A Systematic Review of Intelligent Data-driven Human Resource Management

Intelligent human resource management is a new approach of combining two key elements namely human resource management and data analysis to improve processes and decisions, which helps organizations to transform their data in an intelligent way. The purpose of this research is to review the intelligent data-oriented human resources management system in open and public universities.

This research was based on the fundamental goal and the meta-analysis method was used. The investigated community included the research conducted on the subject in reliable scientific databases, which identified a total of 33 sources related to the desired characteristics. Open, central and selective coding methods were used to design the model.

The components of the final model included 15 themes, including: intelligent leadership, provision of strategic resources and targeted investment, suitable organizational architecture for training and recruitment and retention systems.

In order to realize intelligent data-driven human resource management, focusing on the identified components and operationalizing them in universities is of great importance.