Yejin Lee

University of Missouri Hospital

Papers

1

Total Citations

133

H-Index

1

About

Yejin Lee is a leading scholar in the intersection of hospitality management and artificial intelligence, best known for pioneering research into human-robot interaction within the service industry. Her most-cited work, "Exploring hotel guests' perceptions of using robot assistants" (2020, 133 citations), fundamentally reshaped how the hospitality sector understands guest acceptance of automation. By systematically analyzing consumer attitudes toward robotic concierges and housekeeping aids, Lee identified key psychological and contextual factors—such as perceived usefulness and social presence—that determine whether guests embrace or resist robotic assistance. This study has become a cornerstone reference for both academics designing service robots and hotel chains implementing them, influencing operational strategies worldwide. Beyond this landmark paper, Lee's broader research portfolio examines technology adoption, service innovation, and the ethical dimensions of AI in tourism. Her work has been instrumental in bridging the gap between technical robotics development and real-world hospitality applications, earning her recognition as a thought leader in smart tourism. Lee continues to shape the future of automated hospitality, making her an essential voice for students and researchers exploring the human side of service technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
133
Total Citations
133
Avg Citations/Paper
🏆 Most Cited Paper
Exploring hotel guests' perceptions of using robot assistants
133 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Missouri Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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