The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruitment Process

IF 3 Q2 MANAGEMENT
Gabriel Koman, Patrik Boršoš, Milan Kubina
{"title":"The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruitment Process","authors":"Gabriel Koman, Patrik Boršoš, Milan Kubina","doi":"10.3390/admsci14070157","DOIUrl":null,"url":null,"abstract":"The current business environment faces numerous new challenges closely linked to the rapid development of information and communication technologies, which influence the corporate landscape. This article focuses on exploring the possibilities of integrating artificial intelligence, as one of the key technologies of today, into the recruitment process. Its aim is to examine the potential applications of artificial intelligence across various stages of employee recruitment. To achieve this goal, the authors employed various methods and techniques, including the PICOS framework, scientific mapping, and case study analysis. The outcome of this study identifies opportunities for leveraging artificial intelligence in the employee recruitment process within corporate settings. The results reflect the current research gaps concerning the analysis of the personnel processes and conceptualizing the implementation possibilities of artificial intelligence in these processes. The contribution of this article to the academic community lies in its conceptualization, providing a foundation for further research focused on analyzing the impacts of integrating AI into recruitment processes.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Administrative Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/admsci14070157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

Abstract

The current business environment faces numerous new challenges closely linked to the rapid development of information and communication technologies, which influence the corporate landscape. This article focuses on exploring the possibilities of integrating artificial intelligence, as one of the key technologies of today, into the recruitment process. Its aim is to examine the potential applications of artificial intelligence across various stages of employee recruitment. To achieve this goal, the authors employed various methods and techniques, including the PICOS framework, scientific mapping, and case study analysis. The outcome of this study identifies opportunities for leveraging artificial intelligence in the employee recruitment process within corporate settings. The results reflect the current research gaps concerning the analysis of the personnel processes and conceptualizing the implementation possibilities of artificial intelligence in these processes. The contribution of this article to the academic community lies in its conceptualization, providing a foundation for further research focused on analyzing the impacts of integrating AI into recruitment processes.
将人工智能作为当前员工招聘流程中一项关键技术的可能性
当前的商业环境面临着许多新的挑战,这些挑战与影响企业格局的信息和通信技术的快速发展密切相关。人工智能是当今的关键技术之一,本文重点探讨将人工智能融入招聘流程的可能性。其目的是研究人工智能在员工招聘各个阶段的潜在应用。为实现这一目标,作者采用了各种方法和技术,包括 PICOS 框架、科学绘图和案例研究分析。本研究的成果确定了在企业员工招聘过程中利用人工智能的机会。研究结果反映了当前在分析人事流程和构思人工智能在这些流程中的实施可能性方面存在的研究空白。本文对学术界的贡献在于其概念化,为进一步研究分析将人工智能融入招聘流程的影响奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.80
自引率
10.00%
发文量
151
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信