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Framing the structure of global open innovation research

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  • Su, Hsin-Ning
  • Lee, Pei-Chun

Abstract

This study proposes a way of mapping open innovation research structure by quantitatively analyzing open innovation research papers retrieved from Web of Science database. A total of 130 papers are retrieved in this study and 62 papers which contain keywords are chosen for research structure visualization. Open innovation research networks are quantitatively investigated by combining network theory and keyword co-occurrence. Contour maps of open innovation are also created on the basis of networks for visualization. The networks and contour maps can be expressed differently by choosing different information as the main actors, such as the paper author, the institute, the country or the author-keywords, to reflect open innovation research structures in micro, meso, and macro-levels, respectively.

Suggested Citation

  • Su, Hsin-Ning & Lee, Pei-Chun, 2012. "Framing the structure of global open innovation research," Journal of Informetrics, Elsevier, vol. 6(2), pages 202-216.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:2:p:202-216
    DOI: 10.1016/j.joi.2011.12.001
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    Cited by:

    1. Alex Fabianne de Paulo & Luísa Cagica Carvalho & Maria Teresa G.V. Costa & Jose Eduardo F. Lopes & Simone V.R. Galina, 2017. "Mapping Open Innovation: A Bibliometric Review to Compare Developed and Emerging Countries," Global Business Review, International Management Institute, vol. 18(2), pages 291-307, April.
    2. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    3. de Paulo, Alex Fabianne & Porto, Geciane Silveira, 2017. "Solar energy technologies and open innovation: A study based on bibliometric and social network analysis," Energy Policy, Elsevier, vol. 108(C), pages 228-238.

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