{"title":"Nudging employee–AI co-evolution through the enhancement of knowledge capital in the hospitality industry","authors":"Yuqi Si , Mengxi Chen , Honggen Xiao","doi":"10.1016/j.ijhm.2025.104534","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid advancement of artificial intelligence (AI) is transforming the hospitality industry by reshaping knowledge management practices and redefining human–AI collaboration. This study investigates the co-evolutionary dynamics between employees and AI through the lens of organizational knowledge capital enhancement in hotels. Grounded in the knowledge-based view (KBV) and the socialization-externalization-combination-internalization (SECI) model, this research draws on interviews with employees from five-star hotels. Findings indicate that AI serves as an active participant in enhancing knowledge capital within hotel organizations. This involvement facilitates a three-phase evolution in employee–AI interaction: from coexistence to collaboration, and ultimately to co-creation. By contextualizing the SECI knowledge spiral within an employee–AI–employee dynamic with the theoretical perspective of KBV, this study advances the understanding of AI-enabled knowledge practices in hospitality workplaces and extends the applicability of these theoretical frameworks. Practically, the research offers hotel managers guidance on designing inclusive training systems, fostering collaborative environments, and strategically managing employee–AI relationships to translate AI investments into sustainable competitive advantages and long-term knowledge capital growth.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"134 ","pages":"Article 104534"},"PeriodicalIF":8.3000,"publicationDate":"2026-04-01","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/S0278431925004621","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid advancement of artificial intelligence (AI) is transforming the hospitality industry by reshaping knowledge management practices and redefining human–AI collaboration. This study investigates the co-evolutionary dynamics between employees and AI through the lens of organizational knowledge capital enhancement in hotels. Grounded in the knowledge-based view (KBV) and the socialization-externalization-combination-internalization (SECI) model, this research draws on interviews with employees from five-star hotels. Findings indicate that AI serves as an active participant in enhancing knowledge capital within hotel organizations. This involvement facilitates a three-phase evolution in employee–AI interaction: from coexistence to collaboration, and ultimately to co-creation. By contextualizing the SECI knowledge spiral within an employee–AI–employee dynamic with the theoretical perspective of KBV, this study advances the understanding of AI-enabled knowledge practices in hospitality workplaces and extends the applicability of these theoretical frameworks. Practically, the research offers hotel managers guidance on designing inclusive training systems, fostering collaborative environments, and strategically managing employee–AI relationships to translate AI investments into sustainable competitive advantages and long-term knowledge capital growth.
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.