0000000000940500
AUTHOR
Edu William
Similarity and Consistency in Hotel Online Ratings across Platforms
Online ratings are a major driver of hotel choice. There are many ratings platforms, and the number of evaluations is huge. This article analyzes if hotel ratings vary across platforms, vary over time, and if consistency in ratings can be observed. Longitudinal online ratings taken from 11 platforms over a two-year period were analyzed through Self-Organizing Maps. The findings suggest a similar pattern of online ratings across most of the platforms, except for Yelp and HolidayCheck. In addition, the evaluation patterns are stable over time, and the analyzed attributes do not contribute decisively to explain the overall evaluation of hotels, which implies that tourists use a noncompensator…
Advance booking across channels: The effects on dynamic pricing
This research analyzes the effects of advance booking and channel type on hotel rates. While this relationship has been addressed in the literature, most studies take a partial approach by focusing only on one distribution channel or one destination. This study fills this gap by analyzing the price dynamics for four channels and multiple destinations. The data set consists of 39,363 bookings for 1085 hotels over 27 consecutive months. We used two-stage least squares to solve potential endogeneity issues, and the results proved that distribution channel, hotel type and hotel size have an influence on the effect of advance booking on hotel rates. Critical managerial implications are discussed…