This paper presents an empirical investigation to find out important factors influencing future research, training and employment in Iranian scientific environment. The proposed model of this paper prepares a questionnaire consists of various questions and distributes it among some experts and analyze them using DEMATEL model. The model divides the 7 factors into two groups of cause and effect. On the cause side, there are four factors including preventing future unemployment crises, detecting future skills, finding future profitable/unprofitable job opportunities and prevention on having open position with no volunteer to work. On the effect factors, there are three factors influencing the future research including detecting the present risk associated with jobs, detecting necessary standards for future works and creating a balance between demand and supply.

This paper presents an integration of balanced score card (BSE) with two-stage data envelopment analysis (DEA). The proposed model of this paper uses different financial and non-financial perspectives to evaluate the performance of decision making units in different BSC stages. At each stage, a two-stage DEA method is implemented to measure the relative efficiency of decision making units and the results are monitored using the cause and effect relationships. An empirical study for a banking sector is also performed using the method developed in this paper and the results are briefly analyzed.