{"title":"How the elderly tackle age discrimination from human or AI servers","authors":"Guangmei Jia , Xiaoyan Luo , Lisa C. Wan","doi":"10.1016/j.annals.2025.103975","DOIUrl":null,"url":null,"abstract":"<div><div>Although the rapid expansion of digital services in the tourism and hospitality industry has highlighted instances of age discrimination perpetuated by artificial intelligence (AI), a significant research gap remains regarding how senior visitors respond to such discrimination. This study employs a mixed-methods approach to compare the reactions of senior tourists to age discrimination originating from AI versus human servers. The results showed that both human- and AI-driven discrimination reduced senior tourists' purchase likelihood compared to non-discriminatory scenarios. However, older tourists reacted less negatively to AI-driven (vs. human-driven) discrimination, which posed a smaller threat to their age-related self-worth. This effect was observed only when in-group customers (e.g., older customers) were present, but not when out-group customers (e.g., younger customers) were present.</div></div>","PeriodicalId":48452,"journal":{"name":"Annals of Tourism Research","volume":"113 ","pages":"Article 103975"},"PeriodicalIF":10.4000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Tourism Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160738325000817","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
Although the rapid expansion of digital services in the tourism and hospitality industry has highlighted instances of age discrimination perpetuated by artificial intelligence (AI), a significant research gap remains regarding how senior visitors respond to such discrimination. This study employs a mixed-methods approach to compare the reactions of senior tourists to age discrimination originating from AI versus human servers. The results showed that both human- and AI-driven discrimination reduced senior tourists' purchase likelihood compared to non-discriminatory scenarios. However, older tourists reacted less negatively to AI-driven (vs. human-driven) discrimination, which posed a smaller threat to their age-related self-worth. This effect was observed only when in-group customers (e.g., older customers) were present, but not when out-group customers (e.g., younger customers) were present.
期刊介绍:
The Annals of Tourism Research is a scholarly journal that focuses on academic perspectives related to tourism. The journal defines tourism as a global economic activity that involves travel behavior, management and marketing activities of service industries catering to consumer demand, the effects of tourism on communities, and policy and governance at local, national, and international levels. While the journal aims to strike a balance between theory and application, its primary focus is on developing theoretical constructs that bridge the gap between business and the social and behavioral sciences. The disciplinary areas covered in the journal include, but are not limited to, service industries management, marketing science, consumer marketing, decision-making and behavior, business ethics, economics and forecasting, environment, geography and development, education and knowledge development, political science and administration, consumer-focused psychology, and anthropology and sociology.