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The knowledge network dynamics in a mobile ecosystem: a patent citation analysis

Author

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  • Sanghoon Lee

    (KAIST
    Busan Institute of Science and Technology Evaluation and Planning)

  • Wonjoon Kim

    (KAIST)

Abstract

The paradigm of the mobile ecosystem is rapidly changing, especially since the uction of smart devices. New important players are emerging, and the scope of the mobile ecosystem is expanding and encroaching on the technological boundaries of other IT ecosystems. However, our understanding of the mobile ecosystem has been limited given the few existing studies. Therefore, in this paper, we empirically examine the network structure of a mobile ecosystem by measuring the technology knowledge flows between firms based on a patent citation analysis of the mobile industry. We found that platform providers are emerging as the center of the knowledge flow activity in the ecosystem. By introducing a new network index, the Network Concentration Index, which measures a firm’s knowledge concentration ratio toward subsectors, we also found that each platform provider shows distinctive changing patterns in their technology knowledge network and that each is forming its own sub-network with increased influence on affiliated firms.

Suggested Citation

  • Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2270-9
    DOI: 10.1007/s11192-017-2270-9
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    Cited by:

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    2. Tengfei Wang & Henrik Halkier & Laura James & Renxu Gu & Cheng Chi, 2022. "External Knowledge Linkages and the Evolution of Comparative Advantage: An Examination of Territorial Knowledge Dynamics in China," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    3. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
    4. Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.
    5. Jiang, Syuan-Yi, 2022. "Transition and innovation ecosystem – investigating technologies, focal actors, and institution in eHealth innovations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

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