摘要
【目的/意义】竞争情报系统能够收集、整理、分析海量异构数据并将其整合成有价值的竞争情报。但在大数据及信息技术发展的背景下,竞争情报系统仍存在情报分析的滞后性、情报计划缺乏预测性和情报决策的不可逆性等缺陷。平行情报体系的出现为竞争情报系统的发展提供了一种思路。【方法/过程】本文在平行情报体系的基础上,提出了平行竞争情报系统的理论模型,同时对系统平行执行的实施进行了阐述,并分析平行竞争情报系统的主要特征。【结果/结论】基于平行理论提出平行竞争情报系统具有实时反馈和动态调整、精确可控和量化重复等优势,并且可以实现人工系统对实际系统的预测和主动引导。
【Purpose/significance】Competitive intelligence systems can collect, organize, and analyze massive amounts of heterogeneous data and integrate them into valuable competitive intelligence. However, in the context of the current development of big data and information technology, the competitive intelligence system still have some lacks such as lag of intelligence analysis, low predictability of the intelligence plan and irreversibility of intelligence decision-making. The emergence of parallel intelligence systems provides an idea for the development of competitive intelligence systems.【Method/process】Based on the parallel intelligence system, this paper analyzes the working mode of competitive intelligence system based on parallel theory, proposes the theoretical model of parallel competitive intelligence system, and expounds the implementation of parallel execution of the system and analyzes the main features and advantages of the parallel competition intelligence system.【Result/conclusion】The article discusses the necessity of applying parallel theory to competitive intelligence systems, and then proposes parallel competitive intelligence systems based on parallel theory and discusses their implementation, providing new ideas and methods for constructing CIS.
作者
石进
苗杰
刘千里
SHI Jin;MIAO Jie;LIU Qian-li(School of Information Management,Nanjing University,Nanjing 210023,China)
出处
《情报科学》
CSSCI
北大核心
2019年第3期27-31,共5页
Information Science
基金
国家社科基金项目"面向国家安全的情报研究"(18FTQ005)
国家社科基金项目"意义构建视野下安全情报的弱信号研究"(15CTQ032)
关键词
平行情报
竞争情报系统
ACP方法
平行理论
parallel intelligence
competitive intelligence system
ACP methods
parallel theory
