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題名 Analysis of knowledge management trend by bibliometric approach
作者 Tsai, Hsu-Hao;Yang, Jiann-Min
蔡緒浩;楊建民
貢獻者 資管系
關鍵詞 Bibliometric; Knowledge management literature; Lotka`s laws; SSCI; Management; Productivity; Knowledge management
日期 2010-02
上傳時間 29-Jun-2015 17:26:42 (UTC+8)
摘要 The analysis is mainly concentrating on the knowledge management literatures productivity trend which subjects as "knowledge management" in SSCI database. The purpose what the analysis will propose is to summarize the trend information for knowledge management researchers since core knowledge will be concentrated in core categories. The result indicated that the literature productivity which topic as "knowledge management" is still increasing extremely and will demonstrate the trend by different categories including author, country/territory, institution name, document type, language, publication year, and subject area. Focus on the right categories, you will catch the core research information. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
關聯 World Academy of Science, Engineering and Technology, 62, 174-178
資料類型 article
dc.contributor 資管系
dc.creator (作者) Tsai, Hsu-Hao;Yang, Jiann-Min
dc.creator (作者) 蔡緒浩;楊建民zh_TW
dc.date (日期) 2010-02
dc.date.accessioned 29-Jun-2015 17:26:42 (UTC+8)-
dc.date.available 29-Jun-2015 17:26:42 (UTC+8)-
dc.date.issued (上傳時間) 29-Jun-2015 17:26:42 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76112-
dc.description.abstract (摘要) The analysis is mainly concentrating on the knowledge management literatures productivity trend which subjects as "knowledge management" in SSCI database. The purpose what the analysis will propose is to summarize the trend information for knowledge management researchers since core knowledge will be concentrated in core categories. The result indicated that the literature productivity which topic as "knowledge management" is still increasing extremely and will demonstrate the trend by different categories including author, country/territory, institution name, document type, language, publication year, and subject area. Focus on the right categories, you will catch the core research information. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) World Academy of Science, Engineering and Technology, 62, 174-178
dc.subject (關鍵詞) Bibliometric; Knowledge management literature; Lotka`s laws; SSCI; Management; Productivity; Knowledge management
dc.title (題名) Analysis of knowledge management trend by bibliometric approach
dc.type (資料類型) articleen