Travellers' Intentions to Use Facial Recognition Systems for Authentication in Hotels

Hung-Fu Huang and Ching-Chang Lee
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Hung-Fu Huang: College of Management, National Kaohsiung University of Science and Technology, Taiwan
Ching-Chang Lee: College of Management, National Kaohsiung University of Science and Technology, Taiwan

International Journal of Information Systems in the Service Sector (IJISSS), 2022, vol. 14, issue 1, 1-15

Abstract: With the rapid development of this technology, facial recognition systems have become widely adopted in recent years. The application of the facial recognition systems by the hotel industry has resulted in a novel service model, as well as in high expectations. These systems can be used to improve conventional services and can also enhance hotel security. Based on theory, this paper employs a technology acceptance model to gain a deeper understanding of how travelers' intention to use facial recognition systems for authentication is formed. This paper employed the survey method and used data from 413 subjects to develop a model yielding results with both theoretical and management implications. These results highlight the advantages and potential commercial value of facial recognition systems, and can provide useful analysis and suggestions for the hotel industry.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jisss0:v:14:y:2022:i:1:p:1-15

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