{"title":"My coworker is a robot: The impact of collaboration with AI on employees' impression management concerns and organizational citizenship behavior","authors":"Shizhen Bai, Xiaoxue Zhang","doi":"10.1016/j.ijhm.2025.104179","DOIUrl":null,"url":null,"abstract":"<div><div>Employees care about how others perceive them in organizations; what if this “other” is a robot? This research aims to investigate the impact of collaboration with AI (CWAI) on the impression management concerns (IMC) of employees in the catering and hotel industry, as well as the boundary conditions of this impact. The results of two experiments show that CWAI reduces employees' IMC, and AI anthropomorphism (AIA) moderates this relationship, such that highly anthropomorphic AI attenuates the negative influence of CWAI on employees’ IMC. We further explored the subsequent consequences of CWAI's impact on IMC. Through a field survey, we found that CWAI reduces employees' Organizational Citizenship Behavior (OCB) by lowering their IMC, and the moderating role of AIA is further validated. This study contributes to the AI literature from the perspective of organizational behavior, elucidating the impact of AI on employees’ IMC and its indirect influence on their OCB.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"128 ","pages":"Article 104179"},"PeriodicalIF":9.9000,"publicationDate":"2025-03-19","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/S0278431925001021","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
Employees care about how others perceive them in organizations; what if this “other” is a robot? This research aims to investigate the impact of collaboration with AI (CWAI) on the impression management concerns (IMC) of employees in the catering and hotel industry, as well as the boundary conditions of this impact. The results of two experiments show that CWAI reduces employees' IMC, and AI anthropomorphism (AIA) moderates this relationship, such that highly anthropomorphic AI attenuates the negative influence of CWAI on employees’ IMC. We further explored the subsequent consequences of CWAI's impact on IMC. Through a field survey, we found that CWAI reduces employees' Organizational Citizenship Behavior (OCB) by lowering their IMC, and the moderating role of AIA is further validated. This study contributes to the AI literature from the perspective of organizational behavior, elucidating the impact of AI on employees’ IMC and its indirect influence on their OCB.
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.