The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings

By Qiang Ye, R. Law, Bin Gu, Wei Chen. Computers in Human Behavior, 2011

1,227 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/58a66142bc39c51f1b616055277e11b482fccebd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Marketing

In Sociology and Political Science

Citations in the corpus

The Differential Effects of the Quality and Quantity of Online Reviews on Hotel Room Sales (2014, background): “Öğüt and Tas (2012) and Ye et al. (2011) show that nature of online Blal and Sturman 367 ratings (looking at positive or negative valence) has an impact on online sales.”
Promotional Reviews: An Empirical Investigation of Online Review Manipulation (2014, background): “Similarly, Ye et al. (2010) use data from a major online travel agency in China to demonstrate a correlation between traveler reviews and online sales.”
Electronic word-of-mouth (eWOM) on WeChat: examining the influence of sense of belonging, need for self-enhancement, and consumer engagement on Chinese travellers’ eWOM (2019, background): “source of information among travellers (Ye et al. 2011; Yoo and Gretzel 2011).”
Hospitality and Tourism Online Reviews: Recent Trends and Future Directions (2015, background): “Ye, Law, and Gu (2009) as well as Ye et al. (2011) found that traveler reviews have a significant impact on online sales, with a 10% increase in traveler review ratings boosting online bookings by more than 5%.”
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection (2018, background): “Since people are increasingly relying on online reviews to make purchase decisions [11, 72, 78, 81], machine learning methods have been used to detect deception in online reviews [22, 24, 32, 60, 77, 79].”
Determinants of hotel room price (2011, background): “Nevertheless, recent promotions to encourage posting online reviews by travel websites have provided the websites with better representation of traveler opinions ( Ye et al. , 2011”
Asymmetric effects of online consumer reviews (2015, background): “Ye, et al., (2011) investigated a hotel consumer review website and found that a 10 percent increase in travel review ratings increases online hotel bookings by more than five percent.”