The integrated application of the AHP and the DEA methods in evaluating the performances of higher education institutions in the Republic of Serbia

Q3 Economics, Econometrics and Finance Economic Horizons Pub Date : 2016-04-01 DOI:10.5937/ekonhor1601071M
Predrag Mimović, A. Krstić
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引用次数: 10

Abstract

The measurement and evaluation of performance are critical for the efficient and effective functioning of the economic system, because this allows for the analysis of the extent to which the defined objectives are achieved. Organizational performance is measured by different methods, both quantitative and qualitative. Many of the known methods for the evaluation and measurement of organizational performance take into account only financial indicators, while ignoring the non-financial ones. The integration of both indicators, through the combined application of multiple methods and the comparison of their results, should provide a more complete and objective picture of organizational performance. The Analytic Hierarchy Process (AHP) is a formal framework for solving complex decision-making problems, as well as a systemic procedure for the hierarchical presentation of the problem elements. The Data Envelopment Analysis (DEA) is a non- parametric approach based on linear programming, which allows for the calculation of the efficiency of decision-making units within a group of organizations. The work is an illustration of the method and framework of the combined use of the multi-criteria analysis methods for the measurement and evaluation of the performance of higher education institutions in the Republic of Serbia. The advantages of this approach are reflected in overcoming the shortcomings of a partial application of the AHP and the DEA methods by utilizing a new, hybrid, DEAHP (Data Envelopment Analytic Hierarchy Process) method. Performance evaluation through an integrated application of the AHP and the DEA methods provides more objective results and more reliable solutions to the observed problem, thus creating a valuable information base for high-quality strategic decision making in higher education institutions, both at the national level and at the level of individual institutions.
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层次分析法和DEA方法在塞尔维亚共和国高等教育机构绩效评价中的综合应用
业绩的衡量和评价对于经济系统的高效率和有效运作是至关重要的,因为这样可以分析确定的目标实现的程度。组织绩效是通过不同的方法来衡量的,包括定量的和定性的。许多已知的评价和衡量组织绩效的方法只考虑财务指标,而忽略了非财务指标。将这两种指标结合起来,通过多种方法的联合应用和结果的比较,应该能更全面和客观地反映组织的业绩。层次分析法(AHP)是解决复杂决策问题的正式框架,也是对问题要素进行分层表示的系统过程。数据包络分析(DEA)是一种基于线性规划的非参数方法,它允许计算一组组织内决策单元的效率。这项工作是对塞尔维亚共和国高等教育机构绩效测量和评估的多标准分析方法的综合使用方法和框架的说明。该方法的优点体现在克服了AHP和DEA方法部分应用的缺点,采用了一种新的,混合的,DEAHP(数据包络分析层次过程)方法。综合运用AHP和DEA方法进行绩效评价,为观察到的问题提供了更客观的结果和更可靠的解决方案,从而为国家层面和个别院校的高质量战略决策提供了有价值的信息基础。
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来源期刊
Economic Horizons
Economic Horizons Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
1.00
自引率
0.00%
发文量
7
审稿时长
8 weeks
期刊最新文献
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