Impact of HR Matrices on HR Analytics and Decision Making

Abstract

For several years now, HR analytics has been a widely researched field. Researchers around the world have researched and evaluated various variables that impact HR analytics. This is important since this approach assists in HR decision making and better selection. We identify basic parameters in this paper, namely organizational nature and organizational tenure, in order to research their effect on HR analytics. The parameters are further divided into sub-parameters, such as talent management, quantitative literacy and adaptation of innovation. Data is collected via a questionnaire from the Delhi/ NCR, India, IT market. To conduct data analysis, the paper utilizes the SEM model. The suggested structure satisfies research hypotheses and research questions after evaluating the data.