Innovating HRM Recruitment: A Comprehensive Review Of AI Deployment

斯科普斯 人工智能应用 人力资源管理 知识管理 软件部署 人工智能 计算机科学 政治学 梅德林 法学 操作系统
作者
Rusudan Tsiskaridze,Karin Reinhold,Marina Järvis
出处
期刊:Marketing ì menedžment ìnnovacìj [Sumy State University]
卷期号:14 (4): 239-254 被引量:4
标识
DOI:10.21272/mmi.2023.4-18
摘要

Recently, the integration of digitalization has led to the prevalence of artificial intelligence (AI) in human resource management (HRM), such as the utilization of artificial intelligence (AI)-based applications during the recruitment process. These AI-driven technologies have risen to prominence due to their ability to facilitate synergistic collaboration between humans and computer intelligence to effectively achieve desired goals. This paper reviews the research conducted on AI-based HRM and its consequences for recruiting outcomes. The systematic literature review is based on a search within the Web of Science and Scopus databases, which resulted in 46 peer-reviewed journal articles published from 2019 to 2023. The findings of the study were divided into five categories: (a) AI-based HRM, (b) ethics of AI in HRM, (c) benefits of AI-enabled selection tools, (d) risks of AI-enabled selection tools, and (d) usage of AI in recruitment in different country contexts. This paper provides a general overview of AI-based HRM management and its duality and complexity. One of the toughest challenges for HRM is to maintain a collaborative spirit when human workers are with AI-enabled robots’ side by side. Organizations are required to perceive both the potential risk and the opportunities that AI recruiting tools may generate. From the perspective of article outcomes, the majority of related studies have been performed in African and Asian countries, which suggests that there is a lack of empirical studies in the European region. One of the major causes may be assumed to be legislation issues, precisely general data protection rules (GDPRs), which hinder the process of adopting technology-based recruiting tools. During AI decision making, fairness should be at the centre of the procedure. Despite some preferences for AI recruitment, such as streamlining HR tasks, this raises many ethical and legal issues that should be solved—at least balanced—not to leave feelings of unfairness among potential employees. AI-based technology solutions require significant time and effort to peacefully exist in the job market. HR managers should not have the feeling of danger of being replaced by AI recruiting tools. To combine best of both worlds, the collaboration of human resources and artificial intelligence is very prominent; however, surveillance of AI technologies should never be lost. This article sheds light on key trends in the literature and the main drivers and obstacles associated with the adoption of AI-enabled recruiting tools. There is growing academic interest in AI utilization in the HRM process, which has been discussed in the current paper. Additionally, future study recommendations are proposed.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LL完成签到 ,获得积分10
刚刚
1秒前
2秒前
玖Nine完成签到 ,获得积分10
3秒前
老实用户完成签到 ,获得积分10
3秒前
6秒前
Orange应助Abner采纳,获得10
6秒前
蓝天应助gww采纳,获得10
7秒前
莹莹完成签到 ,获得积分10
7秒前
lwj完成签到,获得积分10
7秒前
小米完成签到 ,获得积分10
9秒前
lulu完成签到,获得积分10
9秒前
10秒前
秦思远发布了新的文献求助10
11秒前
在水一方应助iiirving采纳,获得10
12秒前
12秒前
GUS关注了科研通微信公众号
13秒前
现代的芹完成签到,获得积分10
14秒前
isonomia完成签到,获得积分10
14秒前
14秒前
彭dada完成签到,获得积分10
14秒前
zhouye发布了新的文献求助10
16秒前
fklajlie完成签到,获得积分10
17秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
21秒前
21秒前
周二完成签到,获得积分10
21秒前
传奇3应助科研通管家采纳,获得50
22秒前
李健应助科研通管家采纳,获得10
22秒前
22秒前
斯文败类应助科研通管家采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Operational Bulk Evaporation Duct Model for MORIAH Version 1.2 1200
Signals, Systems, and Signal Processing 880
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Discrete-Time Signals and Systems 510
Clinical Efficacy of the Hydrogel Patch Containing Loxoprofen Sodium (LX-A) on Osteoarthritis of the Knee-A Randomized, Open Label Clinical Study with Ketoprofen Patch-(Phase III Therapeutic Confirmatory Study) 410
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5843831
求助须知:如何正确求助?哪些是违规求助? 6184693
关于积分的说明 15612672
捐赠科研通 4960692
什么是DOI,文献DOI怎么找? 2674467
邀请新用户注册赠送积分活动 1619339
关于科研通互助平台的介绍 1574534