Determinants of Customer Satisfaction in the Hotel Industry: An Application of Online Review Analysis
By Huiying Li, Qiang Ye, R. Law. 2013
334 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/00ab47f96935fb1753ad1a84387489ad27eaf53a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Cindy Yoonjoung Heo
- Mingshu Wang
- Yabing Zhao
- Bona Kim
- Xun Xu
- Stuart J. Barnes
- Samuel S. Kim
- Richard T. Vidgen
In Organizational Behavior and Human Resource Management
In Sociology and Political Science
- Cindy Yoonjoung Heo
- Mingshu Wang
- Yabing Zhao
- Bona Kim
- Xun Xu
- Stuart J. Barnes
- Samuel S. Kim
- Richard T. Vidgen
Citations in the corpus
- Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation (2017, background): “…A provides a brief summary of the recent empirical literature on UGC from multiple academic disciplines, including travel and tourism, marketing, and information systems, since research on UGC in tourism is a recent phenomenon (e.g., Li et al. 2013; Liu and Park 2015; Park and Nicolau 2015).”
- Analysis of satisfiers and dissatisfiers in online hotel reviews on social media (2016, methodology): “This reflects conventional wisdom that convenient location and courteous staff attitude help to enhance customer satisfaction (Jeong and Jeon, 2008; Knutson, 1988; Li et al., 2013).”
- Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2019, background): “Many studies use text mining techniques including content analysis (Li et al., 2013), frequency analysis (Xiang et al.”