Myung‐Hwa Kang

University of Nebraska–Lincoln

Papers

1

Total Citations

192

H-Index

1

About

Myung-Hwa Kang is a pioneering researcher at the intersection of artificial intelligence, robotics, and service management, with a primary focus on tourism and hospitality. Her most influential work introduces the interactive Technology Acceptance Model (iTAM), a groundbreaking framework that explains how consumers come to accept advanced AI robots in service settings. This highly cited paper (192 citations) provides both a typology and conceptual foundation for understanding human-robot interaction in hospitality, positioning Kang as a key architect of modern service robotics theory. Beyond this landmark study, Kang's research portfolio spans consumer behavior, technology adoption, and the psychological dynamics of human-machine collaboration. Her work has been instrumental in shaping how the tourism industry approaches automation, from hotel service robots to AI-powered guest experiences. By bridging theoretical models with practical applications, Kang has helped define the cutting edge of smart hospitality research. Her contributions continue to influence scholars and practitioners navigating the complex relationship between emerging technologies and human-centered service delivery.

Research Focus

Key Achievements

1
H-Index
1
Papers
192
Total Citations
192
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge
192 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Nebraska–Lincoln

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago