Unlock the Art of People Analytics through Workforce Competency Management

G. Babu, Shivaprasad Govindappa
{"title":"Unlock the Art of People Analytics through Workforce Competency Management","authors":"G. Babu, Shivaprasad Govindappa","doi":"10.56294/saludcyt2022245","DOIUrl":null,"url":null,"abstract":"Data application in organizations has shifted its focus to meeting the legal requirements of employment. This shift in data use gradually altered the dynamics of the Human Resource Management (HRM) role, and organizations now expect high-quality analysis from HR professionals.\nVarious studies suggested that the use of Human Resource Analytics (HRA) would assist HR professionals in developing diverse viewpoints on their contribution to the financial targets of organizations through the creation of suitable measurements. Still, not many researchers have explored the role of HRA in increasing the business outcomes of Indian organizations. In this study, we analysed the role of HRA competencies in determining business outcomes as well as examined the gap existing in the expected and existing competencies of HR analysts in Indian organizations.\nOur in-depth literature review prepared a conceptual framework based on Capability Motivation and Opportunity (CMO) model. A quantitative methodology was adopted to gather the data as it integrates the components of HRA competency and measures their impact on business outcomes. A structured questionnaire was designed and distributed to 230 HR professionals, including HRA users as well as HR managers who work in different organizations in the city of Bengaluru. The data were analysed using various statistical tools and SPSS software. Overall, our study provides a significant depiction of the role of HRA in determining business outcomes, as well as the gap between the competencies demonstrated by HR analysts and the competency levels expected of them.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Salud Ciencia y Tecnología","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56294/saludcyt2022245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Data application in organizations has shifted its focus to meeting the legal requirements of employment. This shift in data use gradually altered the dynamics of the Human Resource Management (HRM) role, and organizations now expect high-quality analysis from HR professionals. Various studies suggested that the use of Human Resource Analytics (HRA) would assist HR professionals in developing diverse viewpoints on their contribution to the financial targets of organizations through the creation of suitable measurements. Still, not many researchers have explored the role of HRA in increasing the business outcomes of Indian organizations. In this study, we analysed the role of HRA competencies in determining business outcomes as well as examined the gap existing in the expected and existing competencies of HR analysts in Indian organizations. Our in-depth literature review prepared a conceptual framework based on Capability Motivation and Opportunity (CMO) model. A quantitative methodology was adopted to gather the data as it integrates the components of HRA competency and measures their impact on business outcomes. A structured questionnaire was designed and distributed to 230 HR professionals, including HRA users as well as HR managers who work in different organizations in the city of Bengaluru. The data were analysed using various statistical tools and SPSS software. Overall, our study provides a significant depiction of the role of HRA in determining business outcomes, as well as the gap between the competencies demonstrated by HR analysts and the competency levels expected of them.
通过劳动力能力管理解锁人员分析的艺术
组织中的数据应用已将其重点转移到满足就业的法律要求上。数据使用的这种转变逐渐改变了人力资源管理(HRM)角色的动态,组织现在期望人力资源专业人员提供高质量的分析。各种研究表明,使用人力资源分析(HRA)可以帮助人力资源专业人员通过创建合适的测量方法,对他们对组织财务目标的贡献形成不同的观点。然而,并没有多少研究人员探索人力资源管理在提高印度企业业务成果方面的作用。在本研究中,我们分析了人力资源分析师能力在决定业务成果中的作用,并检查了印度组织中人力资源分析师预期能力和现有能力之间存在的差距。通过深入的文献综述,我们准备了一个基于能力、动机和机会(CMO)模型的概念框架。采用了一种定量方法来收集数据,因为它集成了人力资源管理能力的组成部分并测量了它们对业务结果的影响。设计并分发了一份结构化问卷给230名人力资源专业人士,其中包括在班加罗尔市不同组织工作的人力资源管理用户和人力资源经理。采用各种统计工具和SPSS软件对数据进行分析。总的来说,我们的研究提供了人力资源管理在决定业务成果方面的重要作用,以及人力资源分析师所展示的能力与他们期望的能力水平之间的差距。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信