Unlocking Drivers for Employee Engagement Through Human Resource Analytics

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Author(s): Kanupriya Misra Bakhru (Jaypee Institute of Information Technology, India)and Alka Sharma (Jaypee Institute of Information Technology, India)
Copyright: 2022
Pages: 20
Source title: Research Anthology on Human Resource Practices for the Modern Workforce
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3873-2.ch025

Keywords: Business Science Reference / Human Resource Management / Human Resources Management / Knowledge Management and Library Science

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Abstract

The authors have discussed in detail the meaning of employee engagement and its relevance for the organizations in the present scenario. The authors also highlighted the various factors that predict the employee engagement of the employees in the varied organizations. The authors have emphasized on the role that HR analytics can play to identify the reasons for low level of engagement among employees and suggesting ways to improve the same using predictive analytics. The authors have also advocated the benefits that organizations can reap by making use of HR analytics in measuring the engagement levels of the employees and improving the engagement levels of diverse workforce in the existing organizations. The authors have also proposed the future perspectives of the proposed study that help the organizations and officials from the top management to tap the benefits of analytics in the function of human resource management and to address the upcoming issues related to employee behavior.

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Unlocking Drivers for Employee Engagement Through Human Resource Analytics

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