数智驱动背景下产业竞争情报智慧服务的认知框架与实现逻辑  

Cognitive Framework and Realization Logic for Industrial Competitive Intelligence Service under Digital Intelligence Background

作　　者：郑荣[1,2] 王晓宇[1] 高志豪 雷亚欣 Zheng Rong;Wang Xiaoyu;Gao Zhihao;Lei Yaxin(School of Business and Management,Jilin University,Changchun 130012;Information Resources Research Center,Jilin University,Changchun 130012)

机构地区：[1]吉林大学商学与管理学院,长春130012 [2]吉林大学信息资源研究中心,长春130012

出　　处：《情报学报》2023年第7期761-774,共14页Journal of the China Society for Scientific and Technical Information

基　　金：国家社会科学基金项目“多源数据驱动下产业竞争情报智慧服务机制与模式研究”(21BTQ075)。

摘　　要：探索数智驱动背景下产业竞争情报智慧服务的认知与实现等问题,有助于情报赋能产业健康有序发展。本文采用系统性文献综述与案例分析方法,按照“认识问题-分析问题-解决问题”的论证思维公式,从服务认识、服务分析、服务实现三个视角探讨产业竞争情报智慧服务的研究进展,概括并揭示产业竞争情报服务具有“服务技术智能交互化、服务模式问题导向化、服务环境积极生态化”的新特点。本文提出的“智能技术多维度融入、服务范式深层次转变、服务生态全方位重塑”的认知框架,以及“数据融合-知识挖掘-智慧服务”的实现逻辑,有助于拓展产业竞争情报服务理论,为服务实践提供了新思路。To develop a healthy and orderly intelligence-enabled industry,cognition and realization of an industrial competitive intelligence service under digital intelligence background should be explored.This study presents a systematic literature review and case analysis according to the proof thinking formula of the cognition problem-analysis problem-solution problem,discusses the research progress of the industrial competitive intelligence from three service perspectives:cognition,analysis,and realization,and identifies and summarizes the new characteristics of the competitive intelligence service industry,including the intelligent interaction of service technology,problem-oriented service model,and positive ecology of service environment.The cognitive framework of the multi-dimensional integration of intelligent technology,deep transformation of service paradigm,and all-round reconstruction of service ecology,as well as the realization logic of the data fusion-knowledge mining-intelligence service will help expand the theory of industrial competitive intelligence service and provide new ideas for intelligence service practices.

关 键 词：产业竞争情报 智慧服务 数智驱动 认知框架 实现逻辑 

分 类 号：F49[经济管理—产业经济] G358[文化科学—情报学]