Sara Jebbor

Papers

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About

Sara Jebbor is an emerging researcher in operations management and decision science, with a focus on the strategic adoption of digital technologies in manufacturing. Her work centers on the intersection of Industry 4.0, hesitant fuzzy logic, and multi-criteria decision-making, particularly within the automotive sector. In her most-cited paper, "Digital Technologies Selection under Hesitant Fuzzy Information: The Case of the Automotive Sector" (2023), Jebbor addresses a critical challenge for industrial firms: how to systematically evaluate and select among competing digital innovations—from robotics to big data analytics—under uncertainty. By applying hesitant fuzzy sets to capture expert ambiguity, she provides a robust framework for technology adoption that helps companies navigate the complexities of digital transformation. Though early in her career, her research has already garnered attention, with her top-cited work accumulating citations that signal growing interest among scholars and practitioners alike. Jebbor’s contributions offer practical guidance for industries striving to implement Industry 4.0 principles, positioning her as a promising voice in the field of industrial engineering and decision analytics.