Fraudulent Online Hotel Booking

2007 ◽  
Author(s):  
Mike Hannah ◽  
Gisela Bichler ◽  
John Welter
Keyword(s):  
Hotel Booking

The role of key online reviews in affecting online hotel booking: an empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Zhang ◽  
Pengkun Wu ◽  
Chong Wu
Keyword(s):  
Binary Logistic Regression ◽  
Online Reviews ◽  
Limited Attention ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Antecedents And Consequences ◽  
Hotel Managers ◽  
Hotel Booking

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC

2018 ◽  
Vol 20 (1-4) ◽  
pp. 9-36 ◽  
Author(s):  
Meng Tao ◽  
Muhammad Zahid Nawaz ◽  
Shahid Nawaz ◽  
Asad Hassan Butt ◽  
Hassan Ahmad
Keyword(s):  
Hotel Booking

scholarly journals The influence of online ratings and reviews on hotel booking consideration

2018 ◽  
Vol 66 ◽  
pp. 53-61 ◽  
Author(s):  
Diana Gavilan ◽  
Maria Avello ◽  
Gema Martinez-Navarro
Keyword(s):  
Online Ratings ◽  
Hotel Booking

scholarly journals Predicting hotel booking cancellations to decrease uncertainty and increase revenue

2017 ◽  
Vol 13 (2) ◽  
pp. 25-39 ◽  
Author(s):  
Nuno Antonio ◽  
◽  
Ana de Almeida ◽  
Luis Nunes ◽  
◽  
...  
Keyword(s):  
Hotel Booking

scholarly journals Customer Buying Intentions regarding Online Hotel Booking: An Empirical Analysis

2021 ◽  
Vol 19 (2) ◽  
pp. 29
Author(s):  
Saurabh Verma ◽  
Sunil Kumar Yadav ◽  
Sukanya Sarkar
Keyword(s):  
Empirical Analysis ◽  
Hotel Booking

scholarly journals Rating Determinants Factored in E-Commerce Decision-Making

2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Juheng Zhang ◽  
M. Riaz Khan ◽  
Dachuan Shih
Keyword(s):  
United States ◽  
Open Source Software ◽  
Web Sites ◽  
The United States ◽  
User Generated Content ◽  
Media Content ◽  
Price Levels ◽  
Wide Range ◽  
Hotel Booking ◽  
The Relationship

The user-generated content (UGC) Web sites are gaining popularity for a wide range of media content, such as news, blogs, forums, and open-source software. Instead of relying on information on company Web sites, users benefit by reading reviews written on UGC Web sites by consumers. Online evaluations are usually informative and reduce the information asymmetry. This study examines the problem where UGC can be expedient for online hotel booking. It investigates the relationship between the ratings obtained from the TripAdvisor.com reviewers and the hotel price levels in the United States, outside the United States, and top 20 hotels and others, respectively. Findings suggest that medium-priced hotels provide a comparable value with their high-priced counterparts. Further, the ratings for U.S. hotels are lower than others across all price levels.

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