Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/126243
DC FieldValueLanguage
dc.contributor圖檔所
dc.creator李沛錞
dc.creatorLee*, Pei-Chun
dc.creatorSu*, Hsin-Ning
dc.date2012-04
dc.date.accessioned2019-09-19T01:47:57Z-
dc.date.available2019-09-19T01:47:57Z-
dc.date.issued2019-09-19T01:47:57Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/126243-
dc.description.abstractThis 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.extent968746 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationJournal of Informetrics, Vol.6, No.2, pp.202-216
dc.titleFraming the Structure of Global Open Innovation Research
dc.typearticle
dc.identifier.doi10.1016/j.joi.2011.12.001
dc.doi.urihttps://doi.org/10.1016/j.joi.2011.12.001
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairetypearticle-
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