{"title":"Is human-RAISA collaboration the future of hospitality service? Examining Gen Z’s preferences and industry insights from China and Australia","authors":"Mengni Fu, Charles Arcodia, Barry Fraser","doi":"10.1016/j.ijhm.2026.104565","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates Generation Z consumers' preferences for hotel service approaches and RAISA (robots, artificial intelligence, and service automation) integration, examining their alignment with hotel strategies in China and Australia. Using a mixed-methods approach, including interviews with 21 senior hotel managers, analysis of 70 documents, and a survey of 800 Gen Z consumers, the findings reveal a shared preference for a human-RAISA collaborative service approach among hotel operators and Gen Z consumers in both countries. However, significant cross-country differences emerged: Chinese hotels lead in AI and robot adoption, while Australian hotels prioritise established mobile technologies. Chinese Gen Z consumers exhibit stronger preferences for technological services and RAISA-equipped hotels. Regression analyses further show that Gen Zs' technology preferences drive their intention to visit RAISA-equipped hotels. This study extends the Kano model's application from service refinement to exploring technology preferences, while offering practical RAISA integration strategies tailored to hotels’ profiles and locations.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"134 ","pages":"Article 104565"},"PeriodicalIF":8.3000,"publicationDate":"2026-04-01","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/S0278431926000125","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates Generation Z consumers' preferences for hotel service approaches and RAISA (robots, artificial intelligence, and service automation) integration, examining their alignment with hotel strategies in China and Australia. Using a mixed-methods approach, including interviews with 21 senior hotel managers, analysis of 70 documents, and a survey of 800 Gen Z consumers, the findings reveal a shared preference for a human-RAISA collaborative service approach among hotel operators and Gen Z consumers in both countries. However, significant cross-country differences emerged: Chinese hotels lead in AI and robot adoption, while Australian hotels prioritise established mobile technologies. Chinese Gen Z consumers exhibit stronger preferences for technological services and RAISA-equipped hotels. Regression analyses further show that Gen Zs' technology preferences drive their intention to visit RAISA-equipped hotels. This study extends the Kano model's application from service refinement to exploring technology preferences, while offering practical RAISA integration strategies tailored to hotels’ profiles and locations.
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.