Wejdan Farhan

Papers

Total Citations

H-Index

About

Wejdan Farhan is a forward-thinking researcher whose work sits at the critical intersection of artificial intelligence and production and operations management (POM). Her primary research area explores how AI applications are reshaping industrial workflows, with a particular focus on whether these technologies will complement or ultimately replace human labor. In her most-cited study, Farhan employs a rigorous literature-based content analysis to assess AI’s evolving role within POM and its related fields, offering a nuanced framework for understanding the future of human-machine collaboration. Though early in her citation impact—her leading paper has garnered 2 citations—her work is already recognized for its timely and provocative inquiry into one of the most pressing questions in modern operations management. Farhan’s research provides essential insights for students and practitioners navigating the ethical and practical implications of automation, positioning her as an emerging voice in the debate over sustainable, human-centered technological adoption. Her contributions are particularly valuable for those seeking evidence-based perspectives on how AI can augment rather than supplant human expertise in production environments.