IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-14343-9_3.html
   My bibliography  Save this book chapter

What Types of Hotels Make Their Guests (Un)Happy? Text Analytics of Customer Experiences in Online Reviews

In: Information and Communication Technologies in Tourism 2015

Author

Listed:
  • Zheng Xiang

    (Pamplin College of Business, Virginia Tech)

  • Zvi Schwartz

    (University of Delaware)

  • Muzaffer Uysal

    (Pamplin College of Business, Virginia Tech)

Abstract

A hotel is a complex, experience-based product and thus, finding out what leads to guest satisfaction is a practically important question. In this study, we explored the usefulness of applying guest experience dimensions previously identified based upon authentic online customer reviews to understand what types of hotels make their guests (un)happy. Hotels were grouped by experience dimensions and satisfaction ratings using cluster analysis. Then, these hotel clusters were examined in relation to words in customer reviews with correspondence analysis. The findings show that there were different types of hotels with unique, salient traits that satisfied their customers, while those who failed to do so mostly had issues related to cleanliness and maintenance-related factors. This study demonstrates that consumer generated content such as customer reviews can be useful data sources to generate new insights into the nature of the hotel product. It also points to a promising direction to employ authentic consumer experience data to support perceptual mapping and market segmentation for the hospitality and tourism industry.

Suggested Citation

  • Zheng Xiang & Zvi Schwartz & Muzaffer Uysal, 2015. "What Types of Hotels Make Their Guests (Un)Happy? Text Analytics of Customer Experiences in Online Reviews," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 33-45, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-14343-9_3
    DOI: 10.1007/978-3-319-14343-9_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. José Luis Cornejo Ortega & Christopher D. Malcolm, 2020. "Touristic Stakeholders’ Perceptions about the Smart Tourism Destination Concept in Puerto Vallarta, Jalisco, Mexico," Sustainability, MDPI, vol. 12(5), pages 1-18, February.
    2. Estela Marine-Roig & Salvador Anton Clavé, 2016. "A detailed method for destination image analysis using user-generated content," Information Technology & Tourism, Springer, vol. 15(4), pages 341-364, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-14343-9_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.