Changes in Consumer Behavior Through the Use of AI on Tourism Platforms in Disruptive Times
Maria-Roxana Cosma (),
Mirela Cătălina Türkeș () and
Aurelia-Felicia Stăncioiu
Additional contact information
Maria-Roxana Cosma: Technical University of Civil Engineering
Mirela Cătălina Türkeș: Bucharest University of Economic Studies
Aurelia-Felicia Stăncioiu: Bucharest University of Economic Studies
A chapter in Leading Change in Disruptive Times, 2026, pp 700-713 from Springer
Abstract:
Abstract With the rapid development and adoption of emerging technologies, such as artificial intelligence (AI) which transforms interactions between companies and consumers, the integration of AI-based solutions in customer service becomes necessary in the tourism sector, while research on their impact on behavioral intention to use is still in its early stages. This study addresses this gap, assessing the joint effect of AI integration in customer service, perceived usefulness and the Romanian user’s experience on perceived service quality and satisfaction, but also how gender moderates the relationships between these variables and the behavioral intention to use this support on tourism platforms. The quantitative research was conducted on a sample of 225 respondents who use tourism platforms. The results obtained reveal that AI integration in customer service has a strong and significant effect on the quality of service and satisfaction felt by Romanian users, and they can provide clearly necessary insights for tourism platform managers to implement and optimize AI solutions and for marketing specialists to develop strategies that capitalize on the benefits of this technology in order to increase satisfaction and improve user experience.
Keywords: Artificial Intelligence; Tourism Platforms; Customer Satisfaction and Behavior (search for similar items in EconPapers)
Date: 2026
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:prbchp:978-3-032-19276-9_45
Ordering information: This item can be ordered from
http://www.springer.com/9783032192769
DOI: 10.1007/978-3-032-19276-9_45
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().