A Two-Tier Solution to Converge People Analytics into HR Practices

Bhawna Gaur, Sadia Riaz
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引用次数: 4

Abstract

Last few years have seen an overwhelming increase in the application of People Analytics, as an HR practice globally. Organizations have formed specialized teams and software companies, are designing newest predictive systems to help HR with data extraction and understanding People Analytics. However, there are still a number of limitations reported in numerous studies, such as: data privacy and perception limitations hindering effective convergence of People Analytics into HR practices. This study holistically approaches the topic by critically reviewing and synthesizing the existing literature; by comparing region-wise business performance indicators to understand the role of People Analytics, performs content analysis on selected reports to identify perception level limitations of People Analytics, and finally generates correlated qualitative themes to address convergence limitations of People Analytics into HR practices. The study provides a Two-Tier solution validated through Content Analysis performed in the Nvivo. Data analysis shows emergence of two broad correlated themes - 1) limitations at functional level and 2) limitations at normative (psychological) level. The study provides specific guidelines to HR practitioners and business researchers on how to overcome application limitations related to People Analytics within their organizations.
将人力资源分析融合到人力资源实践中的两层解决方案
在过去的几年里,人力资源分析作为一种全球人力资源实践的应用出现了压倒性的增长。组织已经组建了专门的团队和软件公司,正在设计最新的预测系统,以帮助人力资源进行数据提取和理解人员分析。然而,许多研究报告仍然存在一些局限性,例如:数据隐私和感知限制阻碍了人力资源分析与人力资源实践的有效融合。本研究通过批判性地回顾和综合现有文献来全面探讨这一主题;通过比较区域明智的业务绩效指标来了解人员分析的作用,对选定的报告进行内容分析,以确定人员分析的感知水平限制,最后生成相关的定性主题,以解决人员分析在人力资源实践中的收敛限制。该研究提供了一个两层解决方案,通过在Nvivo中进行的内容分析进行验证。数据分析显示出现了两个广泛相关的主题——1)功能层面的限制和2)规范(心理)层面的限制。该研究为人力资源从业者和商业研究人员提供了具体的指导方针,指导他们如何在组织中克服与人员分析相关的应用限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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