大数据时代基于众包的竞争情报运行机制研究  

On Competitive Intelligence Mechanism Based on Crowdsourcing in the Era of Big Data

作　　者：陈强[1] 吴金红[1] 张玉峰[2] 

机构地区：[1]武汉纺织大学管理学院,武汉430200 [2]武汉大学信息资源研究中心,武汉430074

出　　处：《情报杂志》2013年第8期15-18,26,共5页Journal of Intelligence

基　　金：国家自然科学基金项目"企业竞争情报智能分析模型与方法研究"(编号:71073121);教育部人文社会科学青年基金项目"泛在信息环境下基于情境感知的自适应信息服务研究"(编号:11YJC870026)

摘　　要：众包是竞争情报在大数据环境下一种有效、可行的工作模式。文章首先阐述了众包的涵义,提出了由四个维度组成的众包概念框架并描述其本质特征。然后提出了基于众包模式的竞争情报运行的逻辑框架,在此基础上,从智力支持、控制成本、激发创新来描述众包的核心优势以及不足之处。最后从组织、系统、参与者这三个角度阐明众包运行的关键问题。本文的研究成果有助于创新竞争情报模式,提升竞争情报部门应对大数据的能力。Crowdsourcing is an effective and feasible working mode for competitive intelligence in the environment of big data. Firstly, the connotation of crowdsourcing is explained, the conceptual framework with four dimensions and the essential characteristics of crowdsourc- ing are described. Then, the logical framework of competitive intelligence based on crowdsourcing is put forward. On the basis of discus-sion above, its advantages are elaborated from aspects of intellectual support, cost control, innovation stimulation; its disadvantages are al- so discussed. Finally, the key problems are clarified from three aspects of organization, system, and participant. Research results of this paper can help innovate the mode of competitive intelligence and enhance the ability of competitive intelligence departments to deal with big data.

关 键 词：大数据 众包 竞争情报 大众智慧 

分 类 号：G350[文化科学—情报学]