Modeling the Role of Organizational Ethics Atmospheres and Work-Family Conflict in Cyber Loafing of Academic Staff with Artificial Neural Network (ANN)

The purpose of this study was to modeling the role of organizational ethics atmospheres and work-family conflict in cyber loafing.

Methodology of the research was descriptive. The statistical population of this study included all staff of Universities affiliated with the Ministry of Science at four levels of international, national, regional and local levels of performance. 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 (2006), Organizational Ethical atmospheres Questionnaire (1988) and work-family Conflict Questionnaire (1985) was used. Data were analyzed by artificial neural network method.

The results showed modeling the organizational factors affecting on cyber loafing has an input layer with seven units and a hidden layer with one 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 organizational ethics atmospheres and work-family conflict.

it is necessary to pay attention to these components and their effects in the organization human resource behavior and avoiding deviant behavior.