Research on Hotel Guests’ Acceptance of Face Recognition Systems Based on the UTAUT
DOI:
https://doi.org/10.18063/lne.v3i2.776Keywords:
Biometric system, Face recognition system, UTAUT, Privacy concernsAbstract
Integrating emerging technologies into the accommodation industry can provide tourists with a better experience. This paper focuses on guests’acceptance of face recognition systems in hotels and studies the influencing factors that affect guests’ choice of staying in hotels with face recognition systems. Through research and analysis, hotels can understand the needs of different guests, make improvements, and more accurately explore relevant markets. At the same time, developers of face recognition systems can also understand the market demands of the accommodation industry, providing professional advice for their entry into the tourism service industry. This paper first reviews the application of face recognition systems in the tourism industry. By combing through relevant literature on the technology acceptance model, the research model of this paper is determined, and hypotheses are proposed. Meanwhile, based on existing literature on face recognition systems, the variable of privacy and security is added to form a research model for the influencing factors of guests staying in hotels with face recognition systems. Finally, development suggestions are put forward for hotels with face recognition system technology based on the research results.
References
Höjer M, Wangel J, 2014, Smart Sustainable Cities: Definition and Challenges. ICT Innovations for Sustainability, 333–349.
Su Y, Chen Y, Chen Z, 2021, An Analysis of the Intelligent Transformation of the Hotel Industry by AI Technology. Computer Knowledge and Technology, 2021(30): 17.
Zhou C, Quan J, 2018, Research on Intelligent Hotel Management. China Business & Trade, 2018(1): 2.
Venkatesh V, Morris M, Davis G, Davis F, 2003, User Acceptance of Information Technology: Toward a Unified View. MIS Q, 27: 425–478.
Lai I, 2013, Traveler Acceptance of an App-Based Mobile Tour Guide. Journal of Hospitality & Tourism Research, 39(3): 401–432.
Xu R, 2021, Exploration of the Usage Behavior of Users of UGC-type Smart Tourism Service Platforms-Based on the UTAUT Model. Research on Economics and Management, 42(6): 13.
AL-Harby F, Qahwaji R, Kamala M, 2010, Users’ Acceptance of Secure Biometrics Authentication System: Reliability and Validate of an Extended UTAUT Model. Communications in Computer and Information Science, 2010: 254–258.
Hateftabar F, 2022, Analyzing the adoption of online tourism purchases: effects of perceived tourism value and personal innovativeness. Current Issues in Tourism, 26(11): 1861–1877.
Morosan C, 2019, Disclosing Facial Images to Create a Consumer’s Profile. International Journal of Contemporary Hospitality Management, ahead-of-print(ahead-of-print).
