A Comparison of Structural Position and Exploitative Innovation Based on a Patent Citation Network of the Top 100 Digital Companies

Hyun Mo Kang, I. Choi, Jae Kyeong Kim, HyunSun Shin
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引用次数: 1

Abstract

Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.
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基于数字百强企业专利引文网络的结构地位与剥削性创新比较
知识驱动商业创新。然而,即使公司在商业生态系统中具有相同的知识元素,创新绩效也会因技术知识网络的结构位置而异。本研究调查了根据人工智能技术知识网络的结构位置,开发性创新是否存在差异。我们收集了2015年至2019年在美国专利局注册的前100家数字公司的专利,并从知识创造和流动的角度将这些公司分为基于知识生产者的经纪人、基于知识吸收者的经纪人、知识吸收者和知识生产者。分析结果如下。首先,排名前100的数字公司中,少数公司传播、吸收和中介知识,而大多数公司则没有。其次,开发性创新最大,依次为知识生产者、基于知识吸收者的经纪人、知识吸收者和基于知识生产者的经纪人。最后,工业智能的专利占很大比例,知识生产者正在主导剥削性创新。因此,后来者需要通过引用领先公司拥有的专利来扩大资源和能力,并与现有行业融合为基于人工智能的行业。
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来源期刊
Asia Pacific Journal of Information Systems
Asia Pacific Journal of Information Systems Social Sciences-Sociology and Political Science
CiteScore
0.90
自引率
0.00%
发文量
29
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