.png){kind=icon}
返回
Evaluating decision making performance in the GDSS environment using data envelopment analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.dss.2010.02.002.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We provide a framework to evaluate decision making performance with Group Decision Support Systems (GDSSs) using an overall performance indicator. The indicator is constructed using Data Envelopment Analysis (DEA), which measures the economic efficiency of a decision-making process, or how efficiently a GDSS user converts decision resources into decision outcomes. To illustrate how our framework can be applied, we conduct an experiment that manipulates three contextual factors: communication mode, incentive structure, and group leadership. Within these contexts, we obtain an individual DEA decision efficiency score during the GDSS decision process, where participants are engaged in a mixed-motive task. We find that the communication mode, incentive structure, and interaction between the two significantly influence decision efficiency within this GDSS setting. However, the leadership structure does not have a significant impact on decision efficiency. The current study presents the first application of DEA in the area of GDSS. We illustrate how DEA is useful for evaluating GDSS-supported decision efficiency. The results suggest implications that guide the design of the next generation GDSS to support individuals within collaborative work groups involved in mixed-motive tasks. Published by Elsevier B.V.
Keyword:
Group decision support system
Group decisions
Incentive
Data envelopment analysis
Decision efficiency
期刊
IF:
6.8
论文数:
3.8K
被引数:
1.5W
机构
引用论文
分享收藏Characterization of Lignocellulosic Biomass as Raw Material for the Production of Porous Carbon-based Materials.png)
BioResources
OAAI
BioResourcesIF0
OAAI分享收藏DSS effectiveness in marketing resource allocation decisions: Reality vs. perceptionDSS在营销资源分配决策中的有效性: 现实与感知
PREAI
分享收藏
查看更多内容