Abstract
This scientific paper presents an empirical research study that
aims to investigate the relationships between various factors and
room rates within the context of 346 hotels in Vienna listed on
booking.com. The research utilized a combination of web
content mining and multiple linear regression techniques to
collect and analyze data. The variables extracted from the hotel
listings included customer rating valence, amount of ratings, star
category, distance to town center, and room rates. The statistical
analysis employed multiple linear regression to examine the links
between the variables and room rates. The results indicated
significant links between star category and price, distance to town
center and price, amount of customer ratings and price, and the
valence of customer ratings and price. These findings provide
valuable insights into the factors influencing room rates in the
Vienna hotel market and contribute to the understanding of
pricing strategies and customer preferences in the context of
information systems and tourism.
aims to investigate the relationships between various factors and
room rates within the context of 346 hotels in Vienna listed on
booking.com. The research utilized a combination of web
content mining and multiple linear regression techniques to
collect and analyze data. The variables extracted from the hotel
listings included customer rating valence, amount of ratings, star
category, distance to town center, and room rates. The statistical
analysis employed multiple linear regression to examine the links
between the variables and room rates. The results indicated
significant links between star category and price, distance to town
center and price, amount of customer ratings and price, and the
valence of customer ratings and price. These findings provide
valuable insights into the factors influencing room rates in the
Vienna hotel market and contribute to the understanding of
pricing strategies and customer preferences in the context of
information systems and tourism.
| Translated title of the contribution | Price Patterns in Vienna`s Hospitality: Analyzing the Impact of Ragings, Reviews and Proximity on Hotel Rates |
|---|---|
| Original language | English (American) |
| Title of host publication | International Scientific Conference |
| Subtitle of host publication | Challenges in the Turbulent Economic Environment and Organizations’ Sustainable Development |
| Pages | 499 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - Feb 2024 |