In search of patterns among travellers' hotel ratings in TripAdvisor

Prosuming tourist information:Asking questions onTripAdvisor

“…Although there are several other travel review sites, including Virtual Tourist and IgoUgo, Pabel and Prideaux () identified TripAdvisor as the most popular. Banerjee and Chua () also suggest that collecting data from a popular platform such as TripAdvisor facilitates gleaning findings that would hold practical significance, hence its selection for this research project.…”

“…Data were manually extracted, similar to Zhang, Ji, Wang, and Chen (), from TripAdvisor forum pages of 10 small U.K. destinations. Many studies involving travel review sites (e.g., Banerjee & Chua, ; Liu, Teichert, Rossi, Li, & Hu, ) use web crawlers or scrapers; however, due to the qualitative nature of this study, a more practical and purposeful approach had been adopted. The basic unit of analysis in this study is a posting sporting a question by an original poster (OP) who starts a thread discussion.…”

“…3 | METHODOLOGYIn order to achieve the objectives of this research, qualitative data collection and analysis of questions and answer postings of potential and past visitors on TripAdvisor forum of 10 destinations in the United Kingdom were used. Although there are several other travel review sites, including Virtual Tourist and IgoUgo,Pabel and Prideaux (2016) identified TripAdvisor as the most popular Banerjee and Chua (2016). also suggest that collecting data from a popular platform such as TripAdvisor facilitates gleaning findings that would hold practical significance, hence its selection for this research project.…”

Hofstede, cultural differences, and TripAdvisor hotel reviews

“…It is acknowledged that these findings reflect the attitudes only of those guests who took the initiative to post reviews, often those with extreme feelings (e.g., Banerjee & Chua, ). As such, the review comments are not necessarily representative of the attitudes of the broader traveling public.…”

Connecting Big Data and Service Quality Evaluation – Developing a Service Quality Map of the Austrian Hospitality Industry through the Application of Big Data

“…To scrape the large amount of data from the interface of Holiday Check, Node.js was used. Many rating platforms for hotels consist of ratings from travellers using a combination of star ranking and text evaluation (Banerjee & Chua, 2016). However, at this point it is important to mention that this research does not focus on narrative evaluation, but rather on scale ratings from one to six.…”