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

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제31권 제3호 (2021.09)바로가기
  • 페이지
    pp.358-377
  • 저자
    Hyun Mo Kang, Il Young Choi, Jae Kyeong Kim, Hyun Joo Shin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A399720

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원문정보

초록

영어
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.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Related Works
2.1. Artificial Intelligence
2.2. Innovation
2.3. Patent Citation Network Analysis
Ⅲ. Research Method
3.1. Research Process
3.2. Sample and Data
Ⅳ. Experimental Results
4.1. Frequency Analysis
4.2. Company Classification
4.3. Comparison of Exploitative Innovation
Ⅴ. Conclusions


키워드

Artificial Intelligence Exploitative Innovation Knowledge Network Knowledge Flow Patent Citation Network

저자

  • Hyun Mo Kang [ Researcher, AI Management Research Center, Kyung Hee University, Korea ]
  • Il Young Choi [ Lecturer, Graduate School of Business Administration, Kyung Hee University, Korea ]
  • Jae Kyeong Kim [ Professor, School of Management, Kyung Hee University, Korea ]
  • Hyun Joo Shin [ Ph.D. Candidate, Department of Business Administration, Graduate School, Kyung Hee University, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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