Analytics-Based Performance Influential Factors Prediction for Sustainable Growth of Organization, Employee Psychological Engagement, Work Satisfaction, Training and Development

Abstract

Employee engagement, job satisfaction, and growth opportunities were selected as the HR analytics KPIs around which this research would be based. Multiple linear regression analysis was done to identify the most influential factors influencing worker productivity. The regression model explained 29% of the variation in employee performance, with findings showing that employee engagement, work satisfaction, and training and development were all important predictors of performance. These results have substantial implications for businesses that want to boost employee performance and achieve long-term success. Companies that prioritize these HR analytics indicators see increases in productivity, decreases in turnover, and steady expansion of their businesses. Additional HR analytics measures, causal linkages, and international applicability need further study in future studies.