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IPR policies and determinants of membership in Standard Setting Organizations: a social network analysis

Author

Listed:
  • Jiaming Jiang

    (Okayama University)

  • Rajeev K. Goel

    (Illinois State University
    Kiel Institute for the World Economy)

  • Xingyuan Zhang

    (Okayama University)

Abstract

Whereas technical standards and Standard Setting Organizations (SSOs) are omnipresent and essential to mass production and communications, relatively little is formally known about the propensity of firms’ decisions to belong to certain SSOs. An understanding of such propensities can explain why some firms join SSOs (and others do not) and have implications for the regulation of SSOs. This paper uses a social network analysis technique to categorize/place firms in SSO communities and then empirically analyzes their propensities to belong to SSOs. We concentrate our study on standard setting organizations’ features and their intellectual property rights (IPR) policies such as licensing rules, disclosure requirements, as well as the features of the decision process of standards. Using data on more than 1060 member firms as participants in 28 SSOs, we are able to uniquely graph the membership of firms in SSOs by highlighting some important characteristics through community detection. The results provide some novel insights into why firms might choose certain SSO communities over others.

Suggested Citation

  • Jiaming Jiang & Rajeev K. Goel & Xingyuan Zhang, 2020. "IPR policies and determinants of membership in Standard Setting Organizations: a social network analysis," Netnomics, Springer, vol. 21(1), pages 129-154, December.
    • Handle: RePEc:kap:netnom:v:21:y:2020:i:1:d:10.1007_s11066-020-09144-6
    DOI: 10.1007/s11066-020-09144-6
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    Cited by:

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    2. Qian Yu & Rui Tao & Shan Jiang, 2023. "Exploring the evolution of interdisciplinary citation network by the colored network motifs: the case of Perovskite Materials," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4421-4446, August.
    3. Jiaming Jiang & Yu Zhao, 2023. "Technology Trend Analysis of Japanese Green Vehicle Powertrains Technology Using Patent Citation Data," Energies, MDPI, vol. 16(5), pages 1-14, February.

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    More about this item

    Keywords

    Standard setting organizations; Intellectual property rights policies; Network analysis; Community detection; Patents; Licensing;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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