{"title":"Computer aided HR in the era of artificial intelligence","authors":"R. Sharma, J. Chandwani, Jay Kothari","doi":"10.17762/TURCOMAT.V12I9.3179","DOIUrl":null,"url":null,"abstract":"AI has immensely revolutionized the various human resource practices like, recruitment, employee engagement during work from home, compensation, benefits, and payroll etc leading to improved decision-making etc. However, it is imperative to understand the pre-requisites (i.e. skill sets and competencies) that HR professionals need to possess for successfully adapting AI and working effectively and efficiently in the era of uncertainty like the COVID times. The paper focuses on gathering insights from professional around the world in the area of AI and Human Resource Management. The methodology used in the paper is semi structured interview technique. The results of the study have been used to build the AI-HR readiness framework, which can be used to design various training programs for HR professionals to achieve a sustainable AI integration into HRM to ensure better preparedness to deal with uncertainties in business. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Computer and Mathematics Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17762/TURCOMAT.V12I9.3179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
人工智能时代的计算机辅助人力资源
人工智能极大地改变了各种人力资源实践,如招聘、员工在家工作期间的敬业度、薪酬、福利和工资等,从而改善了决策等。然而,必须了解人力资源专业人员需要具备的先决条件(即技能组合和能力),才能成功适应人工智能,并在COVID时代这样的不确定时代高效地工作。本文的重点是收集来自世界各地的专家在人工智能和人力资源管理领域的见解。本文采用的研究方法是半结构化访谈法。该研究的结果已被用于构建人工智能-人力资源准备框架,该框架可用于为人力资源专业人员设计各种培训计划,以实现人工智能与人力资源管理的可持续整合,以确保更好地应对业务中的不确定性。©2021卡拉德尼兹技术大学。版权所有。
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