Autonomous Embedding of High-level Talents at Double First-class Universities: A Case Study of the Construction of a High-level Talent Special Zone at University
Xu Xuan
Talent Work Office, Zhejiang University, Hangzhou 310058, China
Abstract：The talent ecosystem, as a crucial support system for promoting the development of high-level talents at universities and colleges, depends on the bidirectional embedding between the structural elements of the talent ecosystem and the high-level talent subjects. Currently, the dominant passive embedding path driven by external institutional supply has shown good effects in talent allocation and the expansion of talent resource scale. However, it also exhibits a problem of dual disembedding between the structure and subject. So it is difficult for the systematic structural conditions to adapt to the characteristics and development laws of high-level talent groups, presenting subject-disembedding; high-level talents are relatively alienated from the university, showing subject disembedding.Drawing on the perspective of embeddedness theory in social network analysis and taking the construction of the high-talent special zone of University A as the research object, this paper proposes and demonstrates a path and mechanism of autonomous embedding of high-level talent. The study found that: (1) Bidirectional embedding between structural elements of the talent ecosystem and the high-level talent subjects does not form spontaneously and cannot be achieved solely through the dominant mode of passive embedding driven by external institutional supply. It follows that an organic combination of the two and the adoption of autonomous embedding is required. (2) The operation of autonomous embedding is the result of the joint actions of three forces: institutional drive, self-maintenance of the self-organized space, and active guidance of high-level talents. Firstly, providing the functions and status of micro-talent ecosystem, micro-governance unit, and micro-network node for the self-organized space, which has been driven by institutional elements, makes the talent ecosystem better fit the characteristics and development patterns of high-level talent groups, and also promotes the sinking of school governance units, weakening the tension between school governance structure and high-level talents, and offering support for structural embedding. Secondly, under the configuration of key actors, academic communities, and cultural climate, the self-maintenance of the self-organized high-level talents is expected to be realized, which can not only enhance the initiative of high-level talents but also further enhance their sense of identity. Thirdly, the personalized assessment methods are likely to prompt high-level talents to adapt to the external ecosystems in terms of action orientation and value cognition, which may provide support for subject embedding and so to achieve the organic integration of high-level talents with the development of the school undertakings.First-class universities and colleges in China are faced with a new round of challenges in attracting and maintaining high-level talents. New scientific, technological and industrial transformations, together with decreased resourcing and intensification of domestic and international talent competitions has reshaped the global talent landscape. The passive embedding dominated by external institutional supply has difficulty adapting to such objective changes. Therefore, accelerating the exploration of the path and mechanisms of autonomous embedding of high-level talent programs is of great significance currently. However, how to handle the issues in resource supply, talent collaboration, and sustainable operation in this practical path has not been deeply discussed in this research. More importantly, the talent special zone is just a primary stage of autonomous embedding practice. The goal of building a talent ecosystem at universities is to eventually eliminate the talent special zone, enabling autonomous embedding to be realized on a larger scale. Therefore, further exploration and research are needed on the transformation of the following aspects: overall concept of human resources at universities to promote the idea of talent attracting, nurturing, employing and retaining, the school governance structure to adopt the talent-centered pattern, and the academic community composed of all teachers to evolve into a good micro-ecological model built by the talent special zone.
许翾. “双一流”高校高层次人才自主式嵌入的路径与机制创新[J]. 浙江大学学报(人文社会科学版), 2024, 54(8): 22-32.
Xu Xuan. Autonomous Embedding of High-level Talents at Double First-class Universities: A Case Study of the Construction of a High-level Talent Special Zone at University. JOURNAL OF ZHEJIANG UNIVERSITY, 2024, 54(8): 22-32.
1 黄梅、吴国蔚：《人才生态环境综合评价体系研究》，《科技管理研究》2009年第1期，第62-65页。 2 林新奇：《不仅要“引才”，还要“育才”“用才”“留才”，构建完善的“引育用留”人才制度体系》，《人民论坛》2018年第15期，第34-36页。 3 戴福祥、章娜、杨佳敏：《高技能人才生态系统要素间的相互关系及其模型构建——以湖北省为例》，《武汉理工大学学报（社会科学版）》2021年第2期，第94-103页。 4 孙博、刘善仕、葛淳棉等：《社会网络嵌入视角下人才流动对企业战略柔性的影响研究》，《管理学报》2020年第12期，第1760-1768页。 5 龙梦晴、邹慧娟、吴蓓：《新时代高校人才流动的生态位理论研究》，《中国高等教育》2022年第19期，第44-46页。 6 阎凤桥、管培俊：《中国大学治理结构中的行动空间构型：聚焦党政领导关系》，《高等教育研究》2020年第9期，第18-24页。 7 黄海刚、连洁、曲越：《高校“人才争夺”：谁是受益者？——基于“长江学者”获得者的实证分析》，《北京师范大学学报（社会科学版）》2018年第5期，第39-52页。 8 孙涛：《困境与出路：“双一流”建设视域下的高校教师流动》，《北京社会科学》2020年第6期，第37-45页。 9 顾然、商华：《基于生态系统理论的人才生态环境评价指标体系构建》，《中国人口·资源与环境》2017年第5期（增刊），第289-294页。 10 Chris B.， “European perspectives on human resource management，” Human Resource Management Review， Vol. 14 （2004）， pp. 365-382. 11 陈建俞、沈慧青：《中国人才生态学研究现状及发展趋势》，《科技导报》2019年第10期，第74-80页。 12 李锡元、查盈盈：《人才生态环境评价体系及其优化》，《科技进步与对策》2006年第3期，第37-39页。 13 刘瑞波、边志强：《科技人才社会生态环境评价体系研究》，《中国人口·资源与环境》2014年第7期，第133-139页。 14 王顺：《我国城市人才环境综合评价指标体系研究》，《中国软科学》2004年第3期，第148-151页。 15 Charlotta M. & Richard F.， “Creativity， talent， and regional wages in Sweden，” Annals of Regional Science， Vol. 46， No. 3 （2011）， pp. 637-660. 16 唐德章：《人才生态系统的动态平衡及政策措施》，《生态经济》1990年第6期，第31-35页。 17 缴旭、豆鹏、寇远涛等：《科技人才生态系统自组织演化机制——条件、诱因、动力和过程》，《北京教育学院学报》2019年第5期，第43-50页。 18 符平：《“嵌入性”：两种取向及其分歧》，《社会学研究》2009年第5期，第141-164页。 19 Granovetter M.， “Economic action and social structure： the problem of embeddedness，” American Journal of Sociology， Vol. 91， No. 3 （1985）， pp. 481-510. 20 Granovetter M.， “The impact of social structure on economic outcomes，” Journal of Economic Perspectives， Vol. 19， No. 1 （2005）， pp. 33-50. 21 Zukin S. & DiMaggio P.， Structures of Capital：The Social Organisation of the Economy， Cambridge： Cambridge University Press， 1990. 22 阎梦娇：《大学学术自治与科层制的冲突与平衡——基于中国大学治理结构的分析》，《高教探索》2019年第8期，第10-14页。 23 徐军：《坚持和完善党对高校全面领导的体制机制》，《思想理论教育》2021年第4期，第74-79页。
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