Assessing Hotel Attribute and Facilities to Online Hotel Popularity: Data Mining from Google

Muhammad Izharuddin () and Jeng-Chung Chen
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Muhammad Izharuddin: University of Surabaya
Jeng-Chung Chen: National Cheng Kung University

A chapter in Proceedings of the 20th International Symposium on Management (INSYMA 2023), 2024, pp 385-392 from Springer

Abstract: 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.

Keywords: Hotel; Facilities; Popularity; Data Mining (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-244-6_57

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DOI: 10.2991/978-94-6463-244-6_57

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