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Artificial Intelligence Technology in Travel, Tourism and Hospitality: Current and Future Developments

In: Technology Application in Aviation, Tourism and Hospitality

Author

Listed:
  • Zaharuzaman Jamaluddin

    (Universiti Selangor)

  • Abdul Khabir Rahmat

    (Malaysia Institute of Transport, Universiti Teknologi MARA)

Abstract

Artificial intelligence (AI) is appearing in almost all field of travel and tourism, present in various types of applications for instance the care of critical business processes, ease human experiences and support important governance features. AI has been object of research in travel, tourism and hospitality has gained tremendous impact on making lives easier for travelers around the globe. Tourism companies have applied AI in projecting tourism arrivals, demands, expenses and hotel occupancy, identification of destination points and evaluation of online reviews. This paper presents an overview on current implementation of AI technology in travel, tourism and hospitality based on operation, facility management, supply chain and marketing. In term of company view, they protected data acquisition, the provision of rich service, support customer engagement and improved employee productivity and efficiency. Furthermore, AI technology could increase the perceived service quality through new attractive and interactive manners of service delivery, connecting and engaging with customers. This paper also stresses on potential AI implementations in tourism industry in the future such as self-driving vehicle, crops and forest monitoring, AI in pest control, decision support system, forest protections, virtual reality and AI dimension travel tourism.

Suggested Citation

  • Zaharuzaman Jamaluddin & Abdul Khabir Rahmat, 2023. "Artificial Intelligence Technology in Travel, Tourism and Hospitality: Current and Future Developments," Springer Books, in: Azizul Hassan & Nor Aida Abdul Rahman (ed.), Technology Application in Aviation, Tourism and Hospitality, chapter 0, pages 169-177, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6619-4_12
    DOI: 10.1007/978-981-19-6619-4_12
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    Cited by:

    1. Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).

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