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.

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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  -