Validation of effective factors on new teachers' organizational trauma management with artificial neural network approach

Organizational trauma management is a neglected public health crisis, while it seems to be a very important issue that should be properly addressed. The present study was conducted with the aim of validating the effective factors on the organizational trauma management of new teachers with the approach of artificial neural network (ANN). The present research method was quantitative in terms of strategy and descriptive-correlation in terms of technique. The statistical population of the new research was teachers of Gilan, Alborz and Tehran provinces with a population of 15,000 people. A sample of 375 people was selected from this population by multi-stage cluster sampling method. A researcher-made questionnaire (1401) was used to collect data. In order to analyze the data, artificial neural network with multilayer perceptron method (MLP) was used using SPSS25 software. The findings showed that organizational trauma management has an input layer with 21 nodes and a hidden layer with 9 nodes, which includes psychological empowerment with the greatest effect and psychological safety with the least importance factor in organizational trauma management. According to the studies, psychological crises in organizations have become a common experience for managers and employees around the world. Some of these crises show signs of traumatic experience. If it is not managed properly, it seems that the experience of collective harm appears in the form of many organizational factors that lead to dysfunctional behavior in the organization.