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作 者:曹兴[1,2] 赵倩可 许羿 CAO Xing;ZHAO Qian-ke;XU Yi
机构地区:[1]中南大学商学院 [2]湖南第一师范学院商学院 [3]湖南财政经济学院
出 处:《科学决策》2024年第2期62-78,共17页Scientific Decision Making
基 金:国家社会科学基金重点项目(项目编号:22AJY0242)。
摘 要:新兴技术具有复杂性与不确定性特征,通过建立合作关系,成为创新主体获取跨领域知识资源,实现技术知识重组与转化的关键。本文通过收集虚拟现实技术专利数据,构建新兴技术合作创新网络,分析其网络演化特征,运用随机指数图模型,从网络结构特征与创新主体知识属性,探究网络不同阶段的形成机制。结果表明:网络结构特征中的择优性与传递性,促进了网络形成。在知识属性中,知识多样性对网络形成具有持续促进作用;知识邻近性从促进网络形成进而演变为阻碍网络形成;知识组合潜力与知识组合机会,在网络后续的发展中起着促进作用。Emerging technologies are characterized by complexity and uncertainty.Through the establishment of cooperative relations,they become the key for innovation subjects to obtain cross-domain knowledge resources and realize the reorganization and transformation of technical knowledge.By collecting virtual reality technology patent data,this paper builds a cooperative innovation network for emerging technologies,analyzes its network evolution characteristics,and uses a random index graph model to explore the formation mechanism of the network at different stages from the characteristics of the network structure and the knowledge attributes of innovation subjects.The results show that the preferability and transitivity of the network structure characteristics promote the formation of the network.Among knowledge attributes,knowledge diversity plays a continuous role in promoting network formation.Knowledge proximity has evolved from promoting network formation to hindering network formation.Knowledge combination potential and knowledge combination opportunity play a promoting role in the subsequent development of the network.This study enriches the theory of cooperative innovation network of emerging technologies and provides practical enlightenment for innovation entities to realize breakthrough development of emerging technologies.
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