Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait
{"title":"酒店业中的人工智能:从交易压力角度看酒店业员工的心理健康","authors":"Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait","doi":"10.1016/j.ijhm.2024.104029","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid technological development of Artificial Intelligence (AI) in the hospitality industry significantly influences the mental health of hospitality workers. Based on the transactional theory of stress and coping (TTSC), we examined how AI awareness among hospitality workers may influence their mental health symptoms (e.g. depression and anxiety as measured by the PHQ-4). We collected data from 258 hotel workers by using a time-lagged design with a one-month interval. Results showed that AI awareness contributed to depression and anxiety through role conflict. Furthermore, the AI-enabled human resource (HR) analytics and HR management (HRM) system strength moderated the relationship between AI awareness and role conflict. The moderating effect of AI-enabled HR analytics is facilitated by HRM system strength. Our model, which elucidates the complex mechanisms involved in how AI shapes workers’ mental health, carries important implications for understanding how hospitality organizations can effectively manage technological transformation while supporting workers’ mental health.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104029"},"PeriodicalIF":9.9000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers\",\"authors\":\"Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait\",\"doi\":\"10.1016/j.ijhm.2024.104029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid technological development of Artificial Intelligence (AI) in the hospitality industry significantly influences the mental health of hospitality workers. Based on the transactional theory of stress and coping (TTSC), we examined how AI awareness among hospitality workers may influence their mental health symptoms (e.g. depression and anxiety as measured by the PHQ-4). We collected data from 258 hotel workers by using a time-lagged design with a one-month interval. Results showed that AI awareness contributed to depression and anxiety through role conflict. Furthermore, the AI-enabled human resource (HR) analytics and HR management (HRM) system strength moderated the relationship between AI awareness and role conflict. The moderating effect of AI-enabled HR analytics is facilitated by HRM system strength. Our model, which elucidates the complex mechanisms involved in how AI shapes workers’ mental health, carries important implications for understanding how hospitality organizations can effectively manage technological transformation while supporting workers’ mental health.</div></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":\"126 \",\"pages\":\"Article 104029\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-12-05\",\"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/S0278431924003414\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431924003414","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}
Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers
The rapid technological development of Artificial Intelligence (AI) in the hospitality industry significantly influences the mental health of hospitality workers. Based on the transactional theory of stress and coping (TTSC), we examined how AI awareness among hospitality workers may influence their mental health symptoms (e.g. depression and anxiety as measured by the PHQ-4). We collected data from 258 hotel workers by using a time-lagged design with a one-month interval. Results showed that AI awareness contributed to depression and anxiety through role conflict. Furthermore, the AI-enabled human resource (HR) analytics and HR management (HRM) system strength moderated the relationship between AI awareness and role conflict. The moderating effect of AI-enabled HR analytics is facilitated by HRM system strength. Our model, which elucidates the complex mechanisms involved in how AI shapes workers’ mental health, carries important implications for understanding how hospitality organizations can effectively manage technological transformation while supporting workers’ mental health.
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.