Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content

This study extracts user-generated content from Tripadvisor to understand the relation between national culture with tourists’ preferences and evaluations of activities at destinations. Travel reviews were analyzed to measure the tourists’ preferences for three types of tourism activities using mach...

Full description

Bibliographic Details
Main Authors: Ji, Guang Meng, Cheah, Jun Hwa, Sigala, Marianna, Ng, Siew Imm, Choo, Wei Chong
Format: Article
Language:English
Published: Routledge 2023
Online Access:http://psasir.upm.edu.my/id/eprint/115404/
http://psasir.upm.edu.my/id/eprint/115404/1/115404.pdf
_version_ 1848866767587246080
author Ji, Guang Meng
Cheah, Jun Hwa
Sigala, Marianna
Ng, Siew Imm
Choo, Wei Chong
author_facet Ji, Guang Meng
Cheah, Jun Hwa
Sigala, Marianna
Ng, Siew Imm
Choo, Wei Chong
author_sort Ji, Guang Meng
building UPM Institutional Repository
collection Online Access
description This study extracts user-generated content from Tripadvisor to understand the relation between national culture with tourists’ preferences and evaluations of activities at destinations. Travel reviews were analyzed to measure the tourists’ preferences for three types of tourism activities using machine learning methods. Multiple regression analysis was used to investigate the relations between Hofstede's cultural dimensions, tourists’ preference and evaluation of tourism activities. Findings show that national culture significantly relates to tourists’ preferences for only one type of activity (i.e. participatory), while it does significantly relate to tourists’ evaluations of all three types of tourism activity (sightseeing, participatory, and ancillary activity). Tourists’ cultural dimensions are found to have differential relations with tourists’ evaluations of tourism activities. Power distance, individualism, and masculinity have positive relationships with tourist evaluation. Conversely, uncertainty avoidance, long-term orientation, and indulgence are negatively related to tourist evaluation. The study concludes by discussing the theoretical and practical implications.
first_indexed 2025-11-15T14:25:50Z
format Article
id upm-115404
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T14:25:50Z
publishDate 2023
publisher Routledge
recordtype eprints
repository_type Digital Repository
spelling upm-1154042025-03-04T03:11:10Z http://psasir.upm.edu.my/id/eprint/115404/ Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content Ji, Guang Meng Cheah, Jun Hwa Sigala, Marianna Ng, Siew Imm Choo, Wei Chong This study extracts user-generated content from Tripadvisor to understand the relation between national culture with tourists’ preferences and evaluations of activities at destinations. Travel reviews were analyzed to measure the tourists’ preferences for three types of tourism activities using machine learning methods. Multiple regression analysis was used to investigate the relations between Hofstede's cultural dimensions, tourists’ preference and evaluation of tourism activities. Findings show that national culture significantly relates to tourists’ preferences for only one type of activity (i.e. participatory), while it does significantly relate to tourists’ evaluations of all three types of tourism activity (sightseeing, participatory, and ancillary activity). Tourists’ cultural dimensions are found to have differential relations with tourists’ evaluations of tourism activities. Power distance, individualism, and masculinity have positive relationships with tourist evaluation. Conversely, uncertainty avoidance, long-term orientation, and indulgence are negatively related to tourist evaluation. The study concludes by discussing the theoretical and practical implications. Routledge 2023-12-15 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/115404/1/115404.pdf Ji, Guang Meng and Cheah, Jun Hwa and Sigala, Marianna and Ng, Siew Imm and Choo, Wei Chong (2023) Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content. Asia Pacific Journal of Tourism Research, 28 (10). pp. 1052-1070. ISSN 1094-1665; eISSN: 1741-6507 https://www.tandfonline.com/doi/full/10.1080/10941665.2023.2283599 10.1080/10941665.2023.2283599
spellingShingle Ji, Guang Meng
Cheah, Jun Hwa
Sigala, Marianna
Ng, Siew Imm
Choo, Wei Chong
Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title_full Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title_fullStr Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title_full_unstemmed Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title_short Tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
title_sort tell me about your culture, to predict your tourism activity preferences and evaluations: cross-country evidence based on user-generated content
url http://psasir.upm.edu.my/id/eprint/115404/
http://psasir.upm.edu.my/id/eprint/115404/
http://psasir.upm.edu.my/id/eprint/115404/
http://psasir.upm.edu.my/id/eprint/115404/1/115404.pdf