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About

Tung-Ju Wu is an emerging scholar whose research sits at the dynamic intersection of human-robot collaboration, hospitality management, and organizational behavior. With a focused research agenda centered on how technological integration reshapes the workplace experiences of frontline hotel employees, Wu has made significant contributions to understanding the psychological and behavioral dimensions of the human-robot interface in service industries. Wu's most influential work examines how work autonomy within human-robot collaborative environments influences hotel employees' well-being and job performance, drawing on concepts such as job insecurity and person-job fit — a paper that has already garnered an impressive 100 citations since its 2023 publication. Building on this foundation, Wu further explored the motivational pathways through which employee attitudes toward human-robot collaboration drive positive workplace behaviors, accumulating 43 citations in just one year. Most recently, Wu's research has investigated behavioral change mechanisms through a dual-path theoretical lens, advancing event strength as a critical explanatory construct. Collectively, Wu's work offers timely and practical insights for hospitality organizations navigating rapid technological transformation, positioning them as a rising voice in the fields of technology management, employee psychology, and service innovation.