Linxiang Lv , Siyun Chen , Gus Guanrong Liu , Pierre Benckendorff
{"title":"在奢侈品旅游营销中,通过人工智能驱动的个性化奢侈品推荐提高客户的生活满意度","authors":"Linxiang Lv , Siyun Chen , Gus Guanrong Liu , Pierre Benckendorff","doi":"10.1016/j.ijhm.2024.103914","DOIUrl":null,"url":null,"abstract":"<div><p>Empowered by artificial intelligence (AI), luxury tourism and hospitality brands are increasingly using personalized recommendations as a novel approach to engage customers in the pre-purchase phase. While considerable research exists on customers’ post-purchase responses to luxury tourism products, their psychological states driven by personalized recommendations during the pre-purchase stage are not well understood. Differing from traditional marketing strategies, personalized recommendations impart implicit social labels, often exclusive to the customers. Therefore, personalized luxury cues in tourism products, driven by AI, significantly contribute to customers’ positive self-perception due to their scarcity and exclusivity, further influencing their psychological states such as life satisfaction. Drawing upon self-perception theory, three scenario-based experiments across various tourism contexts were conducted to investigate this effect. Results reveal that personalized recommendations for luxury (vs. ordinary) tourism products can enhance customers’ life satisfaction by fostering perceived future self-growth. However, this positive effect is less pronounced under user-based recommendation framing.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"123 ","pages":"Article 103914"},"PeriodicalIF":9.9000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing customers’ life satisfaction through AI-powered personalized luxury recommendations in luxury tourism marketing\",\"authors\":\"Linxiang Lv , Siyun Chen , Gus Guanrong Liu , Pierre Benckendorff\",\"doi\":\"10.1016/j.ijhm.2024.103914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Empowered by artificial intelligence (AI), luxury tourism and hospitality brands are increasingly using personalized recommendations as a novel approach to engage customers in the pre-purchase phase. While considerable research exists on customers’ post-purchase responses to luxury tourism products, their psychological states driven by personalized recommendations during the pre-purchase stage are not well understood. Differing from traditional marketing strategies, personalized recommendations impart implicit social labels, often exclusive to the customers. Therefore, personalized luxury cues in tourism products, driven by AI, significantly contribute to customers’ positive self-perception due to their scarcity and exclusivity, further influencing their psychological states such as life satisfaction. Drawing upon self-perception theory, three scenario-based experiments across various tourism contexts were conducted to investigate this effect. Results reveal that personalized recommendations for luxury (vs. ordinary) tourism products can enhance customers’ life satisfaction by fostering perceived future self-growth. However, this positive effect is less pronounced under user-based recommendation framing.</p></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":\"123 \",\"pages\":\"Article 103914\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-09-16\",\"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/S0278431924002263\",\"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/S0278431924002263","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}
Enhancing customers’ life satisfaction through AI-powered personalized luxury recommendations in luxury tourism marketing
Empowered by artificial intelligence (AI), luxury tourism and hospitality brands are increasingly using personalized recommendations as a novel approach to engage customers in the pre-purchase phase. While considerable research exists on customers’ post-purchase responses to luxury tourism products, their psychological states driven by personalized recommendations during the pre-purchase stage are not well understood. Differing from traditional marketing strategies, personalized recommendations impart implicit social labels, often exclusive to the customers. Therefore, personalized luxury cues in tourism products, driven by AI, significantly contribute to customers’ positive self-perception due to their scarcity and exclusivity, further influencing their psychological states such as life satisfaction. Drawing upon self-perception theory, three scenario-based experiments across various tourism contexts were conducted to investigate this effect. Results reveal that personalized recommendations for luxury (vs. ordinary) tourism products can enhance customers’ life satisfaction by fostering perceived future self-growth. However, this positive effect is less pronounced under user-based recommendation framing.
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.