Tae-Kyung Kim

Papers

Total Citations

150

H-Index

About

Tae-Kyung Kim is a leading researcher at the intersection of artificial intelligence, service automation, and sustainable hospitality. Her work critically examines how emerging technologies—particularly chatbots, robots, and AI-driven systems—reshape customer experiences and operational strategies in the service industry. Kim’s most cited paper (86 citations) investigates how AI chatbots compare with self-service technology for sustainable hotel services, revealing crucial insights into customer adoption and service innovation. Her subsequent work on RAISA (Robots, Artificial Intelligence, and Service Automation) in hospitality, which analyzes YouTube streaming data through sentiment analysis (64 citations), demonstrates her innovative methodological approach to understanding real-world consumer reactions to automation. Kim’s research is notable for bridging the gap between technological implementation and human-centered service design, offering practical guidance for hotels seeking competitive advantages through sustainable automation. Her contributions are particularly valuable for students and practitioners navigating the complex transition toward AI-enhanced hospitality, as she provides evidence-based frameworks for balancing efficiency gains with customer comfort and satisfaction.