Oscar (Hengxuan) Chi University of Florida

Oscar (Hengxuan) Chi

Assistant Professor

h.chi@ufl.edu
  • Gainesville FL UNITED STATES
  • College of Health and Human Performance

Oscar (Hengxuan) Chi studies the impact of technology, especially AI, on the delivery of services in hospitality and tourism.

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Biography

Oscar (Hengxuan) Chi is an assistant professor in the Department of Tourism, Hospitality and Event Management in the College of Health and Human Performance. He is interested in the impact of technology, especially artificial intelligence, on the delivery of services. His research focuses on preserving and promoting well-being and sustainability in hospitality and tourism service environments. His long-term research objective aims to seek a balance between technology and human contribution in the service industry.

Areas of Expertise

Well-being and Sustainability
AI in event services
AI in hospitality
Artificial Intelligence
AI in tourism
Customer Behavior
Information Processing

Articles

Impact of the COVID-19 pandemic on management-level hotel employees’ work behaviors: Moderating effects of working-from-home

International Journal of Hospitality Management

Oscar Hengxuan Chi, et al.

2021-07-12

This study examines the effects of working-from-home during the COVID-19 pandemic on management-level hotel employees’ work engagement, burnout, and turnover intentions. The study demonstrates that working-from-home tends to be a double-edged blade that leads to both positive and negative employee behavioral outcomes.

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An examination of critical determinants of carbon offsetting attitudes: the role of gender

Journal of Sustainable Tourism

Gregory Denton, et al.

2021-05-07

Utilizing two studies, determinants of travelers’ carbon offsetting attitudes and the role that gender plays in cognitive appraisal and attitude formation are examined by exploring the interactions between knowledge, credibility, and trust and their relative impacts on behavioral intentions. Findings suggest that objective knowledge, subjective knowledge, trust and credibility impact attitudes in dramatically different degrees.

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Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (AI) social robots in service delivery

Computers in Human Behavior

Oscar Hengxuan Chi, et al.

2021-01-29

This study develops and validates a scale of Social Service Robot Interaction Trust that measures consumers’ trust toward interaction with AI social robots in service delivery.

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Media

Languages

  • English

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