Communicating the Role of Organizational Factors of Injustice and Cynicism in Cyber Loafing of Academic Staff with Artificial Neural Network

The purpose of this study was tocommunicating the role of organizational Factors of injustice and cynicism in cyber loafing. Methodology of the research in terms of the main strategy, was quantitative, in terms of the strategy, was field, and in terms of analytical, was descriptive. The statistical population of this study included all staff of Universities affiliated with the Ministry of Science at تاون levels of international, national, regional and local levels of performance across the country. The research data were collected from 430 staff members who were selected by multi-stage cluster sampling method. The sample size according to the Kregci-Morgan model and with error α = 0/05, was considered 430 persons. To collect data Cyber Loafing Questionnaire of Bella et al (2006), Organization Cynicism Questionnaire of Kalagan (2009) and Organizational Injustice Questionnaire of Kim and Leung (2007) was used. Validity of the tools was confirmed by the professors of education and psychology. Data were analyzed by artificial neural network with multilayer perceptron (MPL) method in Spss.v.24 software. The results showed modeling the organizational factors affecting on cyber loafing has an input layer with eight units and a hidden layer with two unit and the artificial neural network is well able to predict the jumps and the process of cyber loafing of academic staff based on organizational factors of cynicism and injustice. Therefore, it is necessary to pay attention to these components and their effects in the organization human resource behavior and avoiding deviant behavior