Adil Elfakir
Papers
1
Total Citations
2
H-Index
1
About
Adil Elfakir is a researcher at the forefront of digital transformation and decision-making in industrial contexts, with a particular focus on the automotive sector. His work centers on the strategic selection and integration of Industry 4.0 technologies—including big data, mobile communications, and robotics—into modern manufacturing environments. Elfakir’s most cited paper, "Digital Technologies Selection under Hesitant Fuzzy Information: The Case of the Automotive Sector" (2023), addresses a critical challenge: how industrial companies can systematically evaluate and adopt emerging digital tools amid uncertainty. By applying hesitant fuzzy information theory, he provides a robust framework for prioritizing technologies that align with operational goals, offering practical guidance for firms navigating the complexities of digital transformation. This contribution has already garnered attention, with 2 citations in its early publication period, signaling growing influence in the field. Elfakir’s work bridges theoretical rigor and real-world application, making him a valuable voice for researchers and practitioners alike who seek to understand how industries can effectively transition to the smart factories of the future.
Research Focus
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Top Papers
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