{"title":"引领人类与人工智能协作的前景:对工作生活质量和工作投入的影响","authors":"Tung-Ju Wu, Ruo-Xi Zhang, Ziqiong Zhang","doi":"10.1016/j.jhtm.2025.02.005","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence (AI) systems are progressively exerting an influence on hotel employees. Drawing on self-determination theory, we proposed a model to explore how human-AI collaboration affects hotel employees' quality of work life and work engagement. To investigate research hypotheses, we analyzed two-wave data from 475 hotel employees who regularly collaborate with AI in their daily tasks. Our findings indicate that human-AI collaboration positively affected work engagement by meeting employees’ basic needs of quality of work life and growth needs of quality of work life. Moreover, we discovered that person-job fit strengthened above relationship. Theoretical and practical implications are discussed to provide additional insights.</div></div>","PeriodicalId":51445,"journal":{"name":"Journal of Hospitality and Tourism Management","volume":"62 ","pages":"Pages 276-283"},"PeriodicalIF":7.8000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the human-artificial intelligence collaboration landscape: Impact on quality of work life and work engagement\",\"authors\":\"Tung-Ju Wu, Ruo-Xi Zhang, Ziqiong Zhang\",\"doi\":\"10.1016/j.jhtm.2025.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial intelligence (AI) systems are progressively exerting an influence on hotel employees. Drawing on self-determination theory, we proposed a model to explore how human-AI collaboration affects hotel employees' quality of work life and work engagement. To investigate research hypotheses, we analyzed two-wave data from 475 hotel employees who regularly collaborate with AI in their daily tasks. Our findings indicate that human-AI collaboration positively affected work engagement by meeting employees’ basic needs of quality of work life and growth needs of quality of work life. Moreover, we discovered that person-job fit strengthened above relationship. Theoretical and practical implications are discussed to provide additional insights.</div></div>\",\"PeriodicalId\":51445,\"journal\":{\"name\":\"Journal of Hospitality and Tourism Management\",\"volume\":\"62 \",\"pages\":\"Pages 276-283\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hospitality and Tourism Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1447677025000257\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1447677025000257","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Navigating the human-artificial intelligence collaboration landscape: Impact on quality of work life and work engagement
Artificial intelligence (AI) systems are progressively exerting an influence on hotel employees. Drawing on self-determination theory, we proposed a model to explore how human-AI collaboration affects hotel employees' quality of work life and work engagement. To investigate research hypotheses, we analyzed two-wave data from 475 hotel employees who regularly collaborate with AI in their daily tasks. Our findings indicate that human-AI collaboration positively affected work engagement by meeting employees’ basic needs of quality of work life and growth needs of quality of work life. Moreover, we discovered that person-job fit strengthened above relationship. Theoretical and practical implications are discussed to provide additional insights.
期刊介绍:
Journal Name: Journal of Hospitality and Tourism Management
Affiliation: Official journal of CAUTHE (Council for Australasian Tourism and Hospitality Education Inc.)
Scope:
Broad range of topics including:
Tourism and travel management
Leisure and recreation studies
Emerging field of event management
Content:
Contains both theoretical and applied research papers
Encourages submission of results of collaborative research between academia and industry.