A fuzzy ANP application for prioritizing the productivity factors based on university employeesʹʹ counterproductive behaviors

Measuring the relative efficiency of employee plays essential role on the success of any organization including universities. In this paper, we present a survey to detect and to prioritize important factors influencing on the productivity of employees who work for one of Iranian universities located in city of Tehran, Iran. The study also uses analytical network process to prioritize the factors. Based on the results of our survey, we have categorized effective productivity factors into three groups of research, educational and administration groups. In our survey, coherence and unity with no dispersion of the employeeʹs duties, systematic job rotation and correct design communication job are among the most important factors influencing on employees’ productivity.