This paper presents an empirical investigation on new product development (NPD) using a hybrid of quality function deployment (QFD) and analytical network process (ANP). The study is accomplished in one of the biggest auto producers in Iran named Saipa. The study examines whether or not NDP influences positively on critical success factors (CSF) and knowledge management (KM). The study also examines whether KM influences on success of NPD. Using some statistical tests, the study confirms that NDP influences on CSF and KM and there is a positive and meaningful relationship between KM and success of NPD. In addition, the study has prioritized various factors for development of new product development and determined that “technology application consistent with customer’s needs” as well as “Having various meetings with different departments” are the most important factors for the success of new product development.

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 employee & apos; s duties, systematic job rotation and correct design communication job are among the most important factors influencing on employees’ productivity.