Adapting Artificial Intelligence in Cypriot Hotel Industry: The Views of Hotel Managers
Christos Papademetriou (),
Konstantina Ragazou () and
Alexandros Garefalakis ()
Additional contact information
Christos Papademetriou: Neapolis University Pafos
Konstantina Ragazou: University of Western Macedonia
Alexandros Garefalakis: Hellenic Mediterranean University
A chapter in Eurasian Business and Economics Perspectives, 2024, pp 143-155 from Springer
Abstract:
Abstract Artificial Intelligence has changed the hotel industry, which is adjusting quickly. Al is modernizing hotels to increase service and quality. To effectively compete in the era of globalization, managers must prioritize the use of technology and the internet above traditional methods. The scope of this research is twofold: (1) to investigate the perspectives of hotel managers about the deployment of AI in Cypriot hotels and (2) to examine the potential for enhancing service quality in Cypriot hotels via the use of AI, robotics, and automation. Interviews with a sample frame consisting of 40 Human Resources managers of four-star hotels in Cyprus have been applied to collect the data. The research demonstrates that hotel managers not only endorse the integration of AI in the hotel industry, but also see it as an essential need. Their goal is to incorporate AI, robotics, and automation into their operations with the belief that it would result in time savings, enhanced service quality, and a competitive advantage. Furthermore, certain challenges related to the use of technology are observed. This paper enhances the theory by expanding the AI literature and demonstrating the significance of AI in the context of hotels.
Keywords: Artificial intelligence; Robotics; Automation; Hotel industry; Service quality (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-031-64140-4_8
Ordering information: This item can be ordered from
http://www.springer.com/9783031641404
DOI: 10.1007/978-3-031-64140-4_8
Access Statistics for this chapter
More chapters in Eurasian Studies in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().