{"title":"Does consumers’ reveal engagement behaviours in artificial intelligence (AI)-based technologies? The dynamics of perceived value and self-congruence","authors":"Raouf Ahmad Rather","doi":"10.1016/j.ijhm.2024.103989","DOIUrl":null,"url":null,"abstract":"<div><div>Although tourism service-environments have increasingly used artificial intelligence (AI), limited research has explored the dynamics of AI-related factors on consumer engagement and behaviours in AI-based hotel service environment. Responding this gap, following Stimulus-Organism-Response (SOR)-perspective, this research analyzes the effects of consumers’ AI-perceived performance-expectancy, effort-expectancy, perceived-trust and anthropomorphism on perceived-value, consumer-engagement-behaviours (CEBs) and adoption intention in hotel context. Using online-survey, data has been collected from Indian hotel-consumers, who had previously adopted AI-technologies/services, examined through partial least squares-structural equation modeling. First, results exposed significant impact of AI-perceived performance expectancy, effort-expectancy, trust and anthropomorphism on perceived value. Second, results uncovered that perceived value’s positive influence on CEBs and adoption intention. Third, perceived value mediated the relationship among proposed factors. Finally, findings showed a positive moderating interaction-effect of self-congruence between perceived-value and CEBs/adoption intention. This research offers key theoretical and managerial contributions to AI-related factors, AI-technologies/services, perceived value and CEBs in hospitality industry.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 103989"},"PeriodicalIF":9.9000,"publicationDate":"2025-01-17","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/S0278431924003013","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 tourism service-environments have increasingly used artificial intelligence (AI), limited research has explored the dynamics of AI-related factors on consumer engagement and behaviours in AI-based hotel service environment. Responding this gap, following Stimulus-Organism-Response (SOR)-perspective, this research analyzes the effects of consumers’ AI-perceived performance-expectancy, effort-expectancy, perceived-trust and anthropomorphism on perceived-value, consumer-engagement-behaviours (CEBs) and adoption intention in hotel context. Using online-survey, data has been collected from Indian hotel-consumers, who had previously adopted AI-technologies/services, examined through partial least squares-structural equation modeling. First, results exposed significant impact of AI-perceived performance expectancy, effort-expectancy, trust and anthropomorphism on perceived value. Second, results uncovered that perceived value’s positive influence on CEBs and adoption intention. Third, perceived value mediated the relationship among proposed factors. Finally, findings showed a positive moderating interaction-effect of self-congruence between perceived-value and CEBs/adoption intention. This research offers key theoretical and managerial contributions to AI-related factors, AI-technologies/services, perceived value and CEBs in hospitality industry.
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.