大数据背景下我国企业信用研究综述——基于CSSCI检索论文的分析  

A Summary of China's Enterprise Credit Research in the Background of Big Data:Analysis Based on CSSCI Retrieval Papers

作　　者：韩嵩[1] 李晓俊 

机构地区：[1]北京物资学院信息学院,北京101149

出　　处：《金融理论与实践》2018年第10期107-113,共7页Financial Theory and Practice

基　　金："十三五"时期北京市属高校高水平教师队伍建设支持计划;北京市属高校青年拔尖人才培育计划

摘　　要：大数据背景下,文本、音频、视频等非结构化数据信息以及大数据处理模式开始在企业信用评价领域得到关注。在此背景下,基于CSSCI关于企业信用的学术成果,对国内企业信用研究的总体趋势以及具体的研究内容进行详细的梳理与总结,针对我国企业信用现状研究、企业信用指标研究、企业信用评价模型研究、企业信用管理研究四个方面对企业信用研究文献展开了述评,旨在总结现有文献的成果与不足,明晰未来研究方向,推动企业信用研究发展。Under the background of big data,the application of unstructured data information,like texts,audio and video,etc and big data processing models begins to arouse great attention in enterprises credit evaluation.Based on CSSCI academic achievements on enterprise credits,this paper summarizes the general trend and detailed research contents of domestic enterprise credit and reviews enterprise credit research literature from four aspects:enterprise credit current status research,enterprise credit index research,enterprise credit evaluation model research and enterprise credit management research,aiming to summarize the achievements and deficiencies of existed literature,clarify the future research direction and promote the development of enterprise credit research.

关 键 词：企业信用评价 大数据 企业信用管理 

分 类 号：F830.56[经济管理—金融学]