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创新生态系统视角下"卡脖子"技术潜在攻关主体识别研究

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科学识别潜在攻关主体是构建面向"卡脖子"技术攻关的创新生态系统的首要问题.本研究立足于资源编排理论,基于专利的特征信息、国际专利分类法(International Patent Classification,IPC)分类号和文本的多维数据,构建"卡脖子"技术潜在攻关主体识别两阶段模型.首先,通过评估领域创新主体的资源禀赋,形成潜在攻关主体"资源池";其次,评估系统领导者与潜在攻关主体间的协同能力,并基于资源禀赋与协同能力将潜在系统成员聚类分成核心型、发展型、一般型和外围型四类,据此进行成员选择;最后,以光刻机技术为例,应用模型并验证其科学性.
Identification of Potential Key Players in"Neck-Jamming"Technologies within Framework of Innovation Ecosystems
Identifying potential key players for addressing critical technological challenges is crucial in constructing an in-novation ecosystem that overcomes the disadvantages of"neck-jamming"technologies.This study employs resource or-chestration theory in conjunction with multidimensional patent data,including features,classification codes,and textual in-formation,to develop a two-stage model for identifying potential key players in"neck-jamming"technology.First,we evaluate the resource endowments of innovative entities in the field to create a"resource pool"of potential key players.Next,we assess the collaborative capabilities of system leaders and potential key players within this pool.Based on their resource endowments and collaborative capabilities,we classify the potential system members into four categories:core,developing,general,and peripheral.This categorization facilitates the selection of system members.Finally,we apply and validate the model using an example of lithography technology to demonstrate its scientific rigor.

"neck-jamming"technologiesinnovation ecosystemidentification of potential key playerspatent analysisbidirectional encoder representation from transformers(BERT)model

马宏业、冯南平、杨善林

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合肥工业大学管理学院,合肥 230009

数据科学与智慧社会治理教育部哲学社会科学实验室,合肥 230009

"卡脖子"技术 创新生态系统 潜在攻关主体识别 专利分析 BERT模型

2024

情报学报
中国科学技术情报学会 中国科学技术信息研究所

情报学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.296
ISSN:1000-0135
年,卷(期):2024.43(11)