Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth
TLDR
In this article, a model of antecedents and consequences of trust for consumer-generated media (CGM) is proposed for building consumer trust towards CGM: source credibility, information quality, website quality, customer satisfaction, user experience with CGM.About:
This article is published in Tourism Management.The article was published on 2015-12-01 and is currently open access. It has received 553 citations till now. The article focuses on the topics: Word of mouth & Customer satisfaction.read more
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The impact of online user reviews on hotel room sales [Summary]
TL;DR: Wang et al. as discussed by the authors developed a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings, which indicated a significant relationship between online consumer reviews and business performance of hotels.
Journal ArticleDOI
A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism
TL;DR: In this article, the authors examined three major online review platforms, TripAdvisor, Expedia, and Yelp, in terms of information quality related to online reviews about the entire hotel population in Manhattan, New York City.
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Customer engagement with tourism social media brands
TL;DR: In this paper, the authors validate the Customer Engagement with Tourism Brands (CETB) 25-item scale proposed by So, King & Sparks (2014) in a social media context, and offer an alternative three-factor 11-item version of the scale.
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What makes an online consumer review trustworthy
TL;DR: This article used a grounded theory approach based on 38 interviews with users of online consumer reviews (OCRs) and found that consumers primarily use cues related to message content and style and review extremity and valence to assess trustworthiness.
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Sentiment Analysis in Tourism: Capitalizing on Big Data:
TL;DR: In this paper, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics, and future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach.
References
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Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
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