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Investigating Tourists’ Online Travel Agency Selection Intention

An Empirical Analysis on Bangladesh

Bibliographic Data

ID21216164
AuthorsZaber HOSSAIN (0000-0003-4847-681X), Mahbubar Rahman (0000-0003-3357-6463), Md Kamal Hossain (0009-0005-0009-6166), Subrata Kumar (0000-0001-7046-508X), Kamal Hossain (0000-0002-9156-9782)
Year2023
Volume50
Issue4
Pages1212-1223
Publication date2023-12-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeoJournal of Tourism and Geosites (JOURNAL)
Journal identifiersISSN: 2065-0817 • E-ISSN: 2065-1198
PublisherAsociatia de Geografie, Turism si Sport (PUBLISHER)
DOI10.30892/gtg.50401-1119
OpenAlexW4387418533
LanguageEN
Citations received1
References cited24

Online travel agency (OTA) attributes are significant to travelers in deciding which travel agency to select for their trip since different attributes represent different levels of perceived value to the travelers. The study aims to investigate the OTA attributes generated perceived value effect on OTA selection intention by Bangladeshi tourists. Data were collected by following a purposive sampling technique from 307 tourists of Bangladesh who buy from OTA and analyzed by utilizing SPSS version 24 integrated with AMOS version 26, applying structural equation modeling (SEM). Information quality, price, privacy and security, ease of use and online review are considered the features of OTA that influence perceived value and perceived value influence OTA selection intention. The result showed that the information quality, price, privacy and security, and ease of use significantly and positively influence perceived value, while online reviews were found to have no significant relationship. The perceived value also positively influences the OTA selection intentions of tourists. This study will provide important directions for OTA service providers in developing better strategies to improve OTA performance

Advertising · Business · Geography · Nonprobability sampling · Sociology · Statistics · Structural equation modeling · Tourism · Usability · Computer Science · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Mathematics · Psychology · Technology Adoption and User Behaviour · Marketing

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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