Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system

被引:42
|
作者
Samoilenko, Sergey [1 ]
Osei-Bryson, Kweku-Muata [2 ]
机构
[1] Virginia Union Univ, Dept CIS CS, Richmond, VA 23220 USA
[2] Virginia Commonwealth Univ, Dept Informat Syst, Richmond, VA 23284 USA
来源
关键词
Productivity; Dynamic environments; Efficiency; DEA; DSS; Data mining; Clustering; Decision Tree; NEURAL-NETWORK; INFORMATION-TECHNOLOGY; TREE; CLASSIFICATION; DISCOVERY; KNOWLEDGE; BANKING; QUALITY; MODELS; SCALE;
D O I
10.1016/j.omega.2011.02.010
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The competitive nature of the business environment requires the productivity-driven organization to be aware of its relative level of effectiveness and efficiency vis-a-vis its competitors. This suggests the need, first, for an effective mechanism that allows for discovering appropriate productivity models for improving overall organizational performance, and, second for a feedback-type mechanism that allows for evaluating multiple productivity models in order to select the most suitable one. In this paper our focus is on organizations that consider the states of their internal (e.g., possibly exemplified by resource-based view) and external (e.g., possibly exemplified by positioning) organizational environment in the formulation of their strategies. We propose and test a DEA-centric Decision Support System (DSS) that aims to assess and manage the relative performance of such organizations. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:131 / 142
页数:12
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