Somang Min , Jennifer E. Martinez , Betsy Bender Stringam
{"title":"Adoption of semiautonomous food delivery robots: Employee experiences and workplace adaptation","authors":"Somang Min , Jennifer E. Martinez , Betsy Bender Stringam","doi":"10.1016/j.ijhm.2025.104274","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of robotics in the hospitality industry is growing. Yet little attention has been given to the changes robots bring to employees' experiences and work environments. Clear guidance on best practices for implementation is also lacking. This study used semi-structured interviews with foodservice workers to assess the integration of semiautonomous food delivery robots. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study examined key adoption factors. Additional factors such as job fulfillment, autonomy, and communication emerged as critical influences on employee adaptation and acceptance of the robots. These factors complement the UTAUT2 factors, such as performance expectancy, effort expectancy, and social influence by highlighting unique workplace dynamics in the hospitality sector. Our findings introduce a new model: the UTAUT model for Robotics in the Service Industry (UTAUT-RS), offering a more tailored framework for understanding employee acceptance of robotics in hospitality and service contexts.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"130 ","pages":"Article 104274"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-13","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/S0278431925001975","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 integration of robotics in the hospitality industry is growing. Yet little attention has been given to the changes robots bring to employees' experiences and work environments. Clear guidance on best practices for implementation is also lacking. This study used semi-structured interviews with foodservice workers to assess the integration of semiautonomous food delivery robots. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study examined key adoption factors. Additional factors such as job fulfillment, autonomy, and communication emerged as critical influences on employee adaptation and acceptance of the robots. These factors complement the UTAUT2 factors, such as performance expectancy, effort expectancy, and social influence by highlighting unique workplace dynamics in the hospitality sector. Our findings introduce a new model: the UTAUT model for Robotics in the Service Industry (UTAUT-RS), offering a more tailored framework for understanding employee acceptance of robotics in hospitality and service contexts.
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.