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

作者：Samoilenko Sergey^*; Osei Bryson Kweku Muata

来源：Omega-International Journal of Management Science, 2013, 41(1): 131-142.

DOI：10.1016/j.omega.2011.02.010

• Productivity
• Dynamic environments
• Efficiency
• DEA
• DSS
• Data mining
• Clustering
• Decision Tree

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.

• 出版日期2013-1