Human Resources Analytics: Leveraging Human Resources for Enhancing Business Performance

Pankaj M. Madhani
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Abstract

Human resources (HR) analytics enables managers to replace decision-making based on anecdotal experience, hierarchy, and risk avoidance with higher-quality data-driven decisions based on data analysis, prediction, and experimental research. Human Resources analytics underscores the value of HR data by emphasizing how people create value for the organization, so that value can be captured and leveraged. The research discusses transition of HR analytics with a linear three-stage maturity model and explains progression from traditional HR analytics to new age HR analytics. Research provides various key requirements for successful deployment of HR analytics in the organizations. Human Resources analytics focus on various HRM activities including selection, appraisal, compensation, rewards, and development to maximize their impact on organizational performance. Research also provides various illustrations of HR analytics deployment across various industries.
人力资源分析:利用人力资源提高企业绩效
人力资源(HR)分析使管理者能够用基于数据分析、预测和实验研究的更高质量的数据驱动决策来取代基于轶事经验、层次结构和风险规避的决策。人力资源分析通过强调人们如何为组织创造价值来强调人力资源数据的价值,因此价值可以被捕获和利用。本研究以一个线性的三阶段成熟度模型探讨了人力资源分析的转型,并解释了从传统人力资源分析到新时代人力资源分析的进展。研究为在组织中成功部署人力资源分析提供了各种关键要求。人力资源分析侧重于各种人力资源管理活动,包括选择、评估、补偿、奖励和发展,以最大限度地提高他们对组织绩效的影响。Research还提供了跨不同行业部署人力资源分析的各种实例。
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