Dr. Chunyu Xiu

Profile

I am a lecturer in Human Resource Analytics in the People, Work and Employment (PWE) Department and a member of the Centre for Employment Relations Innovation and Change. Prior to joining Leeds University Business School in April 2024, I completed my PhD at the University of Liverpool Management School and became an Associate Fellow of Advance HE in 2021. I am a reviewer for academic journals and conferences, such as International Journal of Human Resource Management and Academy of Management Proceedings.

I served as a Principal Investigator and have completed a research project funded by an NHS Foundation Trust: “The Longitudinal Study of Control-Focused Attribution: Diminishing the Positive Effects of High-Performance Work Systems on Employee Wellbeing Over Time in the UK Healthcare System” (2021-2023). I was also the Principal Investigator for a funded research project: “Analysing the Time-lagged Effects of Performance-Based Pay on Employee Performance in Serbian Zijin Copper” (2020-2022).
 

Responsibilities

• Deputy Programme Leader, MSc Data Analytics and Human Resource Management

Research interests

My current research interests cover two different areas:
•    HR Attributions 
•    Disruptive Technologies Adoption in HRM

My primary research interest lies in understanding how employees' perceptions and attributions of HR practices influence their attitudes and behaviours within the workplace. Specifically, I am interested in exploring the antecedents and consequences of employees' interpretations of HR practices on key outcomes such as employee performance and wellbeing. Additionally, my research explores the influence of alignment between line managers and HR managers on employees’ collective attributions and perceptions within a team or work-unit.

My second research interest primarily investigates how disruptive technologies such as Artificial Intelligence (AI), blockchain, big data analytics, and virtual reality (VR) adoption affect firms’ performance and explores how HR practices are related to these adoptions. One of my research projects exploring the mitigating role of blockchain in a COVID-19 context was published in the International Journal of Operations & Production Management. This research represents one of my earliest empirical studies focusing on how firms can deploy disruptive technology to survive in the dynamic COVID-19 context. It underscores the critical need for both practitioners and academics to recognise the significance of adopting emerging technologies in times of crisis.
 

Qualifications

• PhD in Management Studies (2024, Fully-funded at University of Liverpool)
• MRes in Research Methodology (2019, University of Liverpool)
• MLitt in Human Resource Management (2017, University of St Andrews)

Professional memberships

• Academy of Management
• European Association of Work and Organizational Psychology
• International Association for Chinese Management Research

Student education

 LUBS1185 - Understanding Statistics     
 LUBS2095 - Understanding Data in Social Sciences   
 LUBS3185 - People Analytics: Strategy and Practice   
 LUBS5307M - HRM Research Methods    
 LUBS5322M - Strategic HRM    
 LUBS5342M - People Analytics: Strategy and Practice   
 LUBS5348M - HR Analytics Research Methods & Dissertation Project