基于生命周期理论的科研人员学术生涯特征及影响因素分析

赵越, 肖仙桃

知识管理论坛 ›› 2017, Vol. 2 ›› Issue (2) : 136-144.

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PDF(626 KB)
知识管理论坛 ›› 2017, Vol. 2 ›› Issue (2) : 136-144. DOI: 10.13266/j.issn.2095-5472.2017.015

基于生命周期理论的科研人员学术生涯特征及影响因素分析

  • 赵越, 肖仙桃
作者信息 +

Analysis on the Academic Appearance of Researchers’ Career Based on the Life Cycle Approach

  • Zhao Yue, Xiao Xiantao
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文章历史 +

摘要

[目的/意义] 对学术生命周期研究现状进行剖析,分析现有研究存在的不足及疏漏,进而提出可改进方向及下一步的研究重点。[方法/过程] 分析学术生命周期各阶段特点以及已有学术生命周期影响因素分类,分析现有研究的特点并提出不足。[结果/结论] 目前研究存在的问题:偏定性研究,定量研究甚少;仅考虑长期的、单一的影响因素;忽略了学科间的差异性;样本选择方面存在偏差和局限性。未来研究展望:通过定性、定量方法相融合和具体的数据分析得到科研工作者成长规律,同时考虑学科及科研群体本身的差异性,为科研工作者学术生涯规划提供参考,为国家和机构制定人才政策提供辅助。

Abstract

[Purpose/significance] By analyzing the research status of the academic life cycle, this paper analyzes problems and omissions in the current research, and puts forward the improvement direction and research points. [Method/process] After analyzing the feature and influence factors of the academic life cycle, this paper referred to the characteristics of the current research. [Result/conclusion] There are existing problems. First, the current research takes the qualitative analysis, lacking enough quantitative analysis. Second, it only takes the long term and single factor into consideration. Third, the current research ignores the difference among subjects. Last, there are bias and limitations during the sample selecting. This paper offers advice for the country, institutes and researchers by getting the law of researchers’ career, which comes from the combination of qualitative and quantitative methods with data analyses with the consideration of the difference of disciplines and the scientific research group.

关键词

学术生命周期 / 学术生涯 / 人才成长规律 / 人才政策

Key words

academic life cycle / academic career / law of talents growth / talents policy

引用本文

导出引用
赵越, 肖仙桃. 基于生命周期理论的科研人员学术生涯特征及影响因素分析[J]. 知识管理论坛. 2017, 2(2): 136-144 https://doi.org/10.13266/j.issn.2095-5472.2017.015
Zhao Yue, Xiao Xiantao. Analysis on the Academic Appearance of Researchers’ Career Based on the Life Cycle Approach[J]. Knowledge Management Forum. 2017, 2(2): 136-144 https://doi.org/10.13266/j.issn.2095-5472.2017.015
中图分类号: G316   

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