Hyunsu Kim
Biographic Data
| ID | 3738401 |
|---|---|
| NAME | Hyunsu Kim |
| GIVEN NAMES | Hyunsu |
| FAMILY NAME | Kim |
| SIGNATURE | KIM H |
| AFFILIATIONS | The University of Sydney |
| ORCID | 0000-0003-0103-9313 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 32 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Express: Too proud to please? When and why arrogant restaurant brands win consumers over
Although arrogance is typically frowned upon in interpersonal interactions, it may signal unobservable competence. Prior research offers limited insight into when and why brand arrogance generates positive rather than negative consumer responses. Consequently, we conducted three vignette-based, between-subjects experiments with Prolific participants. Across studies, we manipulated arrogant message, brand expertise, and brand biography (top dog vs…
Enhancing the Authenticity of Artificial Intelligence (AI)-Designed Souvenirs
As artificial intelligence (AI) continues to play a growing role in souvenir design, concerns about the authenticity of AI-designed souvenirs remain a challenge in the hospitality and tourism industry. This research investigates the impact of AI-designed souvenirs, particularly focusing on art-infused ones, and on the perceived authenticity of souvenirs and purchase intention. Across two preliminary and four experimental studies, the findings dem…
Narratives of Tomorrow: Harnessing Artificial Intelligence (AI) to Encourage Tourist Support for Preservation in Tourism
Artificial intelligence (AI) offers a powerful means of envisioning the future impacts of tourism destinations. Through two rounds of focus group discussions, three experimental studies, and two supplemental studies, this research conceptualized and evaluated two types of loss-framed AI narratives using both text and visuals: deprivation of a positive future and presence of a negative one. Our results demonstrate that AI narratives depicting the …
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Too much may be a bad thing: The difference between challenge and hindrance job demands
Another’s voice
This study examines the interactional functions of an evidential marker -tay in the Korean language. Despite the frequent use of -tay in everyday interactions, the role of this marker in spoken communication has not been sufficiently explored, compared to other Korean quotative expressions. By analysing telephone conversations, this study shows that -tay conveys not only another’s utterances but also indicates interaction-oriented functions in va…
Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis
Service robots: Applying social exchange theory to better understand human–robot interactions
Inter-Annual and Seasonal Variations of Water Quality and Trophic Status of a Reservoir with Fluctuating Monsoon Precipitation
Long-term evaluation from 2000 to 2020 of a temperate reservoir indicated that water quality and trophic status were not critically controlled by the inter-annual dynamics of monsoon precipitation. The fluctuation of annual concentrations of TP, TSS, and EC did not always correlate with the variation of precipitation. BOD and COD demonstrated monotonically increasing trends with Sen's slope of 0.02 and 0.01, respectively, while Chl- a manifested …
Self-voice '-' in the Korean language
Why travelers prefer humans over artificial intelligence (AI): Developing and testing an AI aversion model in tourism
Service robots: Applying social exchange theory to better understand human–robot interactions
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Self-voice '-' in the Korean language
Why travelers prefer humans over artificial intelligence (AI): Developing and testing an AI aversion model in tourism
Self-voice '-' in the Korean language
Inter-Annual and Seasonal Variations of Water Quality and Trophic Status of a Reservoir with Fluctuating Monsoon Precipitation
Long-term evaluation from 2000 to 2020 of a temperate reservoir indicated that water quality and trophic status were not critically controlled by the inter-annual dynamics of monsoon precipitation. The fluctuation of annual concentrations of TP, TSS, and EC did not always correlate with the variation of precipitation. BOD and COD demonstrated monotonically increasing trends with Sen's slope of 0.02 and 0.01, respectively, while Chl- a manifested …
Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis
Service robots: Applying social exchange theory to better understand human–robot interactions
Another’s voice
This study examines the interactional functions of an evidential marker -tay in the Korean language. Despite the frequent use of -tay in everyday interactions, the role of this marker in spoken communication has not been sufficiently explored, compared to other Korean quotative expressions. By analysing telephone conversations, this study shows that -tay conveys not only another’s utterances but also indicates interaction-oriented functions in va…
Too much may be a bad thing: The difference between challenge and hindrance job demands
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), thr…
Express: Too proud to please? When and why arrogant restaurant brands win consumers over
Although arrogance is typically frowned upon in interpersonal interactions, it may signal unobservable competence. Prior research offers limited insight into when and why brand arrogance generates positive rather than negative consumer responses. Consequently, we conducted three vignette-based, between-subjects experiments with Prolific participants. Across studies, we manipulated arrogant message, brand expertise, and brand biography (top dog vs…
Enhancing the Authenticity of Artificial Intelligence (AI)-Designed Souvenirs
As artificial intelligence (AI) continues to play a growing role in souvenir design, concerns about the authenticity of AI-designed souvenirs remain a challenge in the hospitality and tourism industry. This research investigates the impact of AI-designed souvenirs, particularly focusing on art-infused ones, and on the perceived authenticity of souvenirs and purchase intention. Across two preliminary and four experimental studies, the findings dem…
Narratives of Tomorrow: Harnessing Artificial Intelligence (AI) to Encourage Tourist Support for Preservation in Tourism
Artificial intelligence (AI) offers a powerful means of envisioning the future impacts of tourism destinations. Through two rounds of focus group discussions, three experimental studies, and two supplemental studies, this research conceptualized and evaluated two types of loss-framed AI narratives using both text and visuals: deprivation of a positive future and presence of a negative one. Our results demonstrate that AI narratives depicting the …
Tourism (6 works) · AI in Service Interactions (5 works) · Psychology (4 works) · Computer Science (3 works) · Digital Marketing and Social Media (3 works) · Hospitality (3 works) · Hospitality industry (3 works) · Social Psychology (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Behavioral Health and Interventions (2 works)