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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.3...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.31410/EMAN....
Conference object . 2024
Data sources: Croatian Research Information System
https://doi.org/10.31410/eman....
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Quality Parameters of Online Travel Agencies

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2024Publisher:Association of Economists and Managers of the Balkans, Belgrade, SerbiaJournal:International Scientific Conference EMAN – Economics and Management: How to Cope with Disrupted Times (issn: 2683-4510, Copyright policy )
Authors: Sabrina Šuman; Mateo Feltrin; Dominik Pilat;

doi: 10.31410/eman.2024.487

Quality Parameters of Online Travel Agencies

Abstract

An online travel agency (OTA) is a web-based travel agency that allows users to research and book various travel products and ser­vices online. Technological development has influenced the quality of ex­isting OTA functions and also created some new ones. This paper analysed the parameters that influence the quality of online travel agencies in terms of basic process performance and basic interactions through the user in­terface. Three online travel agencies that are currently the most popular worldwide (Booking.com, Airbnb, and Tripadvisor) were selected and ana­lysed qualitatively and quantitatively. Qualitatively analysed and evaluat­ed were: user interface and user experience, booking process, reviews and feedback, search and filtering options, the accuracy of information, pay­ment security, website performance, customer support and collaboration with other services. Google PageSpeed Insights was used to quantitatively measure the performance of these three online travel agencies using five “Lighthouse 10” parameters and three Core Web Vitals for the desktop and mobile versions.

Keywords

Booking.com, User experience, OTA, Google PageSpeed Insights, Tripadvisor, Airbnb

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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