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Determining inventor status and its effect on knowledge diffusion: A study on nanotechnology literature from China, Russia, and India

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  • Xuan Liu
  • Siddharth Kaza
  • Pengzhu Zhang
  • Hsinchun Chen

Abstract

In an increasingly global research landscape, it is important to identify the most prolific researchers in various institutions and their influence on the diffusion of knowledge. Knowledge diffusion within institutions is influenced by not just the status of individual researchers but also the collaborative culture that determines status. There are various methods to measure individual status, but few studies have compared them or explored the possible effects of different cultures on the status measures. In this article, we examine knowledge diffusion within science and technology‐oriented research organizations. Using social network analysis metrics to measure individual status in large‐scale coauthorship networks, we studied an individual's impact on the recombination of knowledge to produce innovation in nanotechnology. Data from the most productive and high‐impact institutions in China (Chinese Academy of Sciences), Russia (Russian Academy of Sciences), and India (Indian Institutes of Technology) were used. We found that boundary‐spanning individuals influenced knowledge diffusion in all countries. However, our results also indicate that cultural and institutional differences may influence knowledge diffusion.

Suggested Citation

  • Xuan Liu & Siddharth Kaza & Pengzhu Zhang & Hsinchun Chen, 2011. "Determining inventor status and its effect on knowledge diffusion: A study on nanotechnology literature from China, Russia, and India," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1166-1176, June.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:6:p:1166-1176
    DOI: 10.1002/asi.21528
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    Citations

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    Cited by:

    1. Shan Jiang & Hsinchun Chen, 2019. "Examining patterns of scientific knowledge diffusion based on knowledge cyber infrastructure: a multi-dimensional network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1599-1617, December.
    2. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    3. Anil Nair & Orhun Guldiken & Stav Fainshmidt & Amir Pezeshkan, 2015. "Innovation in India: A review of past research and future directions," Asia Pacific Journal of Management, Springer, vol. 32(4), pages 925-958, December.
    4. Xuan Liu & Shan Jiang & Hsinchun Chen & Catherine A. Larson & Mihail C. Roco, 2015. "Modeling knowledge diffusion in scientific innovation networks: an institutional comparison between China and US with illustration for nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1953-1984, December.
    5. Jiancheng Guan & Wenjia Zhu, 2014. "How knowledge diffuses across countries: a case study in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2129-2144, March.
    6. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.

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