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Keywords: 在线评论
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Journal Articles
More than words: the role of personality in shaping the timeliness of online reviews
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Journal of Hospitality and Tourism Technology (2025) 16 (3): 510–525.
Published: 12 November 2024
...(外向性、神经质、宜人性、开放性和尽责性)对旅行者在入住酒店后提交在线评论时间的潜在影响. 研究方法 本研究分析了来自美国六大旅游城市 415 家酒店的 83,235 条TripAdvisor评论, 采用随机森林算法和泊松回归方法, 探讨了五大人格特质对旅行者在入住酒店后提交在线评论时间的影响。研究将人格心理学与消费者行为研究相结合, 运用了机器学习和统计分析的组合方法。 研究发现 研究结果表明, 某些人格特质与发布在线酒店评论的时间存在显著相关性。外向性、神经质和宜人性与响应时间呈负相关, 表明具有较高这些特质的人倾向于更快速地提交评论。相反, 开放性与响应时间呈正相关, 暗示...
Journal Articles
Linguistic insights into customer satisfaction: an exploratory analysis of online reviews for gaming destination resorts in Las Vegas
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Journal of Hospitality and Tourism Technology (2025) 16 (1): 73–90.
Published: 16 August 2024
... explores the quality of user-generated content, addressing aspects such as readability, polarity, diversity and word length, providing a unique perspective on how these specific elements directly impact customer satisfaction in this context of hotels in luxury in Las Vegas. 拉斯维加斯博彩度假村在线评论的顾客满意度语言学调查:探索性...
Journal Articles
A novel deep learning method to use feature complementarity for review helpfulness prediction
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Journal of Hospitality and Tourism Technology (2024) 15 (4): 534–550.
Published: 07 May 2024
... Limited Licensed re-use rights only Review helpfulness prediction Convolutional neural network Deep learning Hospitality industry Online reviews Feature complementarity 评论有用性预测 卷积神经网络 深度学习 酒店业 在线评论 特征互补性 The development of information and communication technology has...
Journal Articles
Company size, online reviews and customer responses: implications for SMEs in the hospitality field
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Journal of Hospitality and Tourism Technology (2023) 14 (3): 490–502.
Published: 18 April 2023
... and customer responses in two hospitality settings, restaurants and hotels. 研究目的 以往针对酒店业的在线评论研究主要集中在大型企业上, 因此这些研究结果是否也适用于中小企业尚不清楚, 而中小企业在该行业中最为普遍。本研究重点研究了酒店业中的在线评论, 分析了企业规模是否在在线评论极性与客户反应之间的关系中起到调节作用。 研究设计/方法 本研究采用2(正面与负面在线评论)×2(中小企业与大型企业)的实验研究设计, 并在两个实验环境下(酒店和餐饮)进行研究。 研究发现 对规模较小的酒店企业来说, 在线评论对客户反应的...
Journal Articles
Analysing online customer experience in hotel sector using dynamic topic modelling and net promoter score
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Journal of Hospitality and Tourism Technology (2023) 14 (2): 258–277.
Published: 10 February 2023
... to reach this goal. 使用动态主题建模和净推荐值分析酒店行业的在线客户体验 研究目的 本研究旨在通过动态主题建模和净推荐值分析酒店业的在线客户体验。 提出了一种用于收集、预处理和分析在线评论的新模型, 以了解语料库中的隐藏信息并获得客户体验。 研究设计/方法/途径 收集了一个包含 259,470 条英文客户评论的语料库。 研究人员通过 Perplexity 和 Coherence Score 测量结果进行了实验, 并选择了最佳的 K 参数(主题数量)作为模型的输入参数。 最后, 团队使用 Latent Dirichlet allocation (LDA) 模型和具有 K...
Journal Articles
The eWOM adoption model in the hospitality industry: the moderating effect of the vlogger’s review
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Journal of Hospitality and Tourism Technology (2023) 14 (2): 225–244.
Published: 06 February 2023
... reviews YouTuber Source evaluation 社交媒体影响者 酒店 在线评论 YouTuber 来源评价 The internet and social media have provided customers who engage in social interactions with powerful methods for sharing and dispersing updated information online. Therefore, the WOM effect on the internet, known...
Journal Articles
The role of badges to spur frequent travelers to write online reviews
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Journal of Hospitality and Tourism Technology (2023) 14 (2): 69–82.
Published: 27 January 2023
...度(字数)、情绪评分和两次连续评论之间的时间段(距离撰写下一次评论的天数)。 研究设计/方法/途径 本研究使用数据挖掘方法分析了由 100 位常旅客和贡献者撰写的总共 77,000 条在线 TripAdvisor 评论。然后进行基于数据的敏感性分析 (DSA), 以提供对数据挖掘训练模型的理解。 研究发现 结果表明, 具有自我自豪感(“徽章护照”)和同行认可(“徽章有帮助”)的徽章在在线评论的整个生命周期中具有显着影响, 而仅通过计算贡献来授予徽章几乎没有影响。 研究原创性 本研究首次分析了经验丰富的旅行者在获得徽章和积分时受到的影响。奖励标准贡献徽章的内在动机因素几乎...
Journal Articles
Automating tourism online reviews: a neural network based aspect-oriented sentiment classification
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Journal of Hospitality and Tourism Technology (2023) 14 (1): 1–20.
Published: 24 November 2022
... for new dining experiences. Originality/value This study provides an update to the literature with respect to how a neural network could improve the performance of aspect-oriented sentiment classification for tourism-hospitality online reviews. 自动化旅游在线评论:基于神经网络的面向方面的情感分类 研究目的 本文旨在从方面级对在线旅游-酒店评论的情感进行...
Journal Articles
“Value for money?” Exploring the consumer experience on shared accommodation platforms: evidence from online reviews in China
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Journal of Hospitality and Tourism Technology (2022) 13 (3): 542–558.
Published: 14 March 2022
... the perspective of expectation theory, enriching the prior research on shared accommodation platforms. “性价比?” 探索共享住宿平台的消费者体验:来自中国在线评论的证据 研究目的: 随着共享经济的发展, 协同消费模式越来越流行, 改变了人们从事旅游的方式。本研究旨在探索共享住宿平台上不同类型房间的消费者体验。 研究设计/方法/途径 在这项研究中, 我们根据房价将共享住宿平台上的房间分为经济型和豪华型, 并使用内容分析分析了在Xiaozhu上发布的 15,710 条在线评论。 研究发现 我们发...
Journal Articles
How customer-driven and vendor-driven information cues shape a travel app user behaviour?
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Journal of Hospitality and Tourism Technology (2021) 12 (4): 745–761.
Published: 25 September 2021
...Lejla Turulja; Merima Činjarević 顾客驱动和供应商驱动信息线索如何影响旅行APP使用行为? 研究目的 本研究旨在应用SOR框架来解释在线评论的有效性影响在旅行APP行为意向的潜在机理。此外,本研究探索了供应商驱动的对产品的认知有效性和商品属性来影响认知有效性和行为意向的中介关系。 研究设计/方法/途径 本研究运用网络调研 (n=151)来收集数据。本论文运用结构方程建模和偏差纠正辅助程序来测试提出的理论模型和调节式中介作用。 研究发现 研究结果显示在线评论的有效性通过信任度和态度对旅行APP的下载使用意向具有间接正相关的作用。此外,结果显示当供应商信息(供应商...
Journal Articles
Do eReferral, eWOM, familiarity and cultural distance predict enrollment intention? An application of an artificial intelligence technique
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Journal of Hospitality and Tourism Technology (2021) 12 (3): 471–488.
Published: 12 July 2021
... rate. A total of 41 packets had missing information and were therefore discarded from the study, leaving behind 931 valid forms. Cultural distance Online reviews Familiarity Enrollment Educational tourism 熟悉度 在线评论 文化距离 参与 教育旅游 Platforms such as Instagram, Twitter and Facebook...
Journal Articles
Exploring influential factors affecting guest satisfaction: Big data and business analytics in consumer-generated reviews
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Journal of Hospitality and Tourism Technology (2020) 11 (1): 137–153.
Published: 17 March 2020
... that exist in these influential factors. Guest satisfaction Big data Business analytics Online reviews Electronic word of mouth 顾客满意度 大数据 商务分析 在线评论 网络口碑 Minwoo Lee can be contacted at: mlee37@uh.edu 18 07 2018 12 12 2018 20 02 2019 18 10 2019 04 12 2019...
