大数据背景下企业竞争情报系统评价研究  

Study on the Evaluation of Enterprise Competitive Intelligence System under the Background of Big Data

作　　者：宋杰鲲[1] 赵志浩 张业蒙 陈锐 Song Jiekun;Zhao Zhihao;Zhang Yemeng;Chen Rui(School of Economics and Management,China University of Petroleum,Qingdao 266580)

机构地区：[1]中国石油大学(华东)经济管理学院,青岛266580

出　　处：《情报杂志》2020年第8期186-192,136,共8页Journal of Intelligence

基　　金：国家自然科学基金项目“多源并发协同物流网络随机任务与共享资源动态调配研究”(编号:71871222)研究成果之一。

摘　　要：[目的/意义]大数据对企业竞争情报系统(ECIS)提出了新的挑战,开展大数据背景下ECIS评价有助于企业全面把握竞争情报系统质量,为整体系统改进提供决策支持。[方法/过程]构建了包含产出、能力和资源三方面15个指标的ECIS评价指标体系;基于各类指标的直觉模糊数转换,形成了单一评价、相容性检验、组合评价、一致性检验的评价流程,给出具体的模型和计算步骤,并对某石油集团公司进行实例分析。[结果/结论]研究结果表明,构建的评价指标体系与模型体系客观、实用,并能为ECIS评价提供新的思路与方法。[Purpose/Significance]Big data brings new challenges to the enterprise competitive intelligence system(ECIS).In the context of big data,ECIS evaluation is helpful for enterprises to grasp the quality of competitive intelligence system and provide decision support for the overall system improvement.[Method/Process]In this paper,An ECIS evaluation index system is constructed,which includes three aspects,i.e.output,capacity and resource,and 15 indexes.Based on the transformation of various indicators into intuitionistic fuzzy number form,the evaluation process of single evaluation,compatibility test,combination evaluation and consistency test is formed.The specific models and calculation steps are given,and an example of an oil group company is analyzed.[Result/Conclusion]The results show that the evaluation index system and model system are objective and practical,which provide a new idea or methods for ECIS evaluation.

关 键 词：大数据 企业竞争情报系统 组合评价 混合多属性 直觉模糊集 

分 类 号：G203[文化科学—传播学]