{"title":"The role of chatgpt on customer service in the hospitality industry: An exploratory study of hospitality workers' experiences and perceptions","authors":"Pongsakorn Limna, Tanpat Kraiwanit","doi":"10.20867/thm.29.4.9","DOIUrl":null,"url":null,"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.","PeriodicalId":45185,"journal":{"name":"Tourism and Hospitality Management-Croatia","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism and Hospitality Management-Croatia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20867/thm.29.4.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Tourism and Hospitality Management is an international, multidisciplinary, open access journal, aiming to promote and enhance research in all fields of the tourism and hospitality industry. It publishes double-blind reviewed papers and encourages an interchange between tourism and hospitality researchers, educators and managers. Editors of Tourism and Hospitality Management strongly promote research integrity and aim to prevent any type of scientific misconduct, such as: fabrication, falsification, plagiarism, redundant publication and authorship problems. All submitted manuscripts are checked using Crossref Similarity Check (iThenticate). Nurturing a scientifically based approach to research, the journal publishes original papers along with empirical research and theoretical articles that contribute to the conceptual development of tourism and hospitality management. Editors look particularly for articles about new trends, challenges and developments, as well as the application of new ideas that are likely to affect the tourism and hospitality industry. The general criteria for the acceptance of articles are: contribution to the scientific knowledge in the field of tourism and hospitality management, scientifically reliable research methodology, relevant literature review and quality of the English language.