Risk management in global supply chains (Management) VILNIUS TECH

Overview

Research topic description: Global supply chains are a key driver of the modern economy. Still, their international nature and high dependence on various factors, such as geopolitical events, climate change, technological disruptions, and economic crises, make them highly vulnerable. This is also supported by supply chain disruptions in recent years related to pandemics and geopolitical tensions, which have highlighted the need to better understand the sources of risk and manage them more effectively to ensure the continuity and resilience of global supply chains. Despite efforts to balance supply chains, risk management practices remain dominated by approaches that fail to effectively predict risks due to data fragmentation and a lack of tools for their analysis, lack an integrated approach, and pay insufficient attention to the systemic strengthening of supply chain resilience.

The dissertation aims to develop and practically apply a systemic risk management model for global supply chains to reduce their vulnerability and ensure continuity and resilience.

The results of this dissertation could be used:

- to conduct an empirical analysis showing which segments of global supply chains are the most vulnerable; 

- to develop a decision-making tool that helps supply chain managers analyse and manage risks in real-time; 

- to develop an integrated risk management model that assesses various types of risks (operational, financial, geopolitical, environmental, etc.) and their impact on global supply chains; 

- to develop recommendations for risk reduction based on practical prevention, adaptation, and recovery solutions.

This dissertation would contribute significantly to the theory of global supply chain risk management by integrating technological solutions and applying a systemic approach to the object under analysis. At a practical level, the proposed models and tools could be applied in various sectors to ensure the stability and resilience of supply chains even under conditions of uncertainty.

The selected candidate will work on the PhD thesis under the supervision of Prof. Dr. Ieva Meidutė-Kavaliauskienė. The successful applicant will have to attend scientific conferences, meetings, and internships at other universities. 

Requirements:

• Required background: master's degree in social sciences (economics, business management).

• Expected skills and knowledge: 

o Experience in supply chain management, logistics, or risk management is preferred.

o Ability to conduct research, including qualitative and quantitative methods, and use analytical tools.

o Ability to use analytical and risk management technologies (big data, artificial intelligence).

o Excellent knowledge of English for conducting and publishing research.

o Personal qualities and motivation.

It is a prerequisite you can be present at and accessible to the institution daily.

Shortlisted candidates will be invited for an interview. The position may not be opened if no qualified candidate is found. Additional information regarding the post may be obtained from Prof. Dr. Ieva Meidutė-Kavaliauskienė, e-mail: ieva.meidute-kavaliauskiene@vilniustech.lt