图书情报工作

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2015 , Vol. 59 >Issue 5: 40 - 46

DOI: https://doi.org/10.13266/j.issn.0252-3116.2015.05.007

理论研究

面向区域创新的科技信息资源优化配置模式研究

  • 赵树宽 ,
  • 张大伟
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  • 吉林大学管理学院 长春 130022
赵树宽(ORCID:0000-0002-4743-2092),院长,教授,博士生导师;张大伟(ORCID:0000-0002-5084-5445),博士研究生,通讯作者,E-mail:zdw197899@sohu.com.

收稿日期: 2015-01-22

  修回日期: 2015-02-10

  网络出版日期: 2015-03-05

基金资助

本文系国家自然科学基金项目"产业技术轨道跃升对传统技术体系冲击机理及耦合模型研究"(项目编号:71273113)研究成果之一.

收起

Research of Orienting Regional Innovation of Information Resources Optimal Allocation Model of Science and Technology

  • Zhao Shukuan ,
  • Zhang Dawei
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  • Management School, Jilin University, Changchun 130022

Received date: 2015-01-22

  Revised date: 2015-02-10

  Online published: 2015-03-05

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摘要

[目的/意义] 在分析国内长三角、珠三角、京津冀和长吉图开发开放先导区科技信息资源配置实践进展和影响面向区域创新的科技信息资源配置因素的基础上,构建科技信息资源优化配置模式.[方法/过程] 结合科技信息资源的特点,设计科技信息资源配置影响因素评价指标体系,并根据影响因素和配置原则构建科技信息资源优化配置模式.分析区域政府、企业、高等院校、科技中介机构分别为主导的科技信息资源配置模式.[结果/结论]结果表明以单一主体进行的配置都不是最优的,面向区域创新的科技信息资源的优化配置需要政府的指导、企业的联合、高等院校的知识创新以及科技中介机构的联合.

关键词： 区域创新; 科技信息资源; 优化配置

本文引用格式

赵树宽 , 张大伟 . 面向区域创新的科技信息资源优化配置模式研究[J]. 图书情报工作, 2015 , 59(5) : 40 -46 . DOI: 10.13266/j.issn.0252-3116.2015.05.007

Abstract

[Purpose/significance] Based on the analysis of science and technology information resource allocation practice progress and factors influencing regional innovation of science and technology information resources allocation in Yangtze River Delta, the Pearl River Delta, and Beijing-Tianjin-Hebei and Changjitu area, built the science and technology information resource optimization allocation mode.[Method/process] According to the characteristics of the information resources of science and technology, designed science and technology information resource allocation influencing factors evaluation index system and according to the principle of science and technology information resource optimization allocation to build science and technology information resource optimization allocation mode. [Result/conclusion] Study has shown the single mode of science and technology information resource optimization allocation by government's guidance, enterprise of joint, knowledge innovation institutions of higher learning, the combination of science and technology intermediary agencies is not the most optimal. Study has shown that the optimal allocation of regional innovation of science and technology information resources needs the government's guidance, enterprise of joint, knowledge innovation institutions of higher learning and the combination of science and technology intermediary agencies.

Key words： regional innovation; science and technology; information resource; optimal allocation

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