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

Author

Listed:
  • Shivam Gupta

    (NEOMA Business School)

  • Sachin Modgil

    (International Management Institute (IMI) Kolkata)

  • Choong-Ki Lee

    (Kyung Hee University)

  • Uthayasankar Sivarajah

    (University of Bradford)

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.

Suggested Citation

  • Shivam Gupta & Sachin Modgil & Choong-Ki Lee & Uthayasankar Sivarajah, 2023. "The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry," Information Systems Frontiers, Springer, vol. 25(3), pages 1179-1195, June.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:3:d:10.1007_s10796-022-10271-8
    DOI: 10.1007/s10796-022-10271-8
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    1. Shiwei He & Rui Song & Sohail S. Chaudhry, 2014. "Service-oriented intelligent group decision support system: Application in transportation management," Information Systems Frontiers, Springer, vol. 16(5), pages 939-951, November.
    2. Sanjay K. Sahay & Nihita Goel & Murtuza Jadliwala & Shambhu Upadhyaya, 2021. "Advances in Secure Knowledge Management in the Artificial Intelligence Era," Information Systems Frontiers, Springer, vol. 23(4), pages 807-810, August.
    3. Wei-Lun Chang & Chien-Fang Jung, 2017. "A hybrid approach for personalized service staff recommendation," Information Systems Frontiers, Springer, vol. 19(1), pages 149-163, February.
    4. Dickson K. W. Chiu & Yves T. F. Yueh & Ho-fung Leung & Patrick C. K. Hung, 2009. "Towards ubiquitous tourist service coordination and process integration: A collaborative travel agent system architecture with semantic web services," Information Systems Frontiers, Springer, vol. 11(3), pages 241-256, July.
    5. Amjad Umar, 2005. "IT Infrastructure to Enable Next Generation Enterprises," Information Systems Frontiers, Springer, vol. 7(3), pages 217-256, July.
    6. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    7. Wang, Saerom & Kirillova, Ksenia & Lehto, Xinran, 2017. "Reconciling unsatisfying tourism experiences: Message type effectiveness and the role of counterfactual thinking," Tourism Management, Elsevier, vol. 60(C), pages 233-243.
    8. Peter M. Bednar & Christine Welch, 2020. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 22(2), pages 281-298, April.
    9. Kim, Jin-Young & Hlee, Sunyoung & Joun, Youhee, 2016. "Green practices of the hotel industry: Analysis through the windows of smart tourism system," International Journal of Information Management, Elsevier, vol. 36(6), pages 1340-1349.
    10. Arghavan Hadinejad & Noel Scott & Brent D. Moyle, 2019. "Emotional Responses to Tourism Advertisement in Different Cultures," World Scientific Book Chapters, in: Daniela Angelina Jelinčić & Yoel Mansfeld (ed.), Creating and Managing Experiences in Cultural Tourism, chapter 14, pages 225-238, World Scientific Publishing Co. Pte. Ltd..
    11. Marianna Sigala, 2012. "The impact of geocollaborative portals on group decision making for trip planning," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(4), pages 404-426, July.
    12. Arenas, Alvaro E. & Goh, Jie Mein & Urueña, Alberto, 2019. "How does IT affect design centricity approaches: Evidence from Spain’s smart tourism ecosystem," International Journal of Information Management, Elsevier, vol. 45(C), pages 149-162.
    13. R.K. Shyamasundar & Pratiksha Chaudhary & Arushi Jaiswal & Aniket Kuiri, 2021. "Approaches to Enforce Privacy in Databases: Classical to Information Flow-Based Models," Information Systems Frontiers, Springer, vol. 23(4), pages 811-833, August.
    14. Fang Fang & Manoj Parameswaran & Xia Zhao & Andrew B. Whinston, 2014. "An economic mechanism to manage operational security risks for inter-organizational information systems," Information Systems Frontiers, Springer, vol. 16(3), pages 399-416, July.
    15. M. J. O’Grady & G. M. P. O’Hare & J. Chen & D. Phelan, 2009. "Distributed network intelligence: A prerequisite for adaptive and personalised service delivery," Information Systems Frontiers, Springer, vol. 11(1), pages 61-73, March.
    16. Murphy, Hilary Catherine & Chen, Meng-Mei & Cossutta, Mathieu, 2016. "An investigation of multiple devices and information sources used in the hotel booking process," Tourism Management, Elsevier, vol. 52(C), pages 44-51.
    17. Pei-Ying Huang & Shan L Pan & Tao Hua Ouyang, 2014. "Developing information processing capability for operational agility: implications from a Chinese manufacturer," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(4), pages 462-480, July.
    18. Collins, Christopher & Dennehy, Denis & Conboy, Kieran & Mikalef, Patrick, 2021. "Artificial intelligence in information systems research: A systematic literature review and research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
    19. Edgar A. Whitley & Uri Gal & Annemette Kjaergaard, 2014. "Who do you think you are? A review of the complex interplay between information systems, identification and identity," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(1), pages 17-35, January.
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