Uncovering online travel agency antecedents and their consequences in terms of consumer behavior

A retrospective analysis for future research

Bibliographic Data

ID16902846
AuthorsSeema Singh (0000-0002-6985-6304, Indian Institute of Management Rohtak), Prince Prince (0000-0002-7201-1943, Indian Institute of Management Rohtak), Neha Aggarwal (0000-0003-4699-9131), N D Aggarwal (0009-0005-2992-2417, Indian Institute of Management Rohtak), Devika Dabas (0000-0003-1894-6673, Indian Institute of Management Rohtak)
Year2024
Volume34
Issue2
Pages47-67
Publication date2024-09-06
Open AccessYes
TypeARTICLE
VenueTuryzm/Tourism (JOURNAL)
Journal identifiersISSN: 0867-5856 • E-ISSN: 2080-6922
PublisherUniwersytet Lodzki (University of Lodz) (PUBLISHER)
DOI10.18778/0867-5856.34.2.03
OpenAlexW4402313816
LanguageEN
References cited91

The popularity of online travel agencies (OTAs) has been fueled by the growing use of internet technologies and the services they provide, and this makes it crucial to investigate consumer behavior (CB) towards them. The aim of the work is to identify the influencing factors/variables which affect CB and to provide empirical guidance on OTA antecedents and their consequences in terms of CB, based on a review of the existing literature using PRISMA protocol. An analysis of the 77 most pertinent articles has given a more thorough understanding of this revealing the most common influencing factors/variables (information, price, features, quality, customization & filters, user friendliness, etc.) used to measure the CB towards OTAs. Nevertheless, monetary value, trustworthiness, perceived value, website quality, electronic word of mouth (e-WOM), service quality and information value are the most common antecedents, with customer purchase intention, satisfaction and loyalty as major consequences in terms of CB. This article represents the first effort to conduct a thorough literature evaluation of the influencing factors/variables, antecedents and consequences for CB. A greater grasp of these three aspects in the tourism sector can be helpful to researchers and to managers in the hospitality industry as well

Advertising · Business · Consumer behaviour · Data science · Social science · Sociology · Computer Science · Consumer Behavior in Brand Consumption and Identification · Digital Marketing and Social Media · Psychology · Sharing Economy and Platforms · Social Psychology · Marketing

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