P. Peykani - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, ‎Iran‎.
E. Mohammadi - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, ‎Iran‎.

In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of ۵ investment companies in Tehran stock exchange during the period from ۲۰۱۳ to ۲۰۱۷.

Network Data Envelopment Analysis, Two-Stage Structure, Window Analysis, Dynamic Efficiency, Investment Company