An Explanatory Model: The Relationship between Ergonomic Climate and Job Stress Using Adaptive Neuro-Fuzzy Inference System Approach in One of Urmia Hospitals

Job  stress is a growing problem worldwide that affects not only the health and well-being of employees but also the productivity of organizations. Ergonomics  climate  shows employees' understanding of the organization's support and emphasis on job design and modification in order to improve "operational performance" and "employee well-being". The present study aims to provide a model to explain  Job  stress with a focuson ergonomics climate was made using the adaptive neuro-fuzzy inference system approach.

This research is applied in terms of purpose and descriptive and correlational in terms of data collection method. The statistical population of the current research is the healthcare staff of one of the hospitals in Urmia city. model through  evaluation criteria RMSE[1], MAE[2] and  R2[3] were validated.

The correlation coefficient between ergonomic climate and job stress for 376  data is - 0.629. which indicates an inverse relationship. The obtained results indicate the high validity of the model of Adaptive  Neuro-Fuzzy - Inference  System (RMSE=0.02) for evaluating and predicting  Job stress centered on ergonomics climate.

Ergonomics climate  and its dimensions including operational performance and employee well-being have an inverse relationship with  job  stress of employees. The presented model can predict with high reliability the level of  job  stress of employees using ergonomics climate.