{"title":"Artificial Intelligence (AI) in Human Resource Management (HRM): A driver of organizational dehumanization and negative employee reactions","authors":"Hyejo Hailey Shin , Sungwoo Choi , Hyunsu Kim","doi":"10.1016/j.ijhm.2025.104230","DOIUrl":null,"url":null,"abstract":"<div><div>Recognizing the growing use of artificial intelligence (AI) in human resource management, this research aimed to investigate the impact of AI’s involvement in HR operations on employee reactions. Study 1 examined the positive impact of AI’s involvement in HR operations on turnover intention, mediated by organizational dehumanization in the promotion decision context. In the performance evaluation context, Study 2 investigated the effect of AI’s involvement in HR operations on behavioral (turnover intention) and attitudinal (affective commitment) reactions, via organizational dehumanization. Study 3 tested organizational climate as the boundary condition in the relationships between AI’s involvement in HR operations, organizational dehumanization, and employee reactions, with an additional behavioral reaction (punishing behavior). The findings showed that AI’s involvement in HR operations leads to increased organizational dehumanization, thereby evoking negative employee reactions. Furthermore, the effect of AI’s involvement in HR operations was found to be more salient in organizations with a collaborative climate.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"131 ","pages":"Article 104230"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-26","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/S0278431925001537","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
Recognizing the growing use of artificial intelligence (AI) in human resource management, this research aimed to investigate the impact of AI’s involvement in HR operations on employee reactions. Study 1 examined the positive impact of AI’s involvement in HR operations on turnover intention, mediated by organizational dehumanization in the promotion decision context. In the performance evaluation context, Study 2 investigated the effect of AI’s involvement in HR operations on behavioral (turnover intention) and attitudinal (affective commitment) reactions, via organizational dehumanization. Study 3 tested organizational climate as the boundary condition in the relationships between AI’s involvement in HR operations, organizational dehumanization, and employee reactions, with an additional behavioral reaction (punishing behavior). The findings showed that AI’s involvement in HR operations leads to increased organizational dehumanization, thereby evoking negative employee reactions. Furthermore, the effect of AI’s involvement in HR operations was found to be more salient in organizations with a collaborative climate.
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.