Increasing the performance of individuals and organizations in developing countries using digital HRM

Abstract

The major study of this research is to create and perform a strategy that can improve the performance of organizations and individuals in developing countries. This data was collected via a survey in which 35 organizations utilizing e-HRM systems participated—a method known as purposive sampling was used. The regression model employed for this data analysis was executed via the Process macro in SPSS. Although it is still in its infancy in Asian nations, the management of artificial human resource has been depicted to increase workplace productivity. Enhanced employee performance mediation benefits the organization in its entirety. It is expected that integrating Human resource management using electronic means (e-HRM) systems and applying the best practices for human resource that optimize individual performance will result in enhanced institutional performance. Performance of the employee is hypothesized to mediate between human resource management using electronic means and institutional performance, amplifying the former's profile. Incorporating employee performance as a moderating variable, this study examines the correlation between human resource management using electronic means adoption and institutional success. It achieves this feat first among its kind. The results indicate that individual achievement is pivotal in comprehending the factors that have enabled specific organizations to enhance their performance. In addition, the research provides a framework that improves efficacy in the workplace.