Papers
2
Total Citations
37
H-Index
2
About
Dr. Ling Tan is a rising scholar in organizational behavior and service management, whose research explores the psychological and performance-related impacts of human-robot collaboration in frontline service settings. Her work critically examines how the integration of robotic coworkers reshapes employee motivation, ethical reasoning, and service outcomes. In her highly cited 2024 paper, Dr. Tan introduced a resource-based perspective to demonstrate that human-robot collaboration can enhance frontline employees’ service performance when properly managed. Her 2025 study further reveals a counterintuitive finding: working with robots may trigger moral disengagement in service employees, leading to counterproductive behaviors—a dynamic moderated by task interdependence. With over 37 total citations in just two years, her research is already influencing debates on workplace automation and employee well-being. Dr. Tan’s contributions are particularly notable for bridging human resource theory with emerging AI and robotics literature, offering practical insights for organizations navigating the future of work. Her work is essential reading for scholars and practitioners interested in the human side of technological transformation.
Research Focus
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Top Papers
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