{"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}
引用次数: 0
Abstract
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.
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