xie publishes in renowned journals journals such as Production Planning and Control and Technological Forecasting and Social Change. Before joining Newcastle University, he worked at the University of Surrey as a research fellow, where he was affiliated with the DECADE project, contributing to research on the impact of digital technologies on operations and supply chain management.

Roles and Responsibilities

• Lecturer in Operations and Supply Chain Management

Qualification

• 2023 PhD in International Logistics, Supply Chain and Shipping Management, University of Plymouth
• 2017 MSc in International Logistics and Supply Chain Management, University of Plymouth

Current Work

I am currently focused on the challenges and facilitators associated with adopting and governance blockchain technology within supply chains.

Research Interests

• Sustainability Supply Chain Management
• Digital supply chain management
• Supply chain risk and resilience
• Digital transforamtion
• Human-Centric Digital Transformation

NBS8342 Sustainable Supply Chain Management

• Articles

  • Zhao G, Liu S, Wang Y, Lopez C, Zubairu N, Chen X, Xie X, Zhang J. Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France. Production Planning & Control 2024, 35(3), 283-307.
  • Zhao G, Xie X, Wang Y, Liu S, Jones P, Lopez C. Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach. Technological Forecasting and Social Change 2024, 203, 123345.

• Conference Proceedings (inc. Abstracts)

  • Zhao G, Chen X, Liu S, Xie X. The application of digital technologies in the agri-food supply chain of China: enablers identification and prioritization. In: 9th International Conference on Decision Support System Technology. 2023, Albi, France: Working Group on Decision Support Systems within EURO: the Association of the European Operational Research Societies.
  • Xie X, Parry G, Altrichter B. Factors influencing the implementation success of blockchain technology: A systematic literature review. In: International Conference on AI and the Digital Economy (CADE 2023). 2023, Venice, Italy; Hybrid: IET.