摘要
在大数据环境下,无论竞争情报学术研究还是竞争情报行业实践都面临着新的挑战和机遇,呈现出新的发展动态。以CNKI数据库中的154篇期刊论文为研究对象,采用内容分析法,从研究热点和研究特点两方面对大数据环境下的竞争情报研究现状进行总结和分析。结果发现,大数据影响下竞争情报领域的研究热点主要分布在四个领域:竞争情报分析与处理技术、竞争情报平台与系统构建、竞争情报服务与评价、产业竞争情报实践。研究特点主要有两个:研究层级实现了宏观、中观和微观三个层面的全覆盖;研究成果涉及竞争情报工作各个环节,包括情报的搜集、处理、分析、服务等。然后,归纳出大数据对竞争情报发展的直接影响和间接影响。最后,建议从思维方法、技术工具、人才培养等方面采取措施,以推动大数据环境下竞争情报的持续发展。
In the big data environment, both academic research and industrial application of competitive intelligence（CI） are faced with new challenges and opportunities and take on new developmental trends. The hot spots and features of research on CI were identified through an analysis of the content of 154 journal articles in CNKI database. Results show that there have been mainly four hot issues on CI in the big data environment, namely, CI analysis and processing technology, construction of CI platform and system, CI service and, CI service and evaluation, CI application in industry. The two main research features are that the research has covered all the three level of macro, medium and micro, and the research production has dealt with all links of CI work, including information collection, processing, analysis,service and the like. The direct and indirect influence of big data on the development of CI was summed up. At last, some measures were suggested from the aspects of thinking method,technical tools and personnel developing in order to push forward the sustainable development of CI in the big data environment.
出处
《图书情报研究》
2016年第2期26-31,共6页
Library and Information Studies
基金
国家社会科学基金重点项目"大数据环境下的计算型情报分析方法与技术研究"(项目编号:14ATQ005)的研究成果之一
关键词
大数据
竞争情报
内容分析法
研究热点
研究特点
影响
big data
competitive intelligence
content analysis
research hotspot
research feature
influence
作者简介
赵柯然，女，1992年生，2015级情报学博士研究生，研究方向为情报研究。
