IDEAS home Printed from https://ideas.repec.org/a/tho/journl/v29y2023n4p583-592.html
   My bibliography  Save this article

The role of chatgpt on customer service in the hospitality industry: An exploratory study of hospitality workers' experiences and perceptions

Author

Listed:
  • Pongsakorn Limna

    (Digital Economy Program, Faculty of Economics, Rangsit University, Thailand)

  • Tanpat Kraiwani

    (Digital Economy Program, Faculty of Economics, Rangsit University, Thailand)

Abstract

Purpose – This study explains the impact of ChatGPT, an artificial intelligence (AI) language model, on customer service in the hospitality industry by exploring the experiences and perceptions of hospitality employees who have utilized ChatGPT in their customer interactions. Methodology – A qualitative approach was adopted using in-depth interviews to collect data from a heterogeneous group of 15 individuals consisting of employees, managers, and other stakeholders directly involved in the hospitality industry in Krabi, Thailand. Findings – Integrating ChatGPT into customer service in the hospitality industry has a significant positive impact. It improves employee skills and knowledge, bridges language barriers, provides valuable recommendations, and helps with productivity and workflow management. In conclusion, ChatGPT is a valuable tool for improving customer service in the hospitality industry, ultimately contributing to a better overall guest experience. Originality of the research – Limited research has been conducted on the specific impact of ChatGPT in the hospitality industry, particularly in Krabi, a popular tourist destination in Thailand. This study aims to fill this gap by examining how ChatGPT affects customer service in the hospitality industry of Krabi, Thailand, and shedding light on its impact.

Suggested Citation

  • Pongsakorn Limna & Tanpat Kraiwani, 2023. "The role of chatgpt on customer service in the hospitality industry: An exploratory study of hospitality workers' experiences and perceptions," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 29(4), pages 583-592, December.
  • Handle: RePEc:tho:journl:v:29:y:2023:n:4:p:583-592
    DOI: https://doi.org/10.20867/thm.29.4.9
    as

    Download full text from publisher

    File URL: https://hrcak.srce.hr/clanak/447573
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.20867/thm.29.4.9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ChatGPT; Hospitality Industry; Customer Service; Artificial Intelligence (AI) Technology; Customer Interactions;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    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:tho:journl:v:29:y:2023:n:4:p:583-592. 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: Ana Montan (email available below). General contact details of provider: http://www.fthm.uniri.hr/ .

    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.