详细信息
Online decision support system framework to improve Chinese government efficiency ( EI收录)
文献类型:期刊文献
英文题名:Online decision support system framework to improve Chinese government efficiency
作者:Deng, Shasha[1,2]; Zhang, Pengzhu[1]; Li, Jia[3]
机构:[1] Department of Management Information Systems, Shanghai Jiaotong University, Shanghai 200052, China; [2] Department of Computer Science, Shanghai University of Electric Power, Shanghai 200090, China; [3] Business School, East China University of Science and Technology, Shanghai 200237, China
年份:2010
卷号:6
期号:2
起止页码:521
外文期刊名:Journal of Computational Information Systems
收录:EI(收录号:20103913260788)
语种:英文
外文关键词:Artificial intelligence - Government data processing - Decision theory - Efficiency - Decision making - Online systems
摘要:With development of e-government systems, there are many big changes in Chinese government efficiency. However, the SARS revealed low efficiency is still serious. After the analysis of the factors affected on the efficiency, we find that traditional decision support system is hard to support decision maker and online decision support system may improve the officials' work effectiveness better. Unfortunately, little attention has been given to the research. In this paper, we will discuss the cultural characteristics of Chinese government. And then, based on the theory of Time-based Competition in governmental workflow, we summarize the four characteristics of online decision support system. Furthermore, we propose the design framework for online decision support system in context of e-government in China, which consists of three major parts: the single online support module, the collaborative online support module and the mobile support module. Also the detailed function and procedure of the three parts are presented. The framework is applied to a certain project approval system which is embedded in existing workflow. Analysis shows that the Framework contributes to developing efficiency in the official decision making. ? 2010 Binary Information Press.
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