Gabriela Scur

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About

Gabriela Scur is a leading researcher in operations strategy and manufacturing technologies, with a particular focus on how emerging automation reshapes competitive priorities in industrial settings. Her most-cited work, a 2020 case study of an automotive supplier, examines the impact of collaborative robots on key performance dimensions such as cost, quality, flexibility, and delivery. This study provides critical empirical evidence on how cobots can align with or disrupt traditional operations strategies, offering actionable insights for firms navigating Industry 4.0. With 14 citations, this paper has become a reference point for scholars and practitioners exploring the intersection of human-robot collaboration and strategic manufacturing decisions. Scur’s research bridges the gap between theoretical frameworks and real-world implementation, helping organizations understand that technology adoption must be carefully matched to competitive goals. Her work is particularly valuable for students and researchers in operations management, industrial engineering, and innovation studies, as it demonstrates how structural choices—like automation—can either reinforce or undermine a firm’s long-term competitive advantage. Through detailed case analysis, Scur continues to shape the conversation on sustainable manufacturing in an era of rapid technological change.