{"title":"人工智能对酒店企业利润的影响建模:需求和生产力效应","authors":"Di (Judy) Zhu , Ming-Hsiang Chen","doi":"10.1016/j.ijhm.2025.104256","DOIUrl":null,"url":null,"abstract":"<div><div>By developing a price competition model with differentiated products, where artificial intelligence (AI) adoption influences service differentiation and pricing strategies, this study investigates how AI affects hospitality firm profit by accounting for both the positive and negative effects of AI on demand and productivity. Based on the Nash Equilibrium with optimal strategies, the theoretical model reveals a U-shaped relationship between AI application and firm profit, suggesting that long-term profit gains occur after surpassing a critical threshold. Empirical validation using dynamic panel data regression identifies this critical AI adoption threshold. Furthermore, piecewise regression provides deeper insights into AI’s evolving impact on demand and productivity across different stages of adoption, highlighting the nonlinear nature of AI’s influence and its strategic value in the hospitality industry.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"131 ","pages":"Article 104256"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling AI’s impact on hospitality firm profit: Demand and productivity effect\",\"authors\":\"Di (Judy) Zhu , Ming-Hsiang Chen\",\"doi\":\"10.1016/j.ijhm.2025.104256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>By developing a price competition model with differentiated products, where artificial intelligence (AI) adoption influences service differentiation and pricing strategies, this study investigates how AI affects hospitality firm profit by accounting for both the positive and negative effects of AI on demand and productivity. Based on the Nash Equilibrium with optimal strategies, the theoretical model reveals a U-shaped relationship between AI application and firm profit, suggesting that long-term profit gains occur after surpassing a critical threshold. Empirical validation using dynamic panel data regression identifies this critical AI adoption threshold. Furthermore, piecewise regression provides deeper insights into AI’s evolving impact on demand and productivity across different stages of adoption, highlighting the nonlinear nature of AI’s influence and its strategic value in the hospitality industry.</div></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":\"131 \",\"pages\":\"Article 104256\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-05-20\",\"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/S0278431925001793\",\"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/S0278431925001793","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}
Modeling AI’s impact on hospitality firm profit: Demand and productivity effect
By developing a price competition model with differentiated products, where artificial intelligence (AI) adoption influences service differentiation and pricing strategies, this study investigates how AI affects hospitality firm profit by accounting for both the positive and negative effects of AI on demand and productivity. Based on the Nash Equilibrium with optimal strategies, the theoretical model reveals a U-shaped relationship between AI application and firm profit, suggesting that long-term profit gains occur after surpassing a critical threshold. Empirical validation using dynamic panel data regression identifies this critical AI adoption threshold. Furthermore, piecewise regression provides deeper insights into AI’s evolving impact on demand and productivity across different stages of adoption, highlighting the nonlinear nature of AI’s influence and its strategic value in the 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.