Research on Strategic Scientific and Technological Talents Incentive Development Strategy Based on Urban Talent Platform Network Embedding
Li Jingzhi, Li Yongzhou, Xiao Zitong
School of Labor and Human Resources,Renmin University of China,Beijing 100872,China;Management School of Wuhan University of Science and Technology,Wuhan 430081,China;School of Foreign Languages, Peking University,Beijing 100091,China
Abstract：The urban talent platform plays a pivotal role in cultivating,motivating,and fostering an innovative environment for strategic scientific and technological talents.These tasks are inherently complex and critical.Consequently,it is imperative for the urban platform to identify the diverse characteristics of strategic scientific and technological talents.This paper applies the theories of heterogeneous human capital and network embeddedness to analyze the heterogeneous characteristics of strategic scientific and technological talents.It explains the incentive development mechanism of network embeddedness from the dimensions of structural,relational,and cognitive embeddedness.In addressing issues including the uneven distribution of urban talent clusters,insufficient international competitiveness,and the inadequacies in the structural organization and integration within the innovation,industry,capital,and talent chains.This paper proposes measures to enhance the urban talent platform.These measures include strengthening strategic coordination,accelerating the establishment of a hierarchical urban talent platform,optimizing the platform's layout,fostering deep integration of the innovation,industry,capital,and talent chains,improving the urban innovation environment,and enhancing the innovative effectiveness,experiences,and sense of belonging among strategic scientific and technological talents.
李静芝, 李永周, 肖姿彤. 基于城市人才平台网络嵌入的战略科技人才激励开发研究[J]. 中国科技论坛, 2024(11): 145-155.
Li Jingzhi, Li Yongzhou, Xiao Zitong. Research on Strategic Scientific and Technological Talents Incentive Development Strategy Based on Urban Talent Platform Network Embedding. , 2024(11): 145-155.
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