Assessing Hotel Attribute and Facilities to Online Hotel Popularity: Data Mining from Google
- DOI
- 10.2991/978-94-6463-244-6_57How to use a DOI?
- Keywords
- Hotel; Facilities; Popularity; Data Mining
- Abstract
Today’s online consumer reviews are one of the most important elements for hotel marketing. This study examines how hotel facilities, prices, and ratings can affect online reviews of hotel consumers. Using a data mining approach from 1,248 hotels in major cities in Indonesia, this paper estimates the trigger factors for online consumer reviews, including ratings, stars, price, and other facilities (Parking, Wi-Fi, AC, Pool, breakfast, and spa). 2.5 million hotel reviews from the Google platform were collected and analyzed using regression. Empirical evidence shows the relative influence of facilities, absolute rating, stars, and price factors on the popularity of online hotels. These findings provide a managerial basis for enhancing a hotel’s online presence across multiple platforms by strategically leveraging review factors of importance.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Muhammad Izharuddin AU - Jeng-Chung Chen PY - 2023 DA - 2023/09/30 TI - Assessing Hotel Attribute and Facilities to Online Hotel Popularity: Data Mining from Google BT - Proceedings of the 20th International Symposium on Management (INSYMA 2023) PB - Atlantis Press SP - 385 EP - 392 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-244-6_57 DO - 10.2991/978-94-6463-244-6_57 ID - Izharuddin2023 ER -