Mohamed Meri Meri

(Gaziantep University, Turkey)

 

 

Abstract: The topic of HRM at the level of predictive in modern organizations is very important and interesting in contemporary researches and practices, especially in Modern Organizations in developed countries. Currently, HRM has exceeded the descriptive traditional stage as (management of personnel or management of workers or descriptive HRM) towards the predictive stage based on Metrics and Analytics, which is why it attracts the attention of concerned academics and practitioners. This research deals with the topic by using HRM at the level of Analytics and Metrics in modern organizations through reviewing (possibilities, application, and successes). It shows the Analytics and Metrics as an effective administrative tools to develop strategies and executive plans, taking into consideration the overall work of the organizational system to achieve effective performance regarding the great importance of using predictive Models in all the management levels of organization as a whole and HRM in particular. It presents how to design and formulate HR Analytics and Metrics, their models in modern organizations, the levels of application at work, and the benefits achieved in organizations that live in the context of globalization. Also, this research shows the options offered by HR Analytics and Metrics to contemporary organizations in order to follow the correct approaches in modern management. The methodology followed in this research is to review several studies in the field of predictive HRM, and analysis data’s and the results achieved in developed and emerging countries to clarify the relationship between high performance and HR Analytics or Metrics in modern organizations. Finally, this research presents a practical model for HR analytics and Metrics in order to be used by modern and efficient organizations.

 

 

Key words: HR analytics; metrics; modern organizations; organizational performance

 

JEL code: M12