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Collaboration network patterns and research performance: the case of Korean public research institutions

Author

Listed:
  • Duk Hee Lee

    () (Korea Advanced Institute of Science and Technology)

  • Il Won Seo

    () (Korea Advanced Institute of Science and Technology)

  • Ho Chull Choe

    () (Management Strategy Team, Korea Research Institute of Chemical Technology)

  • Hee Dae Kim

    () (Future Strategy Team, Daegu Digital Industry Promotion Agency)

Abstract

This study examines the impact of collaborating patterns on the R&D performance of public research institutions (PRIs) in Korea’s science and engineering fields. For the construction of R&D collaborating networks based on the co-authorship data of 127 institutions in Scopus, this paper proposes four types of collaborations by categorizing network analyses into two dimensions: structural positions (density, efficiency, and betweeness centrality) and the relational characteristics of individual nodes (eigenvector and closeness centralities). To explore the research performance by collaboration type, we employ a data envelopment analysis window analysis of a panel of 23 PRIs over a 10-year period. Comparing the R&D productivities of each group, we find that the PRIs of higher productivity adhere to a cohesive networking strategy, retaining intensive relations with their existing partners. The empirical results suggest that excessively cohesive alliances might end up in ‘lock-in’ relations, hindering the exploitation of new opportunities for innovation. These findings are implicit in relation to the Korean Government’s R&D policies on collaborating strategies to produce sustained research results with the advent of the convergence research era.

Suggested Citation

  • Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
  • Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0602-8
    DOI: 10.1007/s11192-011-0602-8
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
    2. Pu Han & Jin Shi & Xiaoyan Li & Dongbo Wang & Si Shen & Xinning Su, 2014. "International collaboration in LIS: global trends and networks at the country and institution level," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 53-72, January.
    3. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
    4. Lipeng Fan & Yuefen Wang & Shengchun Ding & Binbin Qi, 0. "Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level," Scientometrics, Springer;Akadémiai Kiadó, vol. 0, pages 1-18.
    5. Poh Kam Wong & Annette Singh, 2013. "Do co-publications with industry lead to higher levels of university technology commercialization activity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 245-265, November.
    6. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.
    7. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    8. Tahir Hameed & Peter Von Staden & Ki-Seok Kwon, 2018. "Sustainable Economic Growth and the Adaptability of a National System of Innovation: A Socio-Cognitive Explanation for South Korea’s Mired Technology Transfer and Commercialization Process," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-26, May.
    9. Xuan Wei & Wei Chen, 2019. "How Does A Firm’s Previous Social Network Position Affect Innovation? Evidence from Chinese Listed Companies," Sustainability, MDPI, Open Access Journal, vol. 11(4), pages 1-20, February.
    10. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.

    More about this item

    Keywords

    Collaboration pattern; R&D performance; Social network analysis; Science policy; DEA window;

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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