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題名 Framing the Structure of Global Open Innovation Research
作者 李沛錞
Lee*, Pei-Chun
Su*, Hsin-Ning
貢獻者 圖檔所
日期 2012-04
上傳時間 19-Sep-2019 09:47:57 (UTC+8)
摘要 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.
關聯 Journal of Informetrics, Vol.6, No.2, pp.202-216
資料類型 article
DOI https://doi.org/10.1016/j.joi.2011.12.001
dc.contributor 圖檔所
dc.creator (作者) 李沛錞
dc.creator (作者) Lee*, Pei-Chun
dc.creator (作者) Su*, Hsin-Ning
dc.date (日期) 2012-04
dc.date.accessioned 19-Sep-2019 09:47:57 (UTC+8)-
dc.date.available 19-Sep-2019 09:47:57 (UTC+8)-
dc.date.issued (上傳時間) 19-Sep-2019 09:47:57 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/126243-
dc.description.abstract (摘要) 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.
dc.format.extent 968746 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Informetrics, Vol.6, No.2, pp.202-216
dc.title (題名) Framing the Structure of Global Open Innovation Research
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.joi.2011.12.001
dc.doi.uri (DOI) https://doi.org/10.1016/j.joi.2011.12.001