The Relationship of Core Self-Evaluation and Organisation's Internal CSR on Happiness at Work Place

This study provides a method for measuring the Employee Happiness Index (EHI) when it is increasingly being recognized as a key driver of organizational performance. It adopts a hybrid approach that integrates Core Self-Evaluation (CSE) psychometrics, sentiment analysis from Corporate Social Responsibility (CSR) with transformer-based models, and biometric effect indicators run through a fuzzy inference system with Analytic Hierarchy Process (AHP) weighting. Standard survey-based or unimodal models are limited by their high latency sensitivity, lack of granularity, and bias. This model is built to overcome these challenges. Based on data from a medium-sized technology company, this model performed better than sentiment-based, biometric-only, and psychometric-only models. This model performed better than these models across a range of evaluation metrics, including interpretability, temporal stability, and F1-score, and achieved a striking accuracy of 98.27%. The model's outcomes highlight its potential as an intervention-focused approach to guiding targeted wellness initiatives in interactive work environments, as well as its diagnostic application.