Analytics Maturity and Human Rresources Management Functions Review of Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

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Roshannejad Mojgan

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Journal Paper

Paper Information

Journal: JOURNAL OF CRITICAL LITERATURE AND HUMANITIES Year:2023 | Volume: | Issue: Page(s): 243-272

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Information Journal Paper

Title

Analytics Maturity and Human Rresources Management Functions Review of Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

Author(s)

Roshannejad Mojgan | Issue Writer Certificate

Keywords

Human Resource ManagementQ4

Data-driven HRQ4

HR AnalyticsQ4

Analytics Maturity modelQ4

Book ReviewQ4

Abstract

As a result of the growth and development of communication and information technologies, as well as the increasing use of smart tools connected to the Internet, a huge amount of digital data is produced every moment. Human resource (HR) analytics is necessary for the intelligent use of this data to improve Human Resource Management (HRM) decisions. HR Analytics has descriptive, diagnostic, and predictive types introduced as Analytics Maturity models. Considering the HR Analytics maturity model and the five functions of Human Resource Management, this article uses the systematic implication research method to review and criticize the book “Data-Driven HR: How to Use Analytics and Metrics to Drive Performance” by Bernard Marr. This book is translated into Persian by Pirannejad and Faraji Jobedar. The implications show that the book can be improved by enriching the scientific theoretical foundations of HRM topics. In addition, this could be improved through closer attention to the levels of HR Analytics.

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