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

In: Proceedings of the 20th International Symposium on Management (INSYMA 2023)

Author

Listed:
  • Muhammad Izharuddin

    (University of Surabaya)

  • Jeng-Chung Chen

    (National Cheng Kung University)

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.

Suggested Citation

  • Muhammad Izharuddin & Jeng-Chung Chen, 2024. "Assessing Hotel Attribute and Facilities to Online Hotel Popularity: Data Mining from Google," Advances in Economics, Business and Management Research, in: Werner Ria Murhadi & Dudi Anandya & Noviaty Kresna Darmasetiawan & Juliani Dyah Trisnawati & Putu An (ed.), Proceedings of the 20th International Symposium on Management (INSYMA 2023), pages 385-392, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-244-6_57
    DOI: 10.2991/978-94-6463-244-6_57
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