Visibility Hotspot in Supply Chain

Researcher:

  • Dr. Funlade Sunmola – University of Hertfordshire, UK
  • Mr. Patrick Burgess – University of Hertfordshire
  • Associate Prof. Dr. Janya Chanchaichujit – Prince of Songkla University
  • Dr. Sreejith Balasubramanian – Middlesex University, Dubai
  • Dr. Mahmud Mustafa
  • Dr. Albert Tan – Asia Institute of Management, Philippines

Duration: January -December 2022

Status : Completed

Abstract:
       The COVID-19 pandemic has provided significant supply chain challenges for companies across sectors, including a largely negative impact on end-to-end visibility of supply chains. Supply chain visibility has been widely defined as the “traceability and transparency of supply chain processes” referring to, the extent to which actors within the chain have access to, or share, mutually benefiting information that is key or useful to their operations and supports decision making. Risks in supply chain visibility are present in day-to-day business operations. Existing risks have been amplified, and new ones have emerged from the COVID-19 Pandemic. It is becoming increasingly important to identify the risks and the associated “hotspots” that come with those risks. “Hotspots” referring to the “issues most likely to trigger punishing stakeholder reactions”. Therefore, the proposed case study takes a unit of study “visibility risks and associated hot-spots”, within a context, in this case, a “end-to-end food supply chain”, over a certain period “pre, during, and post COVID-19” is used to assess the phenomena of visibility risks and associated hotspots, that have emerged throughout the COVID-19 Pandemic within the supply chain.

       This research is aimed at investigating supply chain visibility risks and associated hotspots supply chains experience during COVID-19 Pandemic, and how the management of the risks and hotspots have developed the COVID-19 Pandemic. The data that will be used to achieve the research aim will be obtained from supply chain leaders in the food industry through a single case study approach.
For further information about the project, please contact Associate Prof. Dr. Janya Chanchaichujit.