摘要
注重整体性与协同性,在梳理人力资本、社会资本以及科研绩效之间关系的基础上,从两类资本中选取各自的核心变量作为条件变量进行联并分析。基于91名高水平学者数据,利用模糊集定性比较分析(fsQCA)方法探索各条件变量对学者实现高科研绩效的联动效应和路径。根据存在的6种前因条件构型归纳4类特点鲜明的高科研绩效学者,分别为全面型、广泛合作型、中介主导型和精准合作型,并分析总结各类型学者实现高科研绩效的主要原因。最后基于研究结论提出相关政策建议:高校和科研院所应鼓励学者进行广泛合作以及精准合作,并充分发挥这两种合作方式的优势;同时应充分认识广泛合作型学者和精准合作型学者的不足并积极引导帮扶;而全面型学者和中介主导型学者则需要找准突破口,以在科研影响力上更进一步。
Focusing on integrity and coordination and basing on combing the relationship among human capital,social capital and research performance,this paper choses the core variables from human capital and social capital as condition variables to analyze jointly.Based on the data of 91 high performance scholars,the paper uses fuzzy-set qualitative comparative analysis method to explore the linkage effect and path of each condition variable on scholars'achievement of high research performance.Based on the six configurations,the paper summarizes four types of high-performance researchers with distinct characteristics,and puts forward the types of scholars,namely comprehensive type,extensive cooperation type,intermediary leading type and precise cooperation type,and analyzes the main reasons for various types of scholars to achieve high research performance.Finally,based on the conclusion of the research,the paper proposes relevant policy recommendations:universities and research institutes should encourage scholars to cooperate extensively and precisely,and give full play to the advantages of these two ways of cooperation,at the same time should also fully understand the shortcomings of extensive cooperation type scholars and precise cooperation type scholars,and help them actively;comprehensive type scholars and intermediary leading type scholars need to find a breakthrough to increase their research influence.
作者
秦梓韬
马卫华
许治
赛夫
Qin Zitao;Ma Weihua;Xu Zhi;Sai Fu(School of Business Administration,South China University of Technology,Guangzhou 510641,China;South China Normal University,Guangzhou 510631,China)
出处
《科技管理研究》
CSSCI
北大核心
2020年第24期159-167,共9页
Science and Technology Management Research
基金
国家社会科学基金项目“‘互联网+’情境下制造业创新生态系统运行机制研究”(17BGL225)
国家自然科学基金面上项目“孵化器创新生态系统结构、行为与演化研究”(7157030908)。
