情报研究

企业信息迷雾弱信号识别与情报感知

  • 许明珠 ,
  • 王克平 ,
  • 范颜铄 ,
  • 周婧怡
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  • 山东理工大学信息管理学院 淄博 255000
许明珠,硕士研究生,撰写并修改论文,处理数据;范颜铄,硕士研究生,修改论文;周婧怡,硕士研究生,提出修改意见

收稿日期: 2024-02-26

  修回日期: 2024-06-07

  网络出版日期: 2024-10-17

基金资助

本文系国家社会科学基金项目“基于‘互联网+’思维的新创企业风险识别与竞争情报预警研究”(项目编号:20BTQ052)研究成果之一。

Weak Signal Identification and Intelligence Awareness in the Enterprises Information Fog

  • Xu Mingzhu ,
  • Wang Keping ,
  • Fan Yanshuo ,
  • Zhou Jingyi
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  • School of Information Management, Shandong University of Technology, Zibo 255000

Received date: 2024-02-26

  Revised date: 2024-06-07

  Online published: 2024-10-17

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on Risk Identification and Competitive Intelligence Early Warning of New Ventures Based on ‘Internet plus’ Thinking” (Grant No. 20BTQ052).

摘要

[目的/意义] 针对企业信息迷雾现状,利用弱信号与情报感知的映射关系,实现弱信号向竞争情报产品的转化并期待以此实现对企业发展态势的预测。[方法/过程] 弱信号作为一种对未来变化的早期感知,可以作为感知信息迷雾的工具。基于企业领域,首先厘清弱信号、信息迷雾与情报感知的关系,并进一步探究企业信息迷雾成因,最后在此基础上构建信息迷雾环境下情报感知模型,剖析信息迷雾不同生命周期阶段的情报任务。[结果/结论] 以新能源汽车企业比亚迪为例进行应用分析,得出弱信号可作为感知信息迷雾的工具,在转化为竞争情报及预测企业发展态势方面有一定的可行性。

本文引用格式

许明珠 , 王克平 , 范颜铄 , 周婧怡 . 企业信息迷雾弱信号识别与情报感知[J]. 图书情报工作, 2024 , 68(19) : 66 -77 . DOI: 10.13266/j.issn.0252-3116.2024.19.006

Abstract

[Purpose/Significance] In the current situation of enterprises information fog, this article examines the mapping relationship between weak signals and intelligence awareness to achieve the transformation of weak signals into competitive intelligence and the prediction of future enterprise trends based on this. [Method/Process] Weak signals, offering an early perception of future changes, can be used to effectively navigate information fog. Focusing on the enterprise context, this article first clarified the relationship between weak signals, information fog, and intelligence perception. It then explored the causes of enterprise information fog. Finally, on this basis, it built an intelligence perception model in an information fog environment and analyzed intelligence task at different life cycle stages of information fog. [Result/Conclusion] Taking BYD, a new energy vehicle company, as a case study, it concludes that weak signals can be used as a tool to perceive information fog, and shows feasibility in the competitive intelligence transformation and the development prediction of enterprises.

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