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Artificial Intelligence in Tourism Ecosystem

In: Synergizing Management, Culture, and Arts for Tourism Development - Vol. 2

Author

Listed:
  • Panagiota Dionysopoulou

    (Hellenic Open University (HOU), Tourism Policy, Ministry of Tourism)

  • Anastasia Troumpa

    (Hellenic Open University (HOU), Tourism Business Administration)

  • Kanella Exarchakou

    (National and Kapodistrian University of Athens, European Law, Ministry of Education, Religious Affairs and Sport)

Abstract

Tourism is one of the fastest-growing sectors internationally, which is considered an important factor of socio-economic and technological development. In previous decades, planning a trip either domestically or abroad was time-consuming, from selecting the destination, transportation, accommodation, provisions (food and drinks) and leisure activities (entries in museums, monuments, souvenirs, etc.). The advance of technology brought great changes in the tourism industry, through the Internet, from registrations for lodging, restaurants and recreation activities to booking flights and transportation. However, artificial intelligence has revolutionised the tourism industry. The growing need for more personalised experiences and services from the tourists’ side of view and the cost reduction from the tourism enterprises’ side of view have nearly made every tourism company use at least one AI-powered technology, forecasting a valuation of $1.2 billion by 2026. Innovations like natural language processing (NLP), big data and deep learning are some tools used by artificial technology, enhancing the authendicity and experiencial value of the tourism experience, like travel planning, pricing, marketing and customer servising. This article will demonstrate how artificial intelligence could help all the stakeholders involved in tourism policy design, the benefits and the drawbacks of it, the contribution of the OECD in forming a legislative framework for artificial intelligence (AI) and the first active travel assistance for travellers in Greece, called “mAiGreece”, formed by the Greek Ministry of Tourism with the collaboration of the Ministry of Digital Governance in Greece.

Suggested Citation

  • Panagiota Dionysopoulou & Anastasia Troumpa & Kanella Exarchakou, 2026. "Artificial Intelligence in Tourism Ecosystem," Springer Proceedings in Business and Economics, in: Vicky Katsoni (ed.), Synergizing Management, Culture, and Arts for Tourism Development - Vol. 2, pages 787-799, Springer.
  • Handle: RePEc:spr:prbchp:978-3-032-17534-2_24
    DOI: 10.1007/978-3-032-17534-2_24
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    JEL classification:

    • Z38 - Other Special Topics - - Tourism Economics - - - Policy

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