1. NCCU Academic Hub
  2. 學術產出
  3. 商學院
  4. 會議論文
  5. Item

學術產出-會議論文

文章檢視/開啟

書目匯出

Google ScholarTM

政大圖書館

引文資訊

TAIR相關學術產出

題名 Trend analysis of supply chain management productivity based on SSCI database by bibliometric methodology
作者 Tsai, Hsu-Hao;Chi, Yan-Ping
蔡緒浩;季延平
貢獻者 資管系
關鍵詞 This paper surveys supply chain management (SCM) technology trends and forecasts using bibliometric analysis from 1989 to 2009 with topic as "supply chain management" in SSCI database. The bibliometric analytical technique is used to examine the topic in SSCI journals from 1989 to 2009, based on the scope of 2558 literatures of SCM. This paper implemented and classified SCM literatures using the seven categories for different distribution status in order to explore how SCM technology trends and applications have developed in this period. Also, the paper will perform K-S test to verify the reliability of Lotka`s Law. The analysis provides a roadmap to guide future research and abstract the trend information so that SCM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
日期 2010
上傳時間 29-六月-2015 17:50:33 (UTC+8)
關聯 NISS2010 - 4th International Conference on New Trends in Information Science and Service Science, 2010, 論文編號 5488576, Pages 451-456, 4th International Conference on New Trends in Information Science and Service Science, NISS2010; Gyeongju; South Korea; 11 May 2010 到 13 May 2010; 類別編號CFP1013H-ART; 代碼 81823
資料類型 conference
DOI Analytical techniques; Bibliometric; Bibliometric analysis; Different distributions; K-S test; Lotka`s law; Lotka`s laws; Roadmap; SSCI; Technology trend; Technology trends; Trend analysis; Information science; Supply chains; Technology; Supply chain management
dc.contributor 資管系
dc.creator (作者) Tsai, Hsu-Hao;Chi, Yan-Ping
dc.creator (作者) 蔡緒浩;季延平zh_TW
dc.date (日期) 2010
dc.date.accessioned 29-六月-2015 17:50:33 (UTC+8)-
dc.date.available 29-六月-2015 17:50:33 (UTC+8)-
dc.date.issued (上傳時間) 29-六月-2015 17:50:33 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76126-
dc.relation (關聯) NISS2010 - 4th International Conference on New Trends in Information Science and Service Science, 2010, 論文編號 5488576, Pages 451-456, 4th International Conference on New Trends in Information Science and Service Science, NISS2010; Gyeongju; South Korea; 11 May 2010 到 13 May 2010; 類別編號CFP1013H-ART; 代碼 81823
dc.subject (關鍵詞) This paper surveys supply chain management (SCM) technology trends and forecasts using bibliometric analysis from 1989 to 2009 with topic as "supply chain management" in SSCI database. The bibliometric analytical technique is used to examine the topic in SSCI journals from 1989 to 2009, based on the scope of 2558 literatures of SCM. This paper implemented and classified SCM literatures using the seven categories for different distribution status in order to explore how SCM technology trends and applications have developed in this period. Also, the paper will perform K-S test to verify the reliability of Lotka`s Law. The analysis provides a roadmap to guide future research and abstract the trend information so that SCM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications.
dc.title (題名) Trend analysis of supply chain management productivity based on SSCI database by bibliometric methodology
dc.type (資料類型) conferenceen
dc.doi.uri (DOI) Analytical techniques; Bibliometric; Bibliometric analysis; Different distributions; K-S test; Lotka`s law; Lotka`s laws; Roadmap; SSCI; Technology trend; Technology trends; Trend analysis; Information science; Supply chains; Technology; Supply chain management