{"title":"ChatGPT or online review: Which is a better determinant of customers’ trust in Airbnb listings and stay intention?","authors":"","doi":"10.1016/j.ijhm.2024.103852","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the dynamic interaction effects of information sources for Airbnb listings, psychological social distance, and Airbnb classification on trust in Airbnb listings, leading to stay intention based on the construal level theory. A 2 (information sources for Airbnb listings: ChatGPT vs. online review) × 2 (psychological social distance: near vs far) × 2 (Airbnb classification: standard Airbnb vs. Airbnb Luxe) between-subjects experiment was conducted. Key findings revealed the mediating role of trust in Airbnb listings in the relationship between information sources for Airbnb listings and stay intention. In addition, for Airbnb Luxe, in an interaction with ChatGPT, a near (vs. far) psychological social distance results in a higher level of trust in Airbnb listings. Conversely, in an interaction effect with online reviews, a far (vs. near) psychological social distance results in a higher level of trust.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-07-25","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/S0278431924001646","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
This study investigates the dynamic interaction effects of information sources for Airbnb listings, psychological social distance, and Airbnb classification on trust in Airbnb listings, leading to stay intention based on the construal level theory. A 2 (information sources for Airbnb listings: ChatGPT vs. online review) × 2 (psychological social distance: near vs far) × 2 (Airbnb classification: standard Airbnb vs. Airbnb Luxe) between-subjects experiment was conducted. Key findings revealed the mediating role of trust in Airbnb listings in the relationship between information sources for Airbnb listings and stay intention. In addition, for Airbnb Luxe, in an interaction with ChatGPT, a near (vs. far) psychological social distance results in a higher level of trust in Airbnb listings. Conversely, in an interaction effect with online reviews, a far (vs. near) psychological social distance results in a higher level of trust.
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.
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