Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems

Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems
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衡量与 DEA 相关的多时期和多部门系统的效率:在 OECD 国家国家创新系统中的应用

DOI:
10.1016/j.eswa.2015.10.032
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发表时间:
2016-03-15
影响因子:
8.5
通讯作者:
Shao, Yanmin
Shao, Yanmin
中科院分区:
计算机科学1区
文献类型:
--
作者:
Kou, Mingting;Chen, Kaihua;Shao, Yanmin

文献摘要

被引文献

相似文献

以效率为导向的多周期多部门系统的绩效评价对于复杂的投资和管理决策越来越重要。提出了一种新的基于系统思想的动态网络DEA模型的建立方法,用于度量和分解MPMDS的整体效率。该方法既具有通用性,又保持了DEA评价的客观性,不仅不需要预先确定权重将各分量效率主观地组合为整体效率,而且对径向和非径向度量均适用。更吸引人的是,它通过一组内生权重集将整体效率分数加权平均分解为组件效率分数,这对测试的整个MPMD的整体效率是最有利的,并确保了整体效率分数与组件效率分数比较的一致性。本研究对现有文献有两点贡献。首先,它不仅使MPMDS的结构化决策成为可能,而且有助于我们从专家和智能系统的角度实现半结构化和非结构化决策。其次,在多阶段、多部门的背景下对OECD国家的创新效率进行了评价,为各国的长期创新投资决策提供了一种分析方法和系统证据。(C)2015爱思唯尔有限公司。保留所有权利。
The efficiency-oriented performance evaluation of multi-period and multi-division systems (MPMDS) becomes increasingly important for complex investment and management decisions. This paper proposes a new formulation approach for dynamic network DEA (DN-DEA) models based on system thinking to measure and decompose the overall efficiency of MPMDS. The proposed approach is general and maintains the objective property of DEA evaluation, which not only does not need the pre-specified weights to subjectively combine component efficiencies into overall efficiency, but also is applicable to both radial and non-radial measures. More attracting, it presents a weighted average decomposition of the overall efficiency score into component ones by a set of endogenous weight sets which are most favorable for the overall efficiency of the tested entire MPMDS and ensures consistency in the comparison between overall and component efficiency scores. This study makes two contributions to the existing literature. First, it not only makes the structured decision making of MPMDS possible but also helps us realize semi- and non-structural decision making from an expert and intelligent systems point of view. Second, it evaluated the innovation efficiency of OECD countries in the multi-period and multi-division context, which presents an analytical technique and some systemic evidence for national innovation investment decisions in the long run. (C) 2015 Elsevier Ltd. All rights reserved.