Dr. Yangchun (Chris) Xiong
Lecturer in Operations Management

Profile

Biography

Dr Yangchun (Chris) Xiong is a Lecturer (Assistant Professor) in Operations Management at the University of York. His research focuses on two areas: (1) the adoption of disruptive technologies (e.g., AI, blockchains, big data analytics, VR) in operations management, and (2) sustainability in supply chain management.

Yangchun Xiong has a keen interest in using econometric methods, such as event studies and the difference-in difference model. His work has been published in leading operations and supply chain management journals, including the Journal of Operations Management (UTD24, FT50, ABS 4*), the International Journal of Operations & Production Management (ABS 4), the International Journal of Production Economics (ABS 3), and Transportation Research Part E: Logistics and Transportation Review (ABS 3), and other leading management journals.

Dr Yangchun (Chris) Xiong also serves as an Editorial Review Board Member of the International Journal of Operations & Production Management (ABS 4). He is also Deputy Chair of the N8 Operations and Supply Chain Management Research Seminar Series and a Board Member of SATSU at the University of York.

Research

Overview

Yangchun’s current research focuses on two main areas: disruptive technology adoption and sustainability in supply chain management.

His first research theme investigates how disruptive technologies, including blockchain, artificial intelligence, big data analytics and virtual reality, support firms’ operations and supply chain practices. For example, one of his studies published in the International Journal of Operations & Production Management (ABS 4) examined how blockchain-supported supply chains helped firms mitigate the negative financial effects caused by the COVID-19 pandemic. Building on this work, his more recent research moves beyond disruption response to examine how specific blockchain applications generate operational benefits. His study on blockchain-enabled smart contracts, published in the Journal of Operations Management (UTD24, FT50, ABS 4*), demonstrates how this technology improves firms’ operational efficiency.

His second research theme focuses on sustainability challenges in operations and supply chain management. For example, one of his studies published in Transportation Research Part E: Logistics and Transportation Review (ABS 3) investigated how focal firms’ environmental violations affect the market value of their supply chain partners. Extending this research to social sustainability, his work published in the International Journal of Operations & Production Management (ABS 4) examined market reactions to disclosures of labour exploitation and demonstrated how the reach and framing of information  intermediaries shape investor responses. 

Yangchun welcomes PhD applications and opportunities for collaborative PhD supervision in these two research areas, as well as projects applying relevant quantitative research methodologies to operations and supply chain management.

Teaching

Undergraduate

Yangchun teaches across undergraduate and postgraduate programmes in the areas of operations management, supply chain management, information systems and business analytics.

At the undergraduate level, he contributes to the following modules:

• Management Information Systems 
• Supply Chain Management

Postgraduate

At the postgraduate level, he teaches:

• Dissertation in Business Analytics (Applied)

Yangchun currently supervises three PhD students whose research relates to blockchain and AI in operations and supply chain management.

Publications

Full publications list

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