The Influence of User-Generated Content on Tourists’ Choices

Most research on user-generated content (UGC) has focused on readers of comments and reviews. However, very little research is aimed at profiling travelers based on the extent to which their decisions regarding the choice of hotels are influenced by UGC. This research was therefore carried out to pr...

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Main Authors: Giacomo Del Chiappa, Carlota Lorenzo-Romero, María-del-Carmen Alarcón-del-Amo
Format: Article
Language:English
Published: Faculty of Economics & Business, Zagreb, CROMAR (Croatian Union of Marketing Associations) 2015-12-01
Series:Tržište
Subjects:
Online Access:http://hrcak.srce.hr/file/222598
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spelling doaj-b667f3ac23fb48daa4663f8a1f1ae6ae2020-11-24T22:04:19ZengFaculty of Economics & Business, Zagreb, CROMAR (Croatian Union of Marketing Associations)Tržište0353-47902015-12-01272221236The Influence of User-Generated Content on Tourists’ ChoicesGiacomo Del Chiappa0Carlota Lorenzo-Romero1María-del-Carmen Alarcón-del-Amo2University of Sassari & CRENOSUniversity of Castilla-La ManchaUniversity Autonomous of BarcelonaMost research on user-generated content (UGC) has focused on readers of comments and reviews. However, very little research is aimed at profiling travelers based on the extent to which their decisions regarding the choice of hotels are influenced by UGC. This research was therefore carried out to profile tourists based on the extent to which their choices of hotels are influenced by different types of peer-to-peer applications, while also considering their socio-demographic characteristics, frequency of travel, and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 607 Italian tourists, and three clusters were identified: “digitally passive tourists”, “focused tourists”, and “social tourists”. Wald and Chi-square tests revealed significant differences among the three clusters based on all the variables considered in the study. Its findings suggest that hospitality marketers should run their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioral characteristics of their target market. Contributions to the body of knowledge and suggestions for further research are given.http://hrcak.srce.hr/file/222598Travel 2.0 applicationsuser-generated contenthotel selectionsocio-demographic characteristicsmotivationslatent segmentation analysis
collection DOAJ
language English
format Article
sources DOAJ
author Giacomo Del Chiappa
Carlota Lorenzo-Romero
María-del-Carmen Alarcón-del-Amo
spellingShingle Giacomo Del Chiappa
Carlota Lorenzo-Romero
María-del-Carmen Alarcón-del-Amo
The Influence of User-Generated Content on Tourists’ Choices
Tržište
Travel 2.0 applications
user-generated content
hotel selection
socio-demographic characteristics
motivations
latent segmentation analysis
author_facet Giacomo Del Chiappa
Carlota Lorenzo-Romero
María-del-Carmen Alarcón-del-Amo
author_sort Giacomo Del Chiappa
title The Influence of User-Generated Content on Tourists’ Choices
title_short The Influence of User-Generated Content on Tourists’ Choices
title_full The Influence of User-Generated Content on Tourists’ Choices
title_fullStr The Influence of User-Generated Content on Tourists’ Choices
title_full_unstemmed The Influence of User-Generated Content on Tourists’ Choices
title_sort influence of user-generated content on tourists’ choices
publisher Faculty of Economics & Business, Zagreb, CROMAR (Croatian Union of Marketing Associations)
series Tržište
issn 0353-4790
publishDate 2015-12-01
description Most research on user-generated content (UGC) has focused on readers of comments and reviews. However, very little research is aimed at profiling travelers based on the extent to which their decisions regarding the choice of hotels are influenced by UGC. This research was therefore carried out to profile tourists based on the extent to which their choices of hotels are influenced by different types of peer-to-peer applications, while also considering their socio-demographic characteristics, frequency of travel, and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 607 Italian tourists, and three clusters were identified: “digitally passive tourists”, “focused tourists”, and “social tourists”. Wald and Chi-square tests revealed significant differences among the three clusters based on all the variables considered in the study. Its findings suggest that hospitality marketers should run their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioral characteristics of their target market. Contributions to the body of knowledge and suggestions for further research are given.
topic Travel 2.0 applications
user-generated content
hotel selection
socio-demographic characteristics
motivations
latent segmentation analysis
url http://hrcak.srce.hr/file/222598
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