{"title":"Conversational AI chatbots as counselors for hospitality employees","authors":"","doi":"10.1016/j.ijhm.2024.103861","DOIUrl":null,"url":null,"abstract":"<div><p>Considering the advancement of generative artificial intelligence and the mental health challenges faced by hospitality employees, this study proposes and tests a scenario of counseling hospitality employees using conversational AI chatbots in a mobile app. Survey data were collected from 553 hospitality employees in Japan. Findings reveal that employees’ expected psychological safety of AI chatbots can be improved by AI chatbots’ cuteness of appearance and emotional capability, and their expected service quality in using AI chatbots can be enhanced by cuteness of appearance, emotional capability, and psychological safety. The service quality of AI chatbots then causes their use intention, which then strengthens their willingness to recommend and help colleagues’ usage of AI chatbots for counseling. Moreover, employees’ general app fatigue can moderate the effects of AI chatbots’ cuteness of appearance on psychological safety and service quality. This study offers valuable practical implications for developing conversational AI chatbots for hospitality employees.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431924001737","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Considering the advancement of generative artificial intelligence and the mental health challenges faced by hospitality employees, this study proposes and tests a scenario of counseling hospitality employees using conversational AI chatbots in a mobile app. Survey data were collected from 553 hospitality employees in Japan. Findings reveal that employees’ expected psychological safety of AI chatbots can be improved by AI chatbots’ cuteness of appearance and emotional capability, and their expected service quality in using AI chatbots can be enhanced by cuteness of appearance, emotional capability, and psychological safety. The service quality of AI chatbots then causes their use intention, which then strengthens their willingness to recommend and help colleagues’ usage of AI chatbots for counseling. Moreover, employees’ general app fatigue can moderate the effects of AI chatbots’ cuteness of appearance on psychological safety and service quality. This study offers valuable practical implications for developing conversational AI chatbots for hospitality employees.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.