Youssef Lamrani
Papers
1
Total Citations
2
H-Index
1
About
Youssef Lamrani is a researcher focused on the intersection of digital transformation, decision-making under uncertainty, and industrial innovation, with a particular emphasis on Industry 4.0 adoption. His most-cited work, "Digital Technologies Selection under Hesitant Fuzzy Information: The Case of the Automotive Sector" (2023), tackles a critical challenge for modern manufacturing: how companies can systematically evaluate and choose among emerging digital technologies—such as big data, robotics, and mobile communications—when faced with incomplete or ambiguous information. By applying hesitant fuzzy set theory, Lamrani provides a robust framework that helps industrial firms navigate the complexities of digital transformation, especially in high-stakes sectors like automotive manufacturing. Though early in his citation trajectory, this work has already garnered attention for its practical relevance and methodological rigor. Lamrani’s contributions are particularly valuable for researchers and practitioners seeking to bridge the gap between theoretical decision models and real-world industrial implementation, offering actionable tools for selecting technologies that align with strategic goals. His research underscores the importance of structured, data-driven approaches in an era where digital adoption is no longer optional but essential for competitiveness.
Research Focus
Key Achievements
Top Papers
- 1