使用知识管理来提高数据融合中心的有效性
Logan Willman1, Murray Eugene Jennex2, Eric G Frost1
1San Diego State University, USA.
概括
在9/11之后建立的数据融合中心通常表现不佳. 本研究探讨了信息共享的障碍,并提出了知识管理策略,以提高融合中心的有效性和情报产品的质量.
科学领域:
- 情报研究研究情报研究.
- 信息科学 信息科学
- 组织管理组织管理.
背景情况:
- 在9/11之后创建的数据融合中心,面临着持续的低绩效问题.
- 融合中心的情报产品经常无法与支持组织的任务保持一致.
- 历史上的有效信息共享障碍阻碍了核聚变中心的运作.
研究的目的:
- 确定阻碍数据融合中心信息共享的历史障碍.
- 提出可行的策略,以提高核聚变中心的效率和有效性.
- 为了提高智能产品的产生,利用知识管理原则.
主要方法:
- 通过知识管理框架分析历史数据和作者经验.
- 结构化分析技术练习的应用.
- 整合知识管理工具和概念.
主要成果:
- 确定融合中心内信息共享的关键障碍.
- 一个拟议的框架,整合结构化分析技术和知识管理.
- 证明了提高知识流和情报产品质量的潜力.
结论:
- 知识管理为克服融合中心信息共享障碍提供了一种可行的方法.
- 结构化分析技术,当与KM相结合时,可以显著提高情报产品的相关性和质量.
- 融合中心可以通过战略KM实施来实现更大的任务支持和效率.
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