The relationship between hotel star rating and website information quality based on visual presentation.

The hotel industry is essential for tourism. With the rapid expansion of the internet, consumers only search for their desired keywords on the website when they trying to find a hotel to stay, causing the relevant hotel information would appear. To quickly respond to the changing market and consumer...

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Main Authors: Ching-Hsue Cheng, Ming-Chi Tsai, Yuan-Shao Chang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0290629&type=printable
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author Ching-Hsue Cheng
Ming-Chi Tsai
Yuan-Shao Chang
author_facet Ching-Hsue Cheng
Ming-Chi Tsai
Yuan-Shao Chang
author_sort Ching-Hsue Cheng
collection DOAJ
description The hotel industry is essential for tourism. With the rapid expansion of the internet, consumers only search for their desired keywords on the website when they trying to find a hotel to stay, causing the relevant hotel information would appear. To quickly respond to the changing market and consumer habits, each hotel must focus on its website information and information quality. This study proposes a novel methodology that uses rough set theory (RST), principal component analysis, t-Distributed Stochastic Neighbor Embedding (t-SNE), and attribute performance visualization to explore the relationship between hotel star ratings and hotel website information quality. The collected data are based on the star-rated hotels of the Taiwanstay website, and the checklists of hotel website services are used to obtain the relevant attributes data. The results show that there are significant differences in information quality between hotels below two stars and those above four stars. The information quality provided by the higher star hotels was more detailed than that offered by low-star hotels. Based on the attribute performance matrix, the one-star and two-star hotels have advantage attributes in their landscape, reply time, restaurant information, social media, and compensation. Furthermore, the three-five star hotels have advantage attributes in their operational support, compensation, restaurant information, traffic information, and room information. These results could be provided to the stakeholders as a reference.
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spelling doaj-art-7bba3fa5bca849faa1fb8a011f1258a52025-08-20T03:02:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011811e029062910.1371/journal.pone.0290629The relationship between hotel star rating and website information quality based on visual presentation.Ching-Hsue ChengMing-Chi TsaiYuan-Shao ChangThe hotel industry is essential for tourism. With the rapid expansion of the internet, consumers only search for their desired keywords on the website when they trying to find a hotel to stay, causing the relevant hotel information would appear. To quickly respond to the changing market and consumer habits, each hotel must focus on its website information and information quality. This study proposes a novel methodology that uses rough set theory (RST), principal component analysis, t-Distributed Stochastic Neighbor Embedding (t-SNE), and attribute performance visualization to explore the relationship between hotel star ratings and hotel website information quality. The collected data are based on the star-rated hotels of the Taiwanstay website, and the checklists of hotel website services are used to obtain the relevant attributes data. The results show that there are significant differences in information quality between hotels below two stars and those above four stars. The information quality provided by the higher star hotels was more detailed than that offered by low-star hotels. Based on the attribute performance matrix, the one-star and two-star hotels have advantage attributes in their landscape, reply time, restaurant information, social media, and compensation. Furthermore, the three-five star hotels have advantage attributes in their operational support, compensation, restaurant information, traffic information, and room information. These results could be provided to the stakeholders as a reference.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0290629&type=printable
spellingShingle Ching-Hsue Cheng
Ming-Chi Tsai
Yuan-Shao Chang
The relationship between hotel star rating and website information quality based on visual presentation.
PLoS ONE
title The relationship between hotel star rating and website information quality based on visual presentation.
title_full The relationship between hotel star rating and website information quality based on visual presentation.
title_fullStr The relationship between hotel star rating and website information quality based on visual presentation.
title_full_unstemmed The relationship between hotel star rating and website information quality based on visual presentation.
title_short The relationship between hotel star rating and website information quality based on visual presentation.
title_sort relationship between hotel star rating and website information quality based on visual presentation
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0290629&type=printable
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