{"title":"The two faces of Artificial Intelligence (AI): Analyzing how AI usage shapes employee behaviors in the hospitality industry","authors":"Yunshuo Liu , Yanbin Li , Keni Song , Fulei Chu","doi":"10.1016/j.ijhm.2024.103875","DOIUrl":null,"url":null,"abstract":"<div><p>AI has become a critical technology driving societal advancement and impacting various sectors, including hospitality. Technology has social attributes, and employees play a major role in its application. Exploring the impact of AI usage on employee behaviors is essential. Drawing on the conservation of resources theory and the approach/avoidance systems theory, this study constructs a dual-path model to explore the effect of AI usage on employee behaviors. Data from 280 hotel employees in China were collected at three time points. Results show that AI usage enhance technological self-efficacy of employees, thereby promoting prosocial service behavior. Conversely, it could also induce workplace anxiety of employees, consequently leading to work withdrawal behavior. An approach orientation amplified the impact of AI usage on technological self-efficacy, while an avoidance orientation heightened the impact of AI usage on workplace anxiety. The study discussed the theoretical and practical implications and offers suggestions for future research.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"122 ","pages":"Article 103875"},"PeriodicalIF":8.3000,"publicationDate":"2024-07-29","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/S0278431924001877","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
AI has become a critical technology driving societal advancement and impacting various sectors, including hospitality. Technology has social attributes, and employees play a major role in its application. Exploring the impact of AI usage on employee behaviors is essential. Drawing on the conservation of resources theory and the approach/avoidance systems theory, this study constructs a dual-path model to explore the effect of AI usage on employee behaviors. Data from 280 hotel employees in China were collected at three time points. Results show that AI usage enhance technological self-efficacy of employees, thereby promoting prosocial service behavior. Conversely, it could also induce workplace anxiety of employees, consequently leading to work withdrawal behavior. An approach orientation amplified the impact of AI usage on technological self-efficacy, while an avoidance orientation heightened the impact of AI usage on workplace anxiety. The study discussed the theoretical and practical implications and offers suggestions for future research.
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.