Research on the Impact of Situation Awareness from the Perspective of Industrial Competitive Intelligence

面对全球高科技产业的激烈竞争与国际环境的多重压力,我国高科技产业亟需从竞争情报的维度来深化对外部风险的评估与预测能力。文章基于产业竞争情报与态势感知理论,指出两者的共同点,剖析产业竞争情报视角下态势感知思想的内涵;并以集成电路产业为例,分析其现状和特点,结合产业复杂性,从情报需求、情报来源、产业主体和情报生产供给模式四个角度,来探讨态势感知思想对产业竞争情报领域的影响。文章旨在为产业竞争情报领域提供态势感知的新思路,以提高我国产业情报的收集加工能力,助力科技产业独立自主。Facing with fierce competition in the global high-tech industry and multiple pressures from the external environment, China’s high-tech industry urgently needs to deepen its ability to assess and predict external risks from the perspective of competitive intelligence. This article is based on the theory of industrial competitive intelligence and situational awareness, identifying their commonalities and analyzing the connotation of situational awareness from the perspective of industrial competitive intelligence. Taking the integrated circuit industry as an example, this paper examines its current state and characteristics and explores the impact of industry complexity on situational awareness and industry competitive intelligence from four angles: intelligence needs, intelligence sources, industry entities, and intelligence production and supply models. This article aims to provide a new perspective on industry competitive intelligence for building a situational awareness system for high-tech industries in order to enhance China’s ability to collect and process industrial intelligence and support the self-reliance of the technology industry.

Authors

Publication Details

Journal
Service Science and Management
Published
2025-01-01
DOI
https://doi.org/10.12677/ssem.2025.141009
Primary Topic
Competitive and Knowledge Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Impact of Situation Awareness from the Perspective of Industrial Competitive Intelligence

文杰 印
Service Science and Management
Competitive and Knowledge Intelligence
article

Research on the Impact of Situation Awareness from the Perspective of Industrial Competitive Intelligence

文杰 印
article en

Abstract

面对全球高科技产业的激烈竞争与国际环境的多重压力,我国高科技产业亟需从竞争情报的维度来深化对外部风险的评估与预测能力。文章基于产业竞争情报与态势感知理论,指出两者的共同点,剖析产业竞争情报视角下态势感知思想的内涵;并以集成电路产业为例,分析其现状和特点,结合产业复杂性,从情报需求、情报来源、产业主体和情报生产供给模式四个角度,来探讨态势感知思想对产业竞争情报领域的影响。文章旨在为产业竞争情报领域提供态势感知的新思路,以提高我国产业情报的收集加工能力,助力科技产业独立自主。Facing with fierce competition in the global high-tech industry and multiple pressures from the external environment, China’s high-tech industry urgently needs to deepen its ability to assess and predict external risks from the perspective of competitive intelligence. This article is based on the theory of industrial competitive intelligence and situational awareness, identifying their commonalities and analyzing the connotation of situational awareness from the perspective of industrial competitive intelligence. Taking the integrated circuit industry as an example, this paper examines its current state and characteristics and explores the impact of industry complexity on situational awareness and industry competitive intelligence from four angles: intelligence needs, intelligence sources, industry entities, and intelligence production and supply models. This article aims to provide a new perspective on industry competitive intelligence for building a situational awareness system for high-tech industries in order to enhance China’s ability to collect and process industrial intelligence and support the self-reliance of the technology industry.

Service Science and ManagementVol. 14(01)
Decent work and economic growth
Openalex Percentile: Top 99%
Competitive and Knowledge Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.