THE EFFECTS OF INTRINSIC ASPECTS OF WORK ON EMPLOYEE WELL-BEING

Abstract

In recent years, increasing attention has been directed toward understanding the intrinsic aspects of work and their impact on employee well-being. This study aims to evaluate the influence of intrinsic work factors on employees' health, well-being, and job satisfaction. The research employs artificial neural network analysis, specifically a multilayer perceptron model, to establish relationships between intrinsic work factors (such as motivation, interest in the profession, and recognition) and employee outcomes, including health and well-being. The findings reveal that organizational motivation, interest in the profession, and recognition of effort are the most significant contributors to employee well-being, while other aspects, such as autonomy and task satisfaction, exert less influence. These results highlight the complexity of how intrinsic factors shape the overall work experience, suggesting a differentiated approach to human resource management. In conclusion, intrinsic work aspects positively impact employee well-being, but the influence varies across different factors, emphasizing the importance of fostering motivation, interest alignment, and recognition in the workplace.

Keywords

• intrinsic work factors
• employee well-being
• job satisfaction
• employees' health
• satisfaction
• artificial neural networks