{"title":"A study of employee attitudes towards AI, its effect on sustainable development goals and non-financial performance in independent hotels","authors":"","doi":"10.1016/j.ijhm.2024.103987","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the effect of hotel employees' readiness for and acceptance of Artificial Intelligence (AI), on hotels’ adoption of AI, and its subsequent impact on achieving Sustainable Development Goals (SDGs), as well as impact on non-financial performance (NFP), within the U.S. independent hotel sector. A novel survey instrument was devised, validated and administered to 1600 employees in independent hotels across the United States. Structural Equation Modelling (SEM) was employed to test the hypotheses derived from a conceptual framework. The results confirmed that employee readiness and acceptance of AI significantly affects AI and SDG adoption, and also positively impacted NFP metrics such as employee optimism, satisfaction and engagement. The study finds evidence of a pathway from employee engagement with AI to greater SDG adoption, and in turn, enhanced NFP. This highlights the significance of leveraging employee attitudes toward AI for more sustainable and effective performance in the hospitality sector.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-10-28","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/S0278431924002998","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
This study explores the effect of hotel employees' readiness for and acceptance of Artificial Intelligence (AI), on hotels’ adoption of AI, and its subsequent impact on achieving Sustainable Development Goals (SDGs), as well as impact on non-financial performance (NFP), within the U.S. independent hotel sector. A novel survey instrument was devised, validated and administered to 1600 employees in independent hotels across the United States. Structural Equation Modelling (SEM) was employed to test the hypotheses derived from a conceptual framework. The results confirmed that employee readiness and acceptance of AI significantly affects AI and SDG adoption, and also positively impacted NFP metrics such as employee optimism, satisfaction and engagement. The study finds evidence of a pathway from employee engagement with AI to greater SDG adoption, and in turn, enhanced NFP. This highlights the significance of leveraging employee attitudes toward AI for more sustainable and effective performance in the hospitality sector.
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.