Predicting the disclosure behaviors of the employees of the Ministry of Sports and Youth with a neural network approach

Disclosure is a powerful control tool in preventing organizational violations. The purpose of this study is to predict the disclosure behaviors of the employees of the Ministry of Sports and Youth with a neural network approach. This research is applied and the method of information collection is survey. The statistical population included all employees of the Ministry of Sports and Youth (870 people). According to Krejcie and Morgan table, 260 people were selected as a statistical sample and 250 complete questionnaires were examined. This questionnaire was developed by the researcher based on theoretical foundations and past research, designed and localized. In order to check and confirm the validity of the instrument, the validity of the content was examined through the opinion of experts and the validity of the structure was examined through confirmatory factor analysis. Also, Cronbach's alpha coefficient was used to evaluate the reliability of the questionnaire, which was 0.86 for the whole questionnaire. Factors affecting violation disclosure behaviors by employees as input and self-reporting employee disclosure (internal and external disclosure) was considered as the output of this model. The evaluation results showed that the artificial neural networks model has a high accuracy in predicting the disclosure behaviors of the staff of the Ministry of Sports and Youth based on age and gender inputs. The evaluation results showed that the artificial neural networks model has high accuracy in predicting the disclosure behaviors of violations by the staff of the Ministry on responsibility, job satisfaction, moral identity and organizational Commitment.