Jacques Bulchand-Gidumal , Gabriela Cabello-Pestano , Santiago Melián-González
{"title":"酒店和旅游业中的机器人和人工智能自动化:基于能力的方法","authors":"Jacques Bulchand-Gidumal , Gabriela Cabello-Pestano , Santiago Melián-González","doi":"10.1016/j.ijhm.2025.104456","DOIUrl":null,"url":null,"abstract":"<div><div>There is currently debate about whether digital technologies, such as robotics and AI, will be able to automate jobs in the service sector. An analysis based on the abilities required in each job could be a useful method for addressing this question. In this research, we analyze the probability of automation for four hospitality occupations (i.e., chambermaids, chefs/cooks, receptionists, and waiters/waitresses) based on the abilities required in each. We assessed the probability of automation for each of the required abilities by asking 43 computer science academics with AI and robotics experience. We asked the academics about the capacity of robotics and AI to perform the abilities in three time periods: the present, in the medium-term, and in the long-term. Using this ability-based approach, our results indicate that the probability of automation of these jobs is.72,.83 and.91 in the short, medium, and long term, respectively.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"133 ","pages":"Article 104456"},"PeriodicalIF":8.3000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robotics and AI automation in hospitality and tourism: An ability-based approach\",\"authors\":\"Jacques Bulchand-Gidumal , Gabriela Cabello-Pestano , Santiago Melián-González\",\"doi\":\"10.1016/j.ijhm.2025.104456\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>There is currently debate about whether digital technologies, such as robotics and AI, will be able to automate jobs in the service sector. An analysis based on the abilities required in each job could be a useful method for addressing this question. In this research, we analyze the probability of automation for four hospitality occupations (i.e., chambermaids, chefs/cooks, receptionists, and waiters/waitresses) based on the abilities required in each. We assessed the probability of automation for each of the required abilities by asking 43 computer science academics with AI and robotics experience. We asked the academics about the capacity of robotics and AI to perform the abilities in three time periods: the present, in the medium-term, and in the long-term. Using this ability-based approach, our results indicate that the probability of automation of these jobs is.72,.83 and.91 in the short, medium, and long term, respectively.</div></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":\"133 \",\"pages\":\"Article 104456\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2025-09-12\",\"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/S0278431925003846\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431925003846","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}
Robotics and AI automation in hospitality and tourism: An ability-based approach
There is currently debate about whether digital technologies, such as robotics and AI, will be able to automate jobs in the service sector. An analysis based on the abilities required in each job could be a useful method for addressing this question. In this research, we analyze the probability of automation for four hospitality occupations (i.e., chambermaids, chefs/cooks, receptionists, and waiters/waitresses) based on the abilities required in each. We assessed the probability of automation for each of the required abilities by asking 43 computer science academics with AI and robotics experience. We asked the academics about the capacity of robotics and AI to perform the abilities in three time periods: the present, in the medium-term, and in the long-term. Using this ability-based approach, our results indicate that the probability of automation of these jobs is.72,.83 and.91 in the short, medium, and long term, respectively.
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.