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大数据环境下,竞争情报研究不应是单纯的情报收集与分析的信息技术实现问题,还应关注其在企业核心能力方面所能提供的知识和智力支持。揭示竞争情报需求的本原共性特征及完备的竞争情报知识体系是迎接大数据挑战的关键所在。文章以企业资源为竞争情报分析对象,构建细粒度性的资源情报知识元模型;通过知识融合方法优化资源知识元体系,为资源情报的隐性知识发现及企业核心能力评估提供了必要的先验知识。技术创新情报实例原型系统体现了基于企业资源的竞争情报知识元构建与融合研究的阶段性成果,并有效证明其可行性。
In the big data environment, the research on competitive intelligence should not be a simple information technology implementation problem of intelligence gathering and analysis, but also should pay attention to the knowledge and intellectual support it can provide in the core competence of enterprises. Revealing the original common features of competitive intelligence needs and a complete knowledge system of competitive intelligence are the keys to meeting the challenge of big data. In this paper, the enterprise resource is the object of competitive intelligence analysis and a fine-grained resource intelligence knowledge meta-model is constructed. By optimizing the resource knowledge meta-system through knowledge fusion method, the article provides the necessary prior knowledge for the discovery of tacit knowledge of resource intelligence and the evaluation of enterprise’s core competence know how. The prototype system of technological innovation intelligence reflects the stage achievements of the research on the construction and integration of competitive intelligence knowledge elements based on enterprise resources, and effectively proves its feasibility.