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作 者:朱子轩 石静 Zhu Zixuan;Shi Jing
机构地区:[1]南京大学信息管理学院,江苏南京210023 [2]南京大学数据智能与交叉创新实验室,江苏南京210023
出 处:《图书与情报》2024年第5期53-61,共9页Library & Information
基 金:国家社会科学基金重大项目“前沿交叉领域识别与融合创新路径预测方法研究”(项目编号:23&ZD225)研究成果之一。
摘 要:团队是复杂创新活动最重要的组织形式之一,致力于探索团队创新互动过程与效能提升的团队科学学成为热门研究领域。创新的本质是知识组合,在团队中引入新的知识是提升团队创新力的重要方式,但这种新的知识如何影响创新绩效尚不清楚。文章提出团队知识新鲜度,从团队知识组成视角重新定义与测度团队的知识组合,基于此,从创新数量、创新质量与创新广度三个维度探究知识新鲜度对创新绩效的影响。研究发现:团队知识新鲜度与不同维度的团队创新绩效均存在倒“U”型关系;当团队引入相同数量的新知识组合时,知识组合的知识距离越远,越有助于团队创新绩效的提升;小规模团队与大规模团队呈现出相反的模式,小团队更适合中低水平的知识新鲜度,大团队更适合高水平的知识新鲜度。Teams are one of the most important organizational forms for complex innovation activities,and team science,which focuses on exploring the interaction processes and efficiency enhancement in team innovation,has become a popular research field.The essence of innovation lies in knowledge combination,and introducing new knowledge into teams is a key approach to enhancing team innovation capability.However,how this new knowledge influences innovation performance remains unclear.This paper proposes the concept of team knowledge freshness to define and measure the new knowledge combination from the perspective of team knowledge composition.Based on this,the study investigates the impact of knowledge freshness on innovation performance from three dimensions:innovation quantity,innovation quality,and innovation breadth.The findings are as follows:There is an inverted U-shaped relationship between team knowledge freshness and various dimensions of team innovation performance;When the same amount of new knowledge combination is introduced into a team,the greater the knowledge distance within the combination,the more it contributes to improving team innovation performance;Small teams and large teams exhibit opposite patterns:small teams are better suited to medium-to-low levels of knowledge freshness,while large teams perform better with high levels of knowledge freshness.
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