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題名 Trend analysis of supply chain management 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 Analytical techniques; Bibliometric analysis; Bibliometric methodology; Different distributions; K-S test; Lotka`s laws; Roadmap; Technology trend and forecast; Technology trends; Trend analysis; Forecasting; Technology; Supply chain management
日期 2011-01
上傳時間 22-Jun-2015 14:28:18 (UTC+8)
摘要 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.
關聯 International Journal of Digital Content Technology and its Applications, 5(1), 285-295
資料類型 article
DOI http://dx.doi.org/10.4156/jdcta.vol5.issue1.31
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) 2011-01
dc.date.accessioned 22-Jun-2015 14:28:18 (UTC+8)-
dc.date.available 22-Jun-2015 14:28:18 (UTC+8)-
dc.date.issued (上傳時間) 22-Jun-2015 14:28:18 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76010-
dc.description.abstract (摘要) 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.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) International Journal of Digital Content Technology and its Applications, 5(1), 285-295
dc.subject (關鍵詞) Analytical techniques; Bibliometric analysis; Bibliometric methodology; Different distributions; K-S test; Lotka`s laws; Roadmap; Technology trend and forecast; Technology trends; Trend analysis; Forecasting; Technology; Supply chain management
dc.title (題名) Trend analysis of supply chain management by bibliometric methodology
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.4156/jdcta.vol5.issue1.31
dc.doi.uri (DOI) http://dx.doi.org/10.4156/jdcta.vol5.issue1.31