Results 121 to 130 of about 10,252 (165)
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Detection of fake online hotel reviews
2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017Individuals use online reviews to make decisions about available products and services. In recent years, businesses and the research community have shown a great amount of interest in the identification of fake online reviews. Applying accurate algorithms to detect fake online reviews can protect individuals from spam and misinformation.
Anna V. Sandifer +2 more
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Online Customer Reviews of Hotels
Cornell Hospitality Quarterly, 2013Customer reviews posted on the web and through social media (electronic word of mouth [eWOM]) have grown in importance for tourism businesses, but most studies have examined the effects of the content of reviews, particularly negative reviews (i.e., their valence).
Melián González, Santiago +2 more
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Should Hotels Respond to Negative Online Reviews?
Cornell Hospitality Quarterly, 2016The purpose of this study was to determine whether it is beneficial for service providers, such as hotels and restaurants, to respond to online negative reviews, and (a) whether company reputation is moderated by the number of negative versus positive reviews and (b) whether the underlying issue is attributed to controllable versus uncontrollable ...
Mei Rose, Jeffrey G. Blodgett
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Deconstructing Persuasiveness of Online Hotel Review Platforms
Tourism Analysis, 2020Considering the significant influence of online hotel reviews on both tourism demand and supply side, these may be considered as a successful persuasive tool. Accordingly, it is necessary to investigate the broader context in which reviews are generated and what are the components that contribute to their effectiveness. The main goal of this study was
Edina Ajanovic, Beykan Çizel
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Hotel Classification Based on Online Review Data
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2018Online review is the real evaluation of the purchased on the internet, and play a leading role in the purchase of future customers. At present, the analysis of online reviews based on emotion. The methods of analysis have word-level, sentence-level, document-level.
Haifei Qin +3 more
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Modeling consumer distrust of online hotel reviews
International Journal of Hospitality Management, 2018Abstract The online reviews literature has tended to focus on exploring perspectives such as the recipient’s attitude, reviews’ message-based factors, reviews’ trustworthiness, and hotel sales. But research fails to address the underlying processes of consumer distrust of online hotel reviews. Based on a rich stream of literature, this study offers a
Ahmad, Wasim, Sun, Jin
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How do consumers process online hotel reviews?
Journal of Hospitality and Tourism Technology, 2015Purpose– The purpose of this paper is to examine how consensus and sequence of electronic word-of-mouth (eWOM) presented on online hotel review Web sites affect consumers’ attitudes toward the company and intention to stay at a hotel.Design/methodology/approach– This experiment used a 2 (consensus: high/low) × 3 (sequence: positive-negative, neutral ...
Ellen EunKyoo Kyoo Kim, Chung Hun Lee
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The influence of online reviews to online hotel booking intentions
International Journal of Contemporary Hospitality Management, 2015Purpose – This study aims to investigate the impacts of online review and source features upon travelers’ online hotel booking intentions. Design/methodology/approach – This study developed a research model and empirically examined the model by collecting data ...
Xinyuan (Roy) Zhao +3 more
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Assessing Hotel-Related Smartphone Apps Using Online Reviews
Journal of Hospitality Marketing & Management, 2015The fast adoption of the smartphone and its associated applications (apps) is changing the landscape of the hospitality industry in terms of marketing and distribution. Within this context, understanding the current capabilities of smartphone apps and user experience of these apps can help the hospitality industry develop more user-friendly apps and ...
Dan Wang +3 more
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Understanding Satisfied and Dissatisfied Hotel Customers: Text Mining of Online Hotel Reviews
Journal of Hospitality Marketing & Management, 2015This article aims to examine the underpinnings of satisfied and unsatisfied hotel customers. A text-mining approach was followed and online reviews by satisfied and dissatisfied customers were compared. Online reviews of 2,510 hotel guests were collected from TripAdvisor.com for Sarasota, Florida.
Berezina, Katerina +3 more
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