Author
Listed:
- Ioannis Katsanakis
(University of Piraeus)
- Georgia Zouni
(University of Piraeus)
- Stergios Spasos
(University of Piraeus)
- Dimitra-Margieta Lykoudi
(University of Piraeus)
- Nikolaos Akriotis
(University of Piraeus)
Abstract
Technological innovations have significantly changed the tourism industry over the past few years, with artificial intelligence (AI) emerging as a transformative technology capable to revolutionize the industry. This study examines the opportunities and challenges of integrating AI into the tourism sector. In particular, it examines the effects of AI on improving customer experience, streamlining operations and providing personalized travel solutions, alongside challenges such as privacy, ethics and workforce adaptation. This study, using qualitative research and semi-structured interviews, tries to uncover the opinions and thoughts of travel and tourism professionals on how AI has influenced the way they work and operate. Applying thematic analysis six key themes have been identified: process automation, perceptions of AI, future industry direction, ethical considerations, workforce training, and strategic decision-making. Findings reveal that although AI can improve decision-making, reduce operational costs, and enhance service personalization, its integration raises concerns about job displacement, data security, and ethical practices. The study highlights the need to address the ethical and legal implications of AI in the tourism sector to ensure its responsible adoption. Furthermore, it underlines the importance of lifelong learning and workforce reskilling to prepare professionals for the evolving demands of AI-driven tourism industry. This research contributes to the growing literature on AI in tourism by offering a focused investigation of its real-world applications and impacts and providing actionable insights for industry stakeholders seeking to leverage AI to gain competitive advantage while addressing potential risks. Future research should include an in-depth study of customer perceptions of AI-driven services and the development of strategies to ensure harmonious human-technology collaboration in tourism.
Suggested Citation
Ioannis Katsanakis & Georgia Zouni & Stergios Spasos & Dimitra-Margieta Lykoudi & Nikolaos Akriotis, 2025.
"Exploring the Impact of Artificial Intelligence on the Tourism Industry: Opportunities and Challenges,"
Springer Proceedings in Business and Economics,,
Springer.
Handle:
RePEc:spr:prbchp:978-3-031-96930-0_9
DOI: 10.1007/978-3-031-96930-0_9
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prbchp:978-3-031-96930-0_9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.