Veri zarflama analizi ile Türkiye?nin İrlanda?ya ihracatının performans değerlendirmesi

This thesis aims to evaluate the performance of Turkey?s export to Ireland in 2008 by focusing on the manufacturing sectors of the top 100 products exported. A robust evaluation of the export performance requires the consideration of several quantitative criteria as well as qualitative criteria, and therefore, we employ an imprecise data envelopment analysis (IDEA) model, that can successfully deal with imprecise data at multi-criteria decision making (MCDM) problems. In this thesis, through the use of various DEA and IDEA models with different discriminating powers, the manufacturing sectors are ranked according to their export performance, and managerial insights are provided regarding which sectors should receive more attention in order to increase the overall export performance of Turkey. The objective data are supplied from TURKSTAT (Turkish Statistical Institute), CSO (Central Statistics Office of Ireland), DTM (Undersecretariat of the Prime Ministry for Foreign Trade) and TCMB (Central Bank of Republic of Turkey) whereas the subjective data are obtained from a survey filled out by an expert. After ranking the target sectors, a sensitivity analysis is applied to the worst performing sector to figure out the factors which are needed to be modified to improve the efficiency of that sector. Moreover, a product based analysis of the best performing sectors is carried out to control whether there is any chance of further improvement for those sectors.