Collected dimension and attribute.

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.

酒店业是旅游业的核心支撑产业。随着互联网的快速普及，消费者在寻觅入住酒店时，仅需在网站输入目标关键词即可获取相关酒店信息。为快速响应不断变化的市场环境与消费者行为习惯，各家酒店均需重视自身官网的信息建设与信息质量管控。本研究提出一种全新分析框架，结合粗糙集理论（Rough Set Theory, RST）、主成分分析（Principal Component Analysis）、t分布随机邻域嵌入（t-Distributed Stochastic Neighbor Embedding, t-SNE）以及属性性能可视化技术，探究酒店星级评分与官网信息质量之间的内在关联。本研究的数据样本取自台湾住宿网（Taiwanstay）旗下的星级酒店，并通过酒店官网服务清单采集相关属性数据。研究结果表明，二星级以下酒店与四星级以上酒店的信息质量存在显著差异：高星级酒店所提供的官网信息相较低星级酒店更为详实完备。基于属性性能矩阵分析，一、二星级酒店在景观介绍、回复时效、餐饮信息、社交媒体运营与赔付政策这几项属性上具备竞争优势。此外，三至五星级酒店则在运营支持、赔付政策、餐饮信息、交通信息与客房信息方面拥有优势属性。上述研究结果可为酒店行业的利益相关方提供决策参考依据。