Papers
1
Total Citations
36
H-Index
1
About
Xiaofei Li is an emerging scholar whose research sits at the intersection of hospitality technology, human-robot interaction, and service management. Drawing on frameworks such as the Service Robot Acceptance Model, Li's work investigates how functional and social-emotional factors shape consumer trust and rapport in automated hotel service environments — questions of growing urgency as the hospitality industry accelerates its adoption of robotic technologies. His most-cited work, "Understanding Trust and Rapport in Hotel Service Encounters" (2024), has already garnered 36 citations, a remarkable achievement for a recently published study that signals strong resonance within the hospitality and technology management communities. By extending established theoretical models, Li illuminates the nuanced psychological mechanisms that determine whether guests genuinely embrace service robots or resist them — insights with direct implications for hotel operators designing AI-driven guest experiences. His contributions help bridge the gap between theoretical acceptance frameworks and real-world service design, equipping industry practitioners and fellow researchers with evidence-based guidance. As robotics and artificial intelligence continue reshaping the service landscape, Li's scholarship positions him as a valuable voice in shaping how hospitality embraces these transformative innovations responsibly and effectively.
Research Focus
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Top Papers
- 1