Eric Ho
Papers
1
Total Citations
2
H-Index
1
About
Eric Ho is a pioneering researcher at the intersection of technology adoption and service management, with a primary focus on human-robot interaction in hospitality and organizational behavior. His work critically examines the psychological and contextual factors that shape employees’ willingness to collaborate with service robots, particularly in restaurant settings. Ho’s most cited study, “Exploring the factors influencing employees’ intention to work with service robots in restaurants: an fsQCA approach” (2025), introduces a novel methodological lens—fuzzy-set Qualitative Comparative Analysis (fsQCA)—to uncover the complex, nonlinear pathways that drive technology acceptance. This approach moves beyond traditional linear models, revealing how combinations of trust, job security concerns, and organizational support jointly influence adoption. Though early in its citation trajectory (2 citations), the paper has already sparked discussion in human-robot collaboration and service automation circles. Ho’s contributions are notable for bridging theoretical frameworks from organizational psychology with practical insights for the rapidly automating service industry. His work is essential reading for scholars and practitioners seeking to understand not just whether, but why and under what conditions employees embrace robotic coworkers.
Research Focus
Key Achievements
Top Papers
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