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dc.contributor.authorGupta, S.
dc.contributor.authorModgil, S.
dc.contributor.authorLee, C.
dc.contributor.authorSivarajah, Uthayasankar
dc.date.accessioned2022-03-15T09:48:02Z
dc.date.accessioned2022-03-18T09:40:06Z
dc.date.available2022-03-15T09:48:02Z
dc.date.available2022-03-18T09:40:06Z
dc.date.issued2022
dc.identifier.citationGupta 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.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18790
dc.descriptionYesen_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1007/s10796-022-10271-8
dc.rights(c) 2022 SpringerNature. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectAIen_US
dc.subjectFacial recognitionen_US
dc.subjectTravel and tourism industryen_US
dc.titleThe future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industryen_US
dc.status.refereedYesen_US
dc.date.Accepted2022-03-14
dc.contributor.sponsorArea of Excellence AI, Data Science & Business at NEOMA Business School, France under the fund number 416005
dc.date.application2022-04-30
dc.typeArticleen_US
dc.date.EndofEmbargo2023-04-30
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 30 Apr 2023.en_US
dc.rights.licenseUnspecifieden_US
dc.date.updated2022-03-15T09:48:04Z
refterms.dateFOA2022-03-18T09:40:28Z
dc.openaccess.statusembargoedAccessen_US


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