Window Network Data Envelopment Analysis: An Application to Investment Companies
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
P. Peykani
1
(Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.)
E. Mohammadi
2
(Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.)
کلید واژه: Two-Stage Structure, Network Data Envelopment Analysis, Dynamic Efficiency, Window Analysis, Investment Company,
چکیده مقاله :
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 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.
تحلیل پوششی داده های شبکه ای یکی از مهم ترین شاخه های تحلیل پوششی داده ها می باشد که به منظور سنجش عملکرد واحدهای تصمیم گیرنده با ساختار داخلی یا شبکه به کار گرفته می شود. در این مطالعه، مدل تحلیل پوششی داده های شبکه ای پنجره ای ارائه می شود که می تواند در حضور داده های پانل مورد استفاده قرار گیرد. علاوه بر این ، مدل پیشنهادی برای ارزیابی کارایی پویای 5 شرکت سرمایه گذاری در بورس اوراق بهادار تهران در بازه زمانی 2013 تا 2017 استفاده شده است. نتایج تجربی نشان می دهد که مدل پیشنهادی تحلیل پوششی داده های شبکه ای پنجره ای مؤثر است و استفاده از این مدل ، قابلیت اطمینان نتایج را افزایش می دهد.
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