Financial efficiency of companies operating in the Kosovo food sector: DEA and DEAHP

IF 2.2 Q1 MATHEMATICS, APPLIED
Esma Canhasi Kasemi
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引用次数: 0

Abstract

Data Envelopment Analysis (DEA) evaluates a large number of input and output variables using mathematical programming techniques and analyzes the effectiveness of similar decision making units (DMU). Unlike traditional methods, the most important advantage of DEA is that the weights of input and output variables can be defined by the analyzer. In this study, the limitations of the DEA weights were determined using the AHP, which considers expert opinion. In addition, an alternative judgment scale was used for the Saaty judgment scale, which is used as a standard in the AHP method, and thus a more sensitive analysis was performed. There have been studies dealing with the comparison of judgment scales, but few studies on consistency sensitivity are needed. This point has also been addressed in this study. Subsequently, the financial efficiency of 27 companies operating in the food sector in Kosovo was evaluated with the weight-restricted DEA model, first created using the unweighted DEA model and then the AHP model, and the two models were compared. This paper is the first one of its kind since there are no previous studies regarding the examination of the financial efficiency of companies operating in the Kosovo food sector based on the DEAHP method.
在科索沃粮食部门经营的公司的财务效率:DEA和DEAHP
数据包络分析(DEA)利用数学规划技术对大量的输入和输出变量进行评估,并分析相似决策单元(DMU)的有效性。与传统方法不同,DEA最重要的优点是可以由分析者定义输入和输出变量的权重。在本研究中,采用考虑专家意见的层次分析法确定DEA权重的局限性。此外,Saaty判断量表采用了备选判断量表,在AHP方法中作为标准,从而进行了更灵敏的分析。目前已有关于判断量表比较的研究,但对一致性敏感性的研究较少。这一点在本研究中也得到了解决。随后,对科索沃27家食品企业的财务效率进行了权重限制的DEA模型评估,该模型首先采用非加权DEA模型,然后采用AHP模型,并对两种模型进行了比较。本文是此类论文中的第一篇,因为以前没有研究关于基于DEAHP方法检查在科索沃食品部门运营的公司的财务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
6.20%
发文量
13
审稿时长
16 weeks
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