Understanding the relationships between hotel variables in Almaty, Kazakhstan: an investigation using booking.com data

Abstract

Object: The purpose of this article is to study relationships between hotel variables such as star ratings, prices, customer ratings, distance from the city center, and review numbers for hotels in Almaty, Kazakhstan.
Methods: Data for this study was collected quantitatively from Booking.com using the web scraping tool Parsehub, a popular tool in contemporary research for web data extraction. Following data collection and the removal of missing data, 69 cases out of 96 were retained. To address the research questions, the study uses descriptive statistics to analyze data by star rating categories, performs One Way ANOVA test to determine differences between variables, and conducts correlation analysis. The analysis tools used include Jamovi and SPSS 23.
Findings: The findings indicate significant differences in customer ratings based on star ratings, a positive correlation between star ratings and prices, a weak, negative relationship between customer ratings and distance from the city center, and a weak positive correlation between review numbers and customer ratings.
Conclusions: These insights contribute to a better understanding of the hotel industry in Almaty. Results demonstrate the importance of star ratings, customer reviews, price, and location in understanding the dynamics of the hotel market.