三螺旋模型视角下的高科技人才机构属性及学科交叉研究

发布时间：2018-08-15 19:33

【摘要】：【目的】以ESI、WoS数据库作为数据来源,分析目前高科技人才机构属性及学科交叉情况。【方法】基于三螺旋模型,详细探讨高科技人才所属机构、机构间合作,并从学科维度分析从属学科的三螺旋合作以及其动态演化情况。【结果】结果表明个体机构就从属而言以高校为主,并逐渐向高校企业和高校政府方向发展,然而同时属于三个属性机构高校政府企业的人员尚少;人员合作上仍以高校成员之间的合作为主,表现为内部合作较为紧密,交叉合作相对较弱;学科演变模式上T(ugi)随时间逐渐增大,交叉发展将是未来学科的方向。【局限】抽样方法上以典型抽样为主,存在一定的局限,后续工作中有待改善。【结论】有效地扩展三螺旋模型的应用范围,并补充了科技人才成长及流动方面的理论,同时对我国人才成长及配置提供参考建议。
[Abstract]:[objective] to analyze the attributes of high-tech talents and their interdiscipline based on ESIWoS database. [methods] based on the three-helix model, the cooperation between institutions and agencies of high-tech talents was discussed in detail. The results show that the individual institutions are dominated by colleges and universities, and gradually develop towards the direction of university enterprises and university governments, from the perspective of discipline dimension to the triple helix cooperation of subordinate disciplines and its dynamic evolution, and the results show that the individual institutions are dominated by colleges and universities in terms of subordination, and gradually develop towards universities and colleges and universities. But at the same time, there are few personnel who belong to the government and enterprises of three attribute institutions, and the cooperation of personnel is still mainly the cooperation among the members of colleges and universities, which shows that the internal cooperation is close, and the cross-cooperation is relatively weak. In the pattern of discipline evolution, T (ugi) increases gradually with time, and cross-development will be the direction of future disciplines. [limited] sampling methods are mainly typical sampling, and there are some limitations. [conclusion] the application scope of the triple helix model is extended effectively, the theory of the growth and flow of scientific and technological talents is supplemented, and some suggestions are provided for the growth and disposition of talents in China.
【作者单位】：南京大学信息管理学院;南京大学工程管理学院;
【基金】：中国科学技术信息研究所重点项目“国际科技人才成长规律探究” 南京大学研究生科研创新基金项目“重大工程决策的深度不确定性情景研究”的研究成果之一
【分类号】：G642;TP311.13

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