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    The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

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    Publication date
    2022
    End of Embargo
    2023-04-30
    Author
    Gupta, S.
    Modgil, S.
    Lee, C.
    Sivarajah, Uthayasankar
    Keyword
    Artificial intelligence
    AI
    Facial recognition
    Travel and tourism industry
    Rights
    (c) 2022 SpringerNature. Full-text reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    Open Access status
    embargoedAccess
    
    Metadata
    Show full item record
    Abstract
    This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers’ needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory.
    URI
    http://hdl.handle.net/10454/18790
    Version
    Accepted manuscript
    Citation
    Gupta S, Modgil S, Lee C et al (2022) The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry. Information Systems Frontiers.
    Link to publisher’s version
    https://doi.org/10.1007/s10796-022-10271-8
    Type
    Article
    Notes
    The full-text of this article will be released for public view at the end of the publisher embargo on 30 Apr 2023.
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    Engineering and Informatics Publications

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