摘要
文章结合大数据时代的特征分析生产性服务业的信息需求特点及内容,以此为基础构建了生产性服务业的信息服务模式,为推动产业发展中合理运用信息提供具体建议。首先概述了生产性服务业发展的演化历程并结合大数据特征分析信息需求特点及该产业各阶段的信息需求内容,然后构建了生产性服务业的信息服务模式,并基于"六何分析法"从六个层面对不同阶段的信息服务内容进行系统梳理和对比分析。研究表明:大数据时代催生了新的生产要素、思维方式和技术手段的产生,结合不同阶段生产性服务业的信息需求内容,通过具体的信息服务模式能够认识生产性服务业在大数据时代的信息资源利用过程。
This paper constructs a information service model of productive service industry based on the analysis about characteristics and content of information requirements of productive service industry combined with the charac- teristic in big data, so as to provide specific measures to make rational use of the information for this industrial develop- ment.First, it summarizes the evolution of productive service industry and analyses the characteristic and content of in- formation requirements combined with the big data features, then constructs the information service model of produc- tive service industry, and compares the information service contents in different times from the six different perspec- tives based on 5W1H.Resuhs show that the era of big data has promoted the production of new production factors, ways of thinking and technological means, it can realize the process of productive service industry in the era of big data through the specific information service mode, combined with the corresponding information requirement contents.
作者
辛本禄
王今
Xin Benlu, Wang Jin(Business School ofJilin University,Changchun, 13001)
出处
《情报资料工作》
CSSCI
北大核心
2018年第6期81-89,共9页
Information and Documentation Services
基金
教育部重点研究基地重大项目"基于权力范式的制度变迁理论研究"(编号:15JJD790011)
吉林省教育厅社会科学研究重点项目"吉林省产业结构优化升级实施路径研究"(编号:吉教科文合字[2015]556号)的研究成果
关键词
生产性服务业
信息需求
信息服务模式
大数据
productive service industry
information requirements
information service model
big data