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Mike Tse

Professor Mike Tse

(he/him)

Users
Available for postgraduate supervision

Teams and roles for Mike Tse

Overview

My research is situated at the intersection of Operations Management and Business Analytics, focusing on risk and resilience within supply chains. I am recognised both nationally and internationally in the field of corporate risk management, addressing contemporary key challenges such as Sustainability risk, Geopolitical risk, Product Recall risk, and understanding how these risks propagate through supply chain networks and how to foster sustainable and resilient operations. In the face of uncertainties and environmental dynamism, organisations must respond innovatively to crises. I explore how risks propagate across interconnected supply chains, amplifying vulnerabilities, and how proactive strategies can mitigate these risks. My work also examines how decision-makers tackle risk events, requiring quick and effective management. 

A spin-off of my research into corporate risk management investigates new data sources, including Social Media data, assessing its potential value for managing company or supply chain crises. This is a spin-off from two of my previous projects, funded by the British Academy and Chartered Institute of Logistics and Transport.  I am at the forefront of developing a growing field around analysing such 'opinion data' to support better business decision-making in operations management. My focus is on using analytical techniques from social media data to investigate customer perceptions following a business crisis. My research covers crises such as Greenwashing Scandals, Product Recalls, the United Airlines scandal, and the Covid-19 crisis. I am passionate about how these insights can be utilised in OM decision-making, a field for which I am increasingly recognised.

Within this area, I pioneered the use of innovative research methods to examine emerging problems in risk management. Currently, I am investigating OM scandal outbreaks and remedial strategies on social media platforms by developing an innovative approach—integrating 'Eye-tracking' techniques with a scenario-based experimental approach. This allows me to investigate the cognitive processes of individuals facing public scandals and scrutinise how these influence subsequent actions.

More recently, I have focused on the impact of Geopolitical Risks on supply chain and operations strategies. With increasing global interdependencies, factors such as trade policies, economic sanctions, and political instability can significantly disrupt operations. I aim to identify innovative approaches to mitigate these risks and enhance resilience, helping organisations maintain competitive advantages in a volatile world. I explore the performance impact of severe business crises and risks across supply chains by tracing the supply chain membership of listed companies using various financial databases and examining their risk magnitude using econometric approaches.

As an educator, I am passionate about developing new interactive teaching approaches. At the very beginning of my career, while working at the Hong Kong Polytechnic University, I started designing and developing an OM simulation platform. The educational simulation games I developed ten years ago, related to Logistics and Procurement activities, are still being used in some higher education institutes. Motivated by the belief that game-based simulation teaching approaches provide an interactive platform for students to apply and test their OM knowledge in a risk-free environment. More recently, I have developed supply chain and production simulation games (web-based) to train students in Business Analytics at master's levels. I also collaborate with colleagues at other universities to develop card games for Lean Management training.

Publication

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

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2012

2011

2010

Articles

Research

Research interests

Mike's research currently focuses on Operations and Supply Chain Management (OSCM) as well as Business Analytics. He is proficient in a variety of empirical research methodologies, including surveys, econometrics, vignette-based experiments, text-mining, and case studies. Presently, he is collaborating with a former PhD student to innovate a new research method that combines the use of an eye-tracking device to collect biometric data with vignette-based experiments. He has published over 70 journal articles, and his work has garnered more than 4,800 citations on Google Scholar, achieving an h-index of 34.

Below are his main research areas:

  • Supply Chain Risk and Resilience
  • Geopolitical Risk in Supply Chain
  • Corporate Social Responsibility & Irresponsibility
  • Sustainability in Supply Chain
  • Greenwashing
  • Carbon Offsetting
  • AI Ethics
  • Human-Centred AI
  • Human-Machine Reconciles
  • Logistics and Operations in Industry 5.0
  • Eye-tracking Research
  • Social Media Analytics

 

 

Biography

Committees and reviewing

Editorial Board

  • IEEE Transactions on Engineering Management (IEEE TEM)
  • Transportation Research Part E: Logistics and Transportation Review (TRE)
  • Industrial Management & Data Systems (IMDS)
  • Enterprise Information Systems (EIS)
  • International Journal of Logistics Research and Applications (IJLRA)
  • International Journal of Productivity and Performance Management (IJPPM)

 

Associate Editor

  • Industrial Management & Data Systems (IMDS)
  • International Journal of Engineering Business Management (IJEBM)

 

Guest Editor (Current)

  • Special Issue: 'Logistics and Operations in Industry 5.0: Human-Machine Reconciles - Social-Issue Focused' at Transportation Research Part E: Logistics and Transportation Review (TRE)

 

Others

  • BBSRC UKRI Panel member

 

Supervisions

I am interested in supervising PhD students in the areas of:

  • Greenwashing
  • Carbon Offsetting
  • Carbon Neutrality in Supply Chain
  • AI Ethics
  • Human-Centred AI in Supply Chain Management
  • Geopolitical Risk in Supply Chain
  • Corporate Social Responsibility and Irresponsibility in Supply Chain
  • Quality Risk in Supply Chain
  • Risk Perception and Decision in Supply Chain
  • Cognitive Process in Corporate Decision-Making
  • Social Media Analytics
  • Eye-tracking and/or Electroencephalography (EEG) research

Past projects

Below is a list of my PhD students for whom I was the primary supervisor after I joined Cardiff University (2020). They have all since become academics at universities in the UK.

  • Xinwei Li (2024) - Thesis Title: 'How customers respond to environmental corporate social irresponsibility (CSI): an experimental vignette and eye-tracking study'
  • Mao Xu (2024) - Thesis Title: 'Exploring the response and performance of the aviation supply chain and ecosystem in time of crisis'.
  • Wenjuan Zeng (2022) - Thesis Title: 'Ambidexterity and green innovation: The moderating effect of big data analytics capability'

 

Contact Details

Email TseM1@cardiff.ac.uk
Telephone +44 29225 11764
Campuses Aberconway Building, Room E23a, Colum Road, Cathays, Cardiff, CF10 3EU