Title of Paper

The Robot Workforce and Technology Response to the Pandemic

Author Bios (50 Words for each Author)

Hanyoung Go, Ph.D., is an adjunct professor of Hospitality, Restaurant and Tourism Management program at University of Nebraska-Lincoln. Her research focuses on the impact of technology on tourist experiences. Her work in tourism has addressed tourist perception and spatial experiences through AI robots with machine learning, 3D virtual environments and social media.

Myunghwa Kang, Ph.D., is an associate professor in Hospitality, Restaurant, and Tourism Management at the University of Nebraska-Lincoln, U.S.A. Her research focuses on the application of data analytics to data driven decision making in hospitality marketing; the use of artificial intelligence (AI) and robotics in hospitality operations; human- human-robot interaction to increase social and emotional experiences for tourists.

Abstract (150 Words)

This paper aims to provide a perspective for extensive service robot usages in terms of technological responses that deal with tourism changes and challenges from the pandemic. This study investigated technology responses in the current pandemic situations and developed a response map including some directions for post-action plans in tourism research and practice. The findings capture the current technology responses of major tourist cities toward this outbreak. Tracing and early detecting individual visitors using technology responses such service robot workforce and blockchain technology based on big data network systems are key methods to slow the spread of the contagious virus before effective vaccine and clinical treatments are prepared. Most tourism cities are expected to face a post-tourism situation after such pandemics. When effective strategies to treat this pandemic or other pandemics are developed, tourism businesses can be prepared to manage the outbreak and minimize any losses.

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The Robot Workforce and Technology Response to the Pandemic

This paper aims to provide a perspective for extensive service robot usages in terms of technological responses that deal with tourism changes and challenges from the pandemic. This study investigated technology responses in the current pandemic situations and developed a response map including some directions for post-action plans in tourism research and practice. The findings capture the current technology responses of major tourist cities toward this outbreak. Tracing and early detecting individual visitors using technology responses such service robot workforce and blockchain technology based on big data network systems are key methods to slow the spread of the contagious virus before effective vaccine and clinical treatments are prepared. Most tourism cities are expected to face a post-tourism situation after such pandemics. When effective strategies to treat this pandemic or other pandemics are developed, tourism businesses can be prepared to manage the outbreak and minimize any losses.