{"title":"释放潜能:关于人工智能在人力资源管理中不断演变的作用的文献综述","authors":"Jiaxing Du","doi":"10.56397/fms.2024.02.05","DOIUrl":null,"url":null,"abstract":"This paper explores the evolution and strategic significance of Artificial Intelligence (AI) in Human Resource Management (HRM). Tracing AI’s journey from rudimentary automation to sophisticated systems, it focuses on the impact of AI, particularly in Natural Language Processing (NLP) for recruitment and AI-driven employee engagement solutions. The study delves into challenges, opportunities, and ethical considerations, aiming to identify gaps in existing knowledge. The research aims to provide a comprehensive understanding of the current state of AI integration in HRM, with key objectives including defining scope, exploring technologies, presenting case studies, and unravelling regulatory and ethical dimensions. This abstract sets the stage for a nuanced exploration of AI-HRM dynamics.","PeriodicalId":310548,"journal":{"name":"Frontiers in Management Science","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlocking the Potential: Literature Review on the Evolving Role of AI in HRM\",\"authors\":\"Jiaxing Du\",\"doi\":\"10.56397/fms.2024.02.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the evolution and strategic significance of Artificial Intelligence (AI) in Human Resource Management (HRM). Tracing AI’s journey from rudimentary automation to sophisticated systems, it focuses on the impact of AI, particularly in Natural Language Processing (NLP) for recruitment and AI-driven employee engagement solutions. The study delves into challenges, opportunities, and ethical considerations, aiming to identify gaps in existing knowledge. The research aims to provide a comprehensive understanding of the current state of AI integration in HRM, with key objectives including defining scope, exploring technologies, presenting case studies, and unravelling regulatory and ethical dimensions. This abstract sets the stage for a nuanced exploration of AI-HRM dynamics.\",\"PeriodicalId\":310548,\"journal\":{\"name\":\"Frontiers in Management Science\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56397/fms.2024.02.05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56397/fms.2024.02.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unlocking the Potential: Literature Review on the Evolving Role of AI in HRM
This paper explores the evolution and strategic significance of Artificial Intelligence (AI) in Human Resource Management (HRM). Tracing AI’s journey from rudimentary automation to sophisticated systems, it focuses on the impact of AI, particularly in Natural Language Processing (NLP) for recruitment and AI-driven employee engagement solutions. The study delves into challenges, opportunities, and ethical considerations, aiming to identify gaps in existing knowledge. The research aims to provide a comprehensive understanding of the current state of AI integration in HRM, with key objectives including defining scope, exploring technologies, presenting case studies, and unravelling regulatory and ethical dimensions. This abstract sets the stage for a nuanced exploration of AI-HRM dynamics.