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The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry
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 analy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059456/ https://www.ncbi.nlm.nih.gov/pubmed/35529102 http://dx.doi.org/10.1007/s10796-022-10271-8 |
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author | Gupta, Shivam Modgil, Sachin Lee, Choong-Ki Sivarajah, Uthayasankar |
author_facet | Gupta, Shivam Modgil, Sachin Lee, Choong-Ki Sivarajah, Uthayasankar |
author_sort | Gupta, Shivam |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9059456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90594562022-05-02 The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry Gupta, Shivam Modgil, Sachin Lee, Choong-Ki Sivarajah, Uthayasankar Inf Syst Front Article 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. Springer US 2022-04-30 2023 /pmc/articles/PMC9059456/ /pubmed/35529102 http://dx.doi.org/10.1007/s10796-022-10271-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Gupta, Shivam Modgil, Sachin Lee, Choong-Ki Sivarajah, Uthayasankar The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title | The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title_full | The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title_fullStr | The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title_full_unstemmed | The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title_short | The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry |
title_sort | future is yesterday: use of ai-driven facial recognition to enhance value in the travel and tourism industry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059456/ https://www.ncbi.nlm.nih.gov/pubmed/35529102 http://dx.doi.org/10.1007/s10796-022-10271-8 |
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