Maria Lambrou
Papers
1
Total Citations
16
H-Index
1
About
Dr. Maria Lambrou is a pioneering researcher at the intersection of digital transformation and supply chain management, with a particular focus on the strategic deployment of digital twin technology. Her most-cited work, "A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology" (2024, 16 citations), exemplifies her innovative methodology. In this study, she leverages machine learning-based topic modeling to systematically analyze the scientific literature, uncovering the key areas where digital twins deliver the greatest value in supply chains. This work not only provides a data-driven roadmap for practitioners but also establishes a novel framework for prioritizing technology investments. Dr. Lambrou’s research is distinguished by its ability to bridge advanced computational techniques with practical operational challenges, offering clear insights into how digital twins can enhance visibility, resilience, and efficiency. Her contributions are particularly timely as industries seek to navigate increasing complexity and uncertainty. Through her rigorous, evidence-based approach, Dr. Lambrou is shaping the future of intelligent supply chain management, making her a vital voice for both academics and industry leaders.
Research Focus
Key Achievements
Top Papers
- 1