{"title":"Machines replace human: The impact of intelligent automation job substitution risk on job tenure and career change among hospitality practitioners","authors":"Bocong Yuan, Xinyue Liu","doi":"10.1016/j.ijhm.2025.104099","DOIUrl":null,"url":null,"abstract":"<div><div>The intelligent automation job substitution risk reflects the probability of occupation being substituted by intelligent automation technology. This study examines the impact of the intelligent automation job substitution risk on the job tenure and the probability of career change from hospitality to other industries in the European region. Drawing from the second-hand data of the Survey of Health, Ageing and Retirement in Europe (SHARE) (Wave 7), we use the logit model and duration model in the regression analysis. Results show that: (1) intelligent automation job substitution risk has a U-shaped effect on job tenure; (2) intelligent automation job substitution risk has an inverted U-shaped effect on the probability of career change from hospitality to others; (3) There exists a significant U-shaped effect between the intelligent automation job substitution risk and the hazard rate of career change from hospitality to others; (4) The intelligent automation job substitution risk has an inverted U-shaped effect on the duration that the event of career change from hospitality to others happens. It is suggested that although there is damaging impact of intelligent automation job substitution risk on hospitality workforce’s job tenure and the probability of career change, it shows alleviation when the automation level approaching tipping point.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104099"},"PeriodicalIF":9.9000,"publicationDate":"2025-01-12","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/S0278431925000222","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
The intelligent automation job substitution risk reflects the probability of occupation being substituted by intelligent automation technology. This study examines the impact of the intelligent automation job substitution risk on the job tenure and the probability of career change from hospitality to other industries in the European region. Drawing from the second-hand data of the Survey of Health, Ageing and Retirement in Europe (SHARE) (Wave 7), we use the logit model and duration model in the regression analysis. Results show that: (1) intelligent automation job substitution risk has a U-shaped effect on job tenure; (2) intelligent automation job substitution risk has an inverted U-shaped effect on the probability of career change from hospitality to others; (3) There exists a significant U-shaped effect between the intelligent automation job substitution risk and the hazard rate of career change from hospitality to others; (4) The intelligent automation job substitution risk has an inverted U-shaped effect on the duration that the event of career change from hospitality to others happens. It is suggested that although there is damaging impact of intelligent automation job substitution risk on hospitality workforce’s job tenure and the probability of career change, it shows alleviation when the automation level approaching tipping point.
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.