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“互联网+”背景下图书馆信息生态环境分析 被引量:7

Information Ecological Environment Analysis of Library in the Context of Internet Plus
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摘要 【目的/意义】探讨适应"互联网+"战略背景的图书馆信息生态环境构成因子及其关系旨在推动信息资源的有序组织和增值,保障信息生态系统的良性运行,促进图书馆服务模式转型。【方法/过程】采用层次分析法构建图书馆信息生态环境构成因子的评价模型,利用数学方法确定各项因素的权重值,为信息生态环境构成因子及其相互作用的优化决策提供依据。【结果/结论】图书馆信息生态环境是信息主体、信息客体、信息介体、信息环体和信息链体相互平衡、相互协调的结果,信息链体统筹、协调、引导并制约着各因子的相互联系和作用方式,以定量研究结果为参考优化图书馆信息生态环境的构成是维护图书馆信息生态系统平衡与可持续发展的基础。 【Purpose/significance】To discuss the composition factors and their relations of the library information ecological environment in the context of internet plus is aimed at promoting the orderly organization and appreciation of information resources, ensuring the healthy operation of the information ecosystem, and promoting the transformation of library service model.【Method/process】We use the Analytic Hierarchy Process to establish the evaluation model of the composition factors of library information ecological environment, determine the weight of each factor, and provide a basis for the optimization of information ecological environment composition factors and their interaction.【Result/conclusion】The library information ecological environment is the result of mutual balance and coordination among information subject, information object, information media, information condition and information chain. Information chain coordinate, guide and restrict the interaction and action of each factor. It is the basis of maintaining the balance and sustainable development of the library information ecosystem to optimize the composition of the library information ecological environment based on quantitative results.
作者 吕莉媛 陈秀华 LV Li-yuan CHEN Xiu-hua(Harbin Normal University, Harbin 150080, China Northeast Forestry University,Harbin 150080, China)
出处 《情报科学》 CSSCI 北大核心 2017年第10期43-48,共6页 Information Science
基金 黑龙江省哲社规划项目(15TQB03) 国家社科基金项目(16BTQ003) 黑龙江省高校图工委一般课题(2015-A-001)
关键词 互联网+ 信息生态环境 环境构成因子 层次分析法 环境优化构成 internet plus information ecological environment environmental composition factor analytic hierarchy process environmental optimization composition
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