HR Adoption and Perception of AI-Driven Recruitment: A Hybrid Approach for the IT Sector

作者
Thirumozhirajan Kayalvizhiroja,Jayasree Krishnan
标识
DOI:10.64229/xx2pfe50
摘要

The demand for fast, accurate, and fair recruitment processes in the IT sector continues to grow amid increasing competition for top talent. In many cases, traditional human resource systems can be inefficient, subjective, and time-consuming to implement, thus compelling organizations to find new ways to pursue human resource activities. The given research explores how Artificial Intelligence (AI) is a revolutionary approach to recruitment enhancements since it automates the most critical steps of the hiring process: resume screening, candidate sourcing, chatbot communication, and predictive analytics. It explores the perception of HR professionals and their adoption of these AI-led tools, as well as the opportunities and difficulties naturally associated with their integration. In addition, the study presents a proposal for a hybrid framework that integrates AI technologies and traditional HR practices to ensure the best possible results of the recruitment process, whilst considering ethical issues. Based on academic journal data, case studies, and industry reports as secondary data, the results provide useful information and strategic ideas that HR practitioners can use to ethically and efficiently exploit digital transformation in the new world of hiring.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
文艺冰凡的应助被科研通管家采纳,获得10
刚刚
斯文败类的应助被科研通管家采纳,获得10
1秒前
wanci的应助被科研通管家采纳,获得10
1秒前
小二郎的应助被科研通管家采纳,获得10
1秒前
喋喋的应助被科研通管家采纳,获得10
1秒前
领导范儿的应助被科研通管家采纳,获得10
1秒前
桐桐的应助被科研通管家采纳,获得10
1秒前
1秒前
CipherSage的应助被科研通管家采纳,获得10
1秒前
无极微光的应助被科研通管家采纳,获得20
1秒前
FashionBoy的应助被科研通管家采纳,获得10
2秒前
Owen的应助被科研通管家采纳,获得10
2秒前
Gc发布了新的文献求助10
2秒前
乐乐的应助被科研通管家采纳,获得10
2秒前
2秒前
顾矜的应助被科研通管家采纳,获得10
2秒前
慕青的应助被科研通管家采纳,获得10
2秒前
脑洞疼的应助被科研通管家采纳,获得10
2秒前
2秒前
搜集达人的应助被科研通管家采纳,获得10
3秒前
领导范儿的应助被科研通管家采纳,获得10
3秒前
3秒前
小情绪的应助被科研通管家采纳,获得10
3秒前
共享精神的应助被科研通管家采纳,获得30
3秒前
Orange的应助被科研通管家采纳,获得10
3秒前
俊逸子默的应助被科研通管家采纳,获得10
3秒前
无花果的应助被科研通管家采纳,获得10
3秒前
Orange的应助被小雒雒采纳,获得10
3秒前
顾矜的应助被科研通管家采纳,获得10
4秒前
4秒前
152455的应助被科研通管家采纳,获得10
4秒前
4秒前
Mason完成签到,获得积分10
4秒前
桐桐的应助被鱼卷采纳,获得10
4秒前
我是老大的应助被科研通管家采纳,获得10
4秒前
深情安青的应助被跳跳采纳,获得10
4秒前
汉堡包的应助被科研通管家采纳,获得10
4秒前
Jasper的应助被科研通管家采纳,获得10
4秒前
Abi的应助被科研通管家采纳,获得20
4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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Stochastic Models in Operations Research,Vol. 2 600
Organizational Behavior 510
Comprehensive Heterocyclic Chemistry IV 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8045658
求助须知:如何正确求助?哪些是违规求助? 9476723
关于积分的说明 21285600
捐赠科研通 7612937
什么是DOI,文献DOI怎么找? 3392232
关于科研通互助平台的介绍 2523664
邀请新用户注册赠送积分活动 2430237