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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Faculty of Economics & Business, Zagreb, CROMAR (Croatian Union of Marketing Associations)
2015-12-01
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Online Access: | http://hrcak.srce.hr/file/222598 |
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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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